495 Machine Learning Techniques jobs in India
Trainee Intern Data Science
560xxx Bangalore
What Digital Technologies Group
Posted 16 days ago
Job Viewed
Job Description
Company Overview – WhatJobs Ltd
WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.
Position: Data Science Trainee/Intern
Location: Commercial Street
Duration: 3 Months
Type: Internship/Traineeship (with potential for full-time opportunities)
Role Overview
We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.
Key Responsibilities
- Collect, clean, and analyze datasets to derive meaningful insights.
- Assist in building and evaluating machine learning models.
- Work with visualization tools to present analytical results.
- Support the team in developing data pipelines and automation scripts.
- Research new tools, techniques, and best practices in data science.
Requirements
- Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
- Understanding of statistics, probability, and data analysis techniques.
- Familiarity with machine learning concepts.
- Knowledge of Google Data Studio and BigQuery for reporting and data management.
- Strong analytical skills and eagerness to learn.
- Good communication and teamwork abilities.
What We Offer
- Hands-on experience with real-world data science projects.
- Guidance and mentorship from experienced data professionals.
- Opportunity to work with a global technology platform.
- Certificate of completion and potential for full-time role.
Company Details
About What Digital Technologies Pvt Ltd What Digital Technologies Pvt Ltd is one of the world's fastest-growing online job search specialists. Launched in London in 2011, our flagship product WhatJobs attracts millions of job seekers around the world. Every minute of every day, we help our users connect with employers worldwide to find their perfect job.
This advertiser has chosen not to accept applicants from your region.
0
Data Science
Mumbai, Maharashtra
Tata Consultancy Services
Posted 3 days ago
Job Viewed
Job Description
Experience: 6-8years
Looking for Senior Data Science Developers (immediate joiners).
Key Responsibilities:
- Analyze large, complex datasets to identify trends, patterns, and opportunities.
- Develop and deploy machine learning models to solve business challenges.
- Communicate findings through data visualizations and reports.
- Collaborate with data engineers, analysts, and product teams to turn insights into action.
- Design and implement A/B tests to evaluate feature performance or business hypotheses.
- Translate business problems to data science problem
- Work with stakeholders to understand data needs and deliver custom solutions.
Must have Skills:
- Proficiency in Python for data analysis and modeling.
- Strong knowledge of SQL and working with relational databases.
- Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc).
- Experience in Forecasting will be added advantage
- Solid understanding of statistics , probability , and hypothesis testing .
- Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
- Working knowledge with cloud platforms like AWS, Databricks (Databricks preferred)
- Experience in MLOP's and CI/CD work flow
- Expeirence in developing end to end pipeline in any of cloud platform (AWS and Databricks)
This advertiser has chosen not to accept applicants from your region.
1
Data Science
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED
Posted 7 days ago
Job Viewed
Job Description
Company Overview
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.
Job Overview
We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.
Qualifications and Skills
- Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
- Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
- Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
- Experience with payroll processing, reflecting an understanding of financial data management.
- Data visualization skills to communicate data insights effectively. (Mandatory skill)
- Ability to work independently and collaboratively within a team to achieve common objectives.
- Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
- Excellent communication skills, both written and verbal, to present data findings clearly.
Roles and Responsibilities
- Analyze large datasets to discover trends and patterns that support business objectives.
- Collaborate with team members to understand data requirements and design analytical solutions.
- Develop and implement data models to optimize business processes and improve operational efficiency.
- Create intuitive data visualizations and dashboards to present insights to stakeholders.
- Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
- Support the companys data-driven culture by promoting and educating team members on data importance.
- Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
- Stay updated on industry trends and advancements in data science to apply best practices.
This advertiser has chosen not to accept applicants from your region.
2
Data Science
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted 21 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
This advertiser has chosen not to accept applicants from your region.
3
Data Science
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted 21 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai/Bangalore
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Interested candidates send updated resume to
This advertiser has chosen not to accept applicants from your region.
4
Analyst-Data Science
Haryana, Uttar Pradesh
American Express
Posted today
Job Viewed
Job Description
**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
+ **Functional Description** :Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. **Roles & Responsibilities** :The successful candidate will be responsible to manage and controls model risk, specifically associated to the regulatory models like CCAR, CECL, IFRS9, Economic Capital and Membership Reward. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.The specific responsibilities include:
* Conduct independent oversight of enterprise-wide models with a focus on a variety of statistical and mathematical models developed and used in Finance, Treasury and Risk - Economic Capital models, IFRS9, CECL, and CCAR Stress Test models,
* Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
* Conduct research to explore opportunities to elevate model excellence and drive business impact
* Communicating results to partners, senior leadership and various model committees **Critical Factors to Success:** 1.Business Outcomes:
* Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models
* Maximize business returns by institutionalizing efficient and accurate models.
* Innovate modeling techniques and variable creation
* Ensure modeling accuracy and enhance modeling efficiency in existing processes2. Leadership Outcomes:
* Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
* Lead with an external perspective, challenge status quo and bring continuous innovation to the existing models
* Demonstrate learning agility, make decisions quickly and with the highest level of integrity
* Lead with a digital mindset and deliver the world's best customer experiences every day **Minimum Qualifications:** 0-2 years' experience in analytics or big data workstreams Master's degree in economics, Statistics or Related Fields from Top Tier InstituteFunctional Skills/Capabilities:Hands-on model development or validation experience.
