What Jobs are available for Data Science Analyst in India?

Key responsibilities
Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation
Develop and implement machine learning models and algorithms, whilst also providing guidance and leadership to other data scientists to implement industry best practices.
Proactive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient lead data science analyst.
KPIs: Timeliness, accuracy, manager and client feedback (Internal and external as required)
Collaborate with internal stakeholders and demonstrate the ability to transform client questions and problems into analytical solutions
Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions
Build industry knowledge on the advancements in the field of analytics, data science and GenAI
Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture.
Key activities
Working in a team to support end-to-end analytical projects
Liaising with stakeholders to determine objectives / scope of upcoming projects
Data exploration, cleansing and manipulation
Determining appropriate type of analysis and undertaking analysis/modelling
Extracting insights
Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualization tools  
Participate in client meetings
Ongoing stakeholder interaction (internal and external as required) on project progress
Contribute to the Feedback process (between stakeholders and the team)  to ensure continuous improvement with team
Participate and contribute  in learning forums such as Analytics Community and sharing knowledge with wider team
Experience and education required
4 to 6+ years' experience in a technical analytics environment, carrying out data analytics and data science/AI projects and initiatives
Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline
Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts
Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment
Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches
Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS
Experience in visualization and data management tools is an added advantage
Experience in GenAI/ LLMs is an added advantage
Experience working with complex datasets
Attention to detail and self driven continuous learning
Participation in external data hackathons and competitions will be an added advantage
**About The Cigna Group**
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Professional, Statistical Analysis
**What Does a great Analytics Professional do at Fiserv?**
Fiserv is looking for a talented analytical professional who plays a crucial role in an organization by leveraging their skills and expertise to extract valuable insights from data, enabling data-driven decision-making and contributing to the organization's success. Using product knowledge, subject matter expertise and technical skills, you will provide the highest level of service to resolve the client/customer's issues.
**What will you do:**
+ Deep dive data analysis, detect patterns in data and present analysis to business
+ Work with business for requirements gathering and building analytical solution
+ Understand business drivers and how data is used to inform and drive decisions and behaviors.
+ Conducting complex analysis using statistical and other quantitative techniques.
+ Work with large volumes of data and apply ML techniques towards solving business problems
+ Experience with data manipulation, feature engineering, and data preprocessing techniques.
+ Applying statistical methods & techniques for problem solving
+ Ensure timely delivery of the project
+ Results are oriented towards excellent communication and interpersonal skills.
+ Communicate validation findings and recommendations to stakeholders in a clear and concise manner, both verbally and through written reports or presentations.
+ Effective communication stakeholders.
**What you will need to have:**
+ Bachelor's degree in Statistics/mathematics or equivalent qualification
+ 3-5 years of experience in solving business problems by applying advanced statistics.
+ Hands-on experience of statistical tools like Python and R.
+ Expertise in Python with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
+ Hands-on experience with machine learning frameworks along with solid understanding of statistical modeling, hypothesis testing, and experimental design.
**What would be nice to have:**
+ Good to have analysis using Cloud databases like Snowflake and Azure.
+ Knowledge of GenAI and its usage.
+ Good to have banking and Payment domain.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

