Explore entry-level data science intern roles in India. Numerous opportunities exist for aspiring data scientists to gain practical experience in this growing field. These internships provide a chance to work with real-world datasets, applying machine learning techniques and statistical analysis. This field is experiencing a huge growth so this is a great time to get involved.2,881 Data Science Intern jobs in India
Data Science Intern
Delhi, Delhi
Zetheta Algorithms Private Limited
Job Viewed
Job Description
About the Company
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
- Conduct data cleaning, wrangling, and pre-processing for financial datasets.
- Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
- Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
- Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Use either one – Python, Excel or R to analyse, visualize, and model financial data.
- Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
- Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
- Strong problem-solving and analytical skills.
- Able to self-learn and work independently in a remote, flexible environment.
Internship Details
- Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
- Timing: Self-paced.
- Type: Unpaid
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
- Conduct data cleaning, wrangling, and pre-processing for financial datasets.
- Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
- Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
- Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Use either one – Python, Excel or R to analyse, visualize, and model financial data.
- Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
- Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
- Strong problem-solving and analytical skills.
- Able to self-learn and work independently in a remote, flexible environment.
Internship Details
- Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
- Timing: Self-paced.
- Type: Unpaid
This advertiser has chosen not to accept applicants from your region.
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Data Science
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted today
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.
0
Data Science
Hyderabad, Andhra Pradesh
Anicalls (Pty) Ltd
Posted today
Job Viewed
Job Description
• Design, develop, and evaluate state-of-the-art machine learning models for complex, large-scale data sets.
• .Use machine learning, statistical, and programming skills to enable data analytics.
• Drive informed decision-making and present findings to both technical and non-technical audiences.
• Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact.
• Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases
• Provide technical direction and mentor junior members of the Medical Informatics team.
• Work closely with software engineers to facilitate model integration and deployment.
• Embrace a fast-paced, collaborative environment dedicated to building atop cutting-edge technology.
• .Use machine learning, statistical, and programming skills to enable data analytics.
• Drive informed decision-making and present findings to both technical and non-technical audiences.
• Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact.
• Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases
• Provide technical direction and mentor junior members of the Medical Informatics team.
• Work closely with software engineers to facilitate model integration and deployment.
• Embrace a fast-paced, collaborative environment dedicated to building atop cutting-edge technology.
This advertiser has chosen not to accept applicants from your region.
1
Data science
Persistent Systems
Posted 1 day ago
Job Viewed
Job Description
About Position: We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 2nd August 2025. Interview Location is mentioned below:Pune – Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, Dada Mastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML , Lang Chain, Lang Graph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics.Role: Mlops, Data ScienceJob Location: All PSL Location Experience: 5+ YearsJob Type: Full Time EmploymentWhat You'll Do: Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML).Automate model training, validation, monitoring, and retraining workflows.Implement model governance, versioning, and reproducibility best practices.Collaborate with data scientists, engineers, and product teams to operationalize ML solutions.Ensure robust monitoring and performance tuning of deployed modelsExpertise You'll Bring: Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, Sage Maker, Vertex AI, etc.).Proficient in containerization (Docker, Kubernetes).Good knowledge of cloud platforms (AWS, Azure, or GCP).Expertise in Python and familiarity with ML libraries (Tensor Flow, Py Torch, scikit-learn).Solid understanding of CI/CD, infrastructure as code, and automation tools.Benefits:Competitive salary and benefits packageCulture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certificationsOpportunity to work with cutting-edge technologiesEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awardsAnnual health check-upsInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parentsInclusive Environment:Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.We offer hybrid work options and flexible working hours to accommodate various needs and preferences.Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.Our company fosters a values-driven and people-centric work environment that enables our employees to:Accelerate growth, both professionally and personallyImpact the world in powerful, positive ways, using the latest technologiesEnjoy collaborative innovation, with diversity and work-life wellbeing at the coreUnlock global opportunities to work and learn with the industry’s bestLet’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”
This advertiser has chosen not to accept applicants from your region.
2
Data Science
Mumbai, Maharashtra
TESTQ Technologies
Posted today
Job Viewed
Job Description
**Skills Required**:
Data Science, Machine Learning, SQL, Python.