* Strong Analytical and Relationship and project management skills for driving validation initiatives.
* Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
* Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
* Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
* Effectively communicating complex Analytical results to Business Partners and Senior Management.
* Flexibility and Adaptability to Work Within tight deadlines and changing priorities.Technical Skills/Capabilities:Experience with at least one of the data manipulation tools such as Python, Py Spark etc. is a must have. Data Science/Traditional Modeling such as Linear, Logisitic Regression etc, Expertise in Coding. **Behavioral Skills/Capabilities:** Enterprise Leadership Behaviors
* Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
* Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
* Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
+ **Functional Description** :Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. **Roles & Responsibilities** :The successful candidate will be responsible to manage and controls model risk, specifically associated to the regulatory models like CCAR, CECL, IFRS9, Economic Capital and Membership Reward. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.The specific responsibilities include:
* Conduct independent oversight of enterprise-wide models with a focus on a variety of statistical and mathematical models developed and used in Finance, Treasury and Risk - Economic Capital models, IFRS9, CECL, and CCAR Stress Test models,
* Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
* Conduct research to explore opportunities to elevate model excellence and drive business impact
* Communicating results to partners, senior leadership and various model committees **Critical Factors to Success:** 1.Business Outcomes:
* Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models
* Maximize business returns by institutionalizing efficient and accurate models.
* Innovate modeling techniques and variable creation
* Ensure modeling accuracy and enhance modeling efficiency in existing processes2. Leadership Outcomes:
* Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
* Lead with an external perspective, challenge status quo and bring continuous innovation to the existing models
* Demonstrate learning agility, make decisions quickly and with the highest level of integrity
* Lead with a digital mindset and deliver the world's best customer experiences every day **Minimum Qualifications:** 0-2 years' experience in analytics or big data workstreams Master's degree in economics, Statistics or Related Fields from Top Tier InstituteFunctional Skills/Capabilities:Hands-on model development or validation experience.
* Strong Analytical and Relationship and project management skills for driving validation initiatives.
* Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
* Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
* Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
* Effectively communicating complex Analytical results to Business Partners and Senior Management.
* Flexibility and Adaptability to Work Within tight deadlines and changing priorities.Technical Skills/Capabilities:Experience with at least one of the data manipulation tools such as Python, Py Spark etc. is a must have. Data Science/Traditional Modeling such as Linear, Logisitic Regression etc, Expertise in Coding. **Behavioral Skills/Capabilities:** Enterprise Leadership Behaviors
* Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
* Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
* Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**
This advertiser has chosen not to accept applicants from your region.
5
Analyst- Data Science
Karnataka, Karnataka
American Express
Posted today
Job Viewed
Job Description
**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
**Description on the role (For Data Science Req)**
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-30 months of experience in analytics, big data workstreams.
* Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
**Preferred Qualifications**
* Expertise in Coding, Algorithm, High Performance Computing
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Other Locations:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
**Description on the role (For Data Science Req)**
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-30 months of experience in analytics, big data workstreams.
* Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
**Preferred Qualifications**
* Expertise in Coding, Algorithm, High Performance Computing
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Other Locations:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**
This advertiser has chosen not to accept applicants from your region.
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6
Analyst- Data Science
Haryana, Uttar Pradesh
American Express
Posted today
Job Viewed
Job Description
**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
**Description on the role (For Data Science Req)**
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-30 months of experience in analytics, big data workstreams.
* Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
**Preferred Qualifications**
* Expertise in Coding, Algorithm, High Performance Computing
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Other Locations:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
**Description on the role (For Data Science Req)**
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-30 months of experience in analytics, big data workstreams.
* Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
**Preferred Qualifications**
* Expertise in Coding, Algorithm, High Performance Computing
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Other Locations:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**
This advertiser has chosen not to accept applicants from your region.
7
Analyst-Data Science
Karnataka, Karnataka
American Express
Posted 1 day ago
Job Viewed
Job Description
**Description**
**About Amex**
You Lead the Way. We've Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
**Description on the role**
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-30 months of experience in analytics, big data workstreams Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
**Preferred Qualifications**
* Expertise in Coding, Algorithm, High Performance Computing
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Other Locations:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**
**About Amex**
You Lead the Way. We've Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
**Description on the role**
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-30 months of experience in analytics, big data workstreams Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
**Preferred Qualifications**
* Expertise in Coding, Algorithm, High Performance Computing
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Other Locations:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**
This advertiser has chosen not to accept applicants from your region.
8
Analyst-Data Science
Haryana, Uttar Pradesh
American Express
Posted 1 day ago
Job Viewed
Job Description
**Description**
**About Amex**
You Lead the Way. We've Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
**Description on the role**
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-30 months of experience in analytics, big data workstreams Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
**Preferred Qualifications**
* Expertise in Coding, Algorithm, High Performance Computing
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Other Locations:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**
**About Amex**
You Lead the Way. We've Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
**Description on the role**
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-30 months of experience in analytics, big data workstreams Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
**Preferred Qualifications**
* Expertise in Coding, Algorithm, High Performance Computing
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Other Locations:** India-Karnataka-Bengaluru Urban
**Schedule** Full-time
**Req ID:**
This advertiser has chosen not to accept applicants from your region.
9