**HIH** **-** **Data Science Lead Analyst**
ABOUT EVERNORTH:
Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don't, won't or can't.
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.
We are always looking upward. And that starts with finding the right talent to help us get there.
Job Description
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
Do you have a passion for machine learning / artificial intelligence? Are you excited about using your skills to help individuals improve their health?
Evernorth's Data Science Center of Excellence applies advanced Data Science (DS), Artificial Intelligence (AI) and Machine Learning (ML) to produce solutions that reduce customer health costs and improve outcomes and business processes. Using state of the art AI tools, DS platforms, ML libraries, and optimization tools, we leverage internal, external, online and offline data sources comprising clinical, provider & Rx data, and behavioral/attitudinal data.
**Role Summary**
Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have. Your work will require deep acquaintance with Evernorth's data, seeking to find ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as well as informing on new strategy. In addition to collaborating with Data Science Management and Business Analytics partners to establish strategic priorities, you will work closely with Data & Engineering to deliver code that is robust and ready to scale.
+ Data acquisition, QC and exploratory analysis on transactional member data
+ Create models using ML / AI techniques to predict risk and identify actionable insights
+ Deliver clean, reusable, and scalable code
+ Work closely with Data & Engineering to deploy models
+ Partner with senior team members on the latest analytic techniques, technologies, and methods
Qualifications
**Required Education**
+ MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience
**R** **equired** **Skills**
+ The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.
**R** **equired** **Experience**
+ 5-8 years of industry experience with Data Mining, Statistical Analysis and leading ML / AI methods; XGBoost, Light GBM, deep learning, reinforcement learning, optimization required
+ 5-8 years of experience with Python, PySpark and its data science libraries
+ Excellent oral and written communication skills
**Desired** **Experience**
+ Prior experience working in the healthcare industry, services ops or digital domain
+ Experience with deploying predictive models into production
+ Experience working with business stakeholders
**Location & Hours of Work**
+ Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate
+ Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)
**Equal Opportunity Statement**
_Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations._
**About Evernorth Health Services**
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

**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:**

**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:**

**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.
**How will you make an impact in this role?**
Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.
The Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
**Responsibilities:**
The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models.  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:
1. Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.
2. Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
3. Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact 
4. Communicating results to partners, senior leadership and various model committees
5. Critical Factors to Success:
1. Business Outcomes:
1. Drive billing, revenue growth and profitability through advanced analytical techniques
2. Maximize business returns by institutionalizing efficient and accurate models.
3. Innovate modeling techniques and variable creation
4. Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning
2. Leadership Outcomes:
1. Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
2. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
3. Demonstrate learning agility, make decisions quickly and with the highest level of integrity
4. Lead with a digital mindset and deliver the world's best customer experiences every day
**Minimum Qualifications**
+ Bachelor's required In Economics, Statistics Or Related Fields
+ Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have
+ Hands-on model development or validation experience. Good understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
+ Strong Analytical and Relationship and project management skills for driving validation initiatives.
+ 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.
**Preferred Qualifications**
+ Master's degree preferred.
+ Preferred 1 years of experience in analytics or big data workstreams
+ Experience with NLP / NLU model and chatbot frameworks would be preferred.
+ Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
**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.
GUARDIAN
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**

**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**
The Global Risk & Compliance Organization (GRC) is an independent risk management function, led by the Chief Risk Officer, with the objective of ensuring that American Express operates in a safe, sound, and fully compliant manner with all applicable regulatory expectations. GRC creates and maintains the overall risk management framework, performs independent risk management assessments, and monitors applicable risks.
The Enterprise Conduct Risk Management team within Global Risk and Compliance (GRC) is responsible for identifying and managing conduct risk across all processes and geographies at American Express.
We are seeking a highly motivated and analytical professional to join as a Analyst in Conduct Risk Management. The successful candidate will be responsible for identifying, measuring, monitoring, and reporting on conduct risks with advanced data analytics alongside providing independent oversight and challenge of conduct risks across the enterprise, with a focus on ensuring behaviors and processes align with regulatory expectations and our company's Risk Appetite.
This position offers exposure to enterprise-level risk management, frequent interaction with stakeholders across the business, and an opportunity to influence key decisions that promote sound risk culture and accountability.
**Key Responsibilities:**
* Perform data analytics on unstructured data to identify trends, composition, leading indicators, and outlook in conduct risk dimensions (Knowledge of NLP modeling techniques preferred)
* Use advanced AI-ML techniques to identify systemic issues discovered through various data channels, e.g. complaints, email communications, social media, Amex Ethics Hotline, Whistleblower report, and Colleague & Labor Relations cases
* Provide independent oversight of the first-line business activities to ensure conduct risks are appropriately identified, assessed, managed and reported
* Perform periodic scheduled reviews and sample-based testing to evaluate the adequacy and effectiveness of conduct risk management strategies and control mechanisms
* Identify issues, escalate key findings, and advise on recommended solutions to correct issues or mitigate risks within scheduled, triggered, and ongoing oversight activities.
**Minimum Qualifications**
**Academic Qualifications**
* Postgraduate (M.Tech / MBA / M. Stats / MA Economics)
**Experience Requirement**
* Prior experience in risk management and data analytics or similar domain will be preferred
**Technical Requirements**
* Prior experience working on Advanced AI-ML techniques including NLP techniques would be preferred
* Strong analytical skills, including a proven ability to translate complex and disparate information into a comprehensive and cohesive conclusion
**Behavioral Aspects**
* Demonstrated ability to apply thought leadership and strategic thinking to deliver initiatives to advance a programs' maturity and development
* Ability to Influence and help embed a strong risk-aware culture throughout the organization, encouraging proactive risk management behaviors at all levels
* Exceptional professional communication skills - clear, logical, and structured
* Devote significant attention to details, remain highly organized
* Strong sense of integrity and the ability and willingness to challenge (and be challenged)
* Impeccable integrity required for handling confidential information
This role is required to be on-site 3 days/week.
**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:**

**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.
**How will you make an impact in this role?**
Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.
**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.
With a focus on digitization, innovation, and analytics, the Global Decision Sciences (GDS) team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of GDS is the integration of diverse skills across all of its remit. GDS has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The Amex AI Labs of American Express Corporation is looking for best in class Senior Research Engineers to work in a dynamic and rewarding workplace. Amex AI Labs is currently co-located in Bangalore, Gurgaon and New York and involves dynamic and talented researchers with Ph.D. or Master's degree from top tier institutes in India and abroad having research and product development expertise in AI/ML technologies such as - Deep Learning, Data Science, Natural Language Processing, Cloud Technologies and related technical areas. Going beyond building products and solutions for traditional financial domains such as credit and fraud, the team is also working on challenging research problems in domains such as services, human resource management, travel & lifestyle, and many more. The key goal is to progress the state of the art in science and develop products to solve business problems, in a domain-agnostic manner, for American Express.
**Purpose of the Role:**
Collaborate on next generation research services in the areas of Artificial Intelligence (AI) to aid solutions to complex business problems for American Express
**Responsibilities:**
Amex AI Labs is looking for individuals with AI R&D background for AI Research & Services team in Bangalore/Gurgaon. The team works on handling capabilities centred on Document Analysis, NLP, AI research from conception to launch. Successful candidates are expected to partner with different business and technology teams in American Express to build capabilities for high impact use-cases. We are looking for extremely agile and entrepreneurial candidates who will help innovate and execute product initiatives across the company.
+ Lead the ideation and launch of innovative AI/ML capabilities & services
+ Hands on Deep learning Algorithms like BERT, RNN, LSTM, Transformer, GRU, GAN etc
+ Building GenaI capabilities like Prompt Engineering, Fine-Tuning, RAG and Agentic frameworks
+ Working with MLOPs capability like MLFlow, AirFlow etc and understanding of deployment capabilities on public cloud (AWS, GCP) and on-prem infrastructure
+ Technically hands-on working with big data sets using Python/JAVA/SPARK, doing EDA and bringing insights from data
+ Building POCs basis on research papers analysis while simulating business impact and Transform MVPs to production grade capabilities in collaboration with engineering teams
+ Authoring and publishing papers, adopting open source tools, presenting in conferences, conducting R&D driving company revenue.
+ Innovate ways to evangelize the product to drive Amex wide user adoption
+ Contribute to the strategy and roadmap of AI/ML Initiatives to help drive most impact
+ Evaluate prospective features in AI Services and ability to priortise them with changing requirements in the direction of AI adoptions.
Leadership Outcomes:
+ Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
+ 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
**Past Experience:**
+ 2 years of building machine learning models using advance AI techniques
+ 1-3 years of experience in working with product/engineering/automation development teams in a fast paced, complex, and dynamic environment.
+ Experience in leveraging Agile, Scrum or other rapid application development methodologies
**Academic Background:**
Undergraduate/Master's/PHD in Computer Science/ Data Science/ Statistics/ Mathematics, MBA from institutes of global repute.
**Functional Skills:**
+ Ability & experience in taking a prototype to a product stage
+ Different aspects of research and development
+ Strong quantitative, analytical, and structured problem-solving skills.
+ Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams
+ Excellent verbal and written communications skills
+ Experience defining and developing a new product or service.
**Technical Skills:**
+ Good coding skills in Python, SPARK, Hive, GIT
+ Good Understand of Deep Learning Algorithms and NLP
+ Superior math & programming skills and hands-on experience in machine learning tools
+ Understanding of how CI/CD works
+ Exposure to Public Cloud Deployment (AWS, GCP)
+ Proficient in statistical techniques
+ Background in Natural Language Processing
**Knowledge of Platforms:**
Knowledge of Big Data Platforms such as Hadoop , SQL is preferred
**Behavioral Areas:**
Enterprise Leadership Behaviors
+ Set The Agenda: 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:** Credit
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**

**What you'll do:**
Overview
Are you ready to shape the future of workforce strategy through data? As a Senior Analyst (Data Science) in our Workforce Insights Team, you'll lead high-impact, end-to-end analytics initiatives that drive smarter, more strategic decisions across HR and business functions.
This role is ideal for someone who thrives at the intersection of advanced statistical modeling, causal inference, and real-world problem solving. You'll architect robust analytical solutions, from framing complex workforce challenges to designing scalable models and experiments that deliver actionable insights.
We're looking for a data science professional who:
- Translates complex datasets into clear, compelling narratives for stakeholders.
- Designs and implements high-quality, reproducible models with lasting business impact.
- Champions analytical rigor, documentation excellence, and solution scalability.
If you're passionate about using data to unlock workforce potential and influence enterprise-wide decisions, this is your opportunity to make a measurable difference.
What you'll do
Data science & experimentation
- Frame ambiguous workforce problems into testable hypotheses; choose fit‑for‑purpose methods and clearly communicate assumptions and limitations.
- Apply statistical techniques like hypothesis testing, regression, causal inference, survival/time‑series, and ensemble methods to drive actionable recommendations.
- Use ML/NLP across structured and unstructured HR data (e.g., text from surveys or talent profiles); design A/B or quasi‑experiments where appropriate.
Build & operate
- Develop production‑ready pipelines and models in Python/R with SQL; publish decision‑ready visuals in Power BI (or equivalent).
- Establish reproducibility (versioning, environments, modular code) and monitoring (drift, performance, fairness) with clear runbooks and documentation.
- Partner with data engineering on ETL/ELT and analytics engineering best practices to ensure scalability and reliability.
Governance & responsible AI
- Handle HR data with care: follow Eaton's Data Protection standards for PII/SPII, privacy‑by‑design, access controls, and model transparency.
Stakeholder partnership & impact
- Co‑create problem statements, success metrics, and acceptance criteria with HR and business leaders; communicate insights for non‑technical audiences.
- Connect insights into decisions and outcomes (e.g., quality of hire, retention, productivity, org health); quantify impact and document learning.
- Lead medium‑to‑large analytics projects with minimal oversight; coach peers on methods and code quality; contribute re‑usable components and standards.
**Qualifications:**
- Bachelor's degree in Statistics, Data Science, Engineering, Computer Science, or related field or equivalent practical experience; master's preferred.
- 6-8 years of applied data science/advanced analytics, ideally in People/Workforce Analytics or adjacent domains with sensitive data.
**Skills:**