**Roles & Responsibilities**
- Develop new algorithms and enhance existing ones to solve domain-specific challenges.
- Build, train, and deploy machine learning models end-to-end. - Collaborate with product and engineering teams to integrate models into production systems.
- Develop POCs and drive innovation by exploring emerging technologies and methodologies.
- Work with cross-functional teams (Data Engineering, Advisory, Product) to identify opportunities and implement process improvements,
**Mandatory Skills & Experience**
- Machine Learning - Hands-on experience building at least one ML model independently (end-to-end).
- Programming - Strong skills in Python and SQL (PySpark experience is a plus).
- Strong problem-solving, analytical thinking, and ability to translate business needs into data-driven solutions. - Good communication and collaboration skill
Data Science, Machine Learning, SQL, Python.
**Roles & Responsibilities**
- Develop new algorithms and enhance existing ones to solve domain-specific challenges.
- Build, train, and deploy machine learning models end-to-end. - Collaborate with product and engineering teams to integrate models into production systems.
- Develop POCs and drive innovation by exploring emerging technologies and methodologies.
- Work with cross-functional teams (Data Engineering, Advisory, Product) to identify opportunities and implement process improvements,
**Mandatory Skills & Experience**
- Machine Learning - Hands-on experience building at least one ML model independently (end-to-end).
- Programming - Strong skills in Python and SQL (PySpark experience is a plus).
- Strong problem-solving, analytical thinking, and ability to translate business needs into data-driven solutions. - Good communication and collaboration skill
This advertiser has chosen not to accept applicants from your region.
3
Data Science
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED
Posted 13 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.
4
Data Science
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted 27 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.
5
Data Science
Chennai, Tamil Nadu
Colan Infotech Private Limited
Posted 27 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.
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Data Science Data Designer
Bengaluru, Karnataka
Accenture
Posted today
Job Viewed
Job Description
**Project Role**:Data Designer
- ** Project Role Description**:Utilizes data science methodology to inform the design research process. Employs statistical and quantitative data analysis to enhance solution development.
- ** Management Level**:8
- ** Work Experience**:8-10 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:
- ** Good To Have Skills**:
- ** Job Requirements:
**- **
Technical Experience **:Python Dev, 8 years experience Min 6 years experience A: Using APIs in python Flask, Falcon or Django, Kafka ML and python libraries as scikit-learn, numpy and pandas B:Machine learning, Deep learning, Image Processing Familiarity with Apache SOLR, MongoDB C:Familiarity with Celery, Rabbit MQ for background task queues Data pre-processing techniques GIT, Docker, Jenkins, Swagger, Cloud AWS/Azure
- **
Professional Attributes **:Good Communication skills, Good in Analytics and collaboration
- **
Educational Qualification **:std Accenture requirements
15 years of full time education
- ** Project Role Description**:Utilizes data science methodology to inform the design research process. Employs statistical and quantitative data analysis to enhance solution development.
- ** Management Level**:8
- ** Work Experience**:8-10 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:
- ** Good To Have Skills**:
- ** Job Requirements:
**- **
Technical Experience **:Python Dev, 8 years experience Min 6 years experience A: Using APIs in python Flask, Falcon or Django, Kafka ML and python libraries as scikit-learn, numpy and pandas B:Machine learning, Deep learning, Image Processing Familiarity with Apache SOLR, MongoDB C:Familiarity with Celery, Rabbit MQ for background task queues Data pre-processing techniques GIT, Docker, Jenkins, Swagger, Cloud AWS/Azure
- **
Professional Attributes **:Good Communication skills, Good in Analytics and collaboration
- **
Educational Qualification **:std Accenture requirements
15 years of full time education
This advertiser has chosen not to accept applicants from your region.
7
Analyst-Data Science
Haryana, Uttar Pradesh
American Express
Posted 1 day ago
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.
**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.
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
* 0-18 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,
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.
**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.
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
* 0-18 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,
This advertiser has chosen not to accept applicants from your region.
8
Analyst-Data Science
Karnataka, Karnataka
American Express
Posted 1 day ago
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.
**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.
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
* 0-18 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,
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.
**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.
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
* 0-18 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,
This advertiser has chosen not to accept applicants from your region.
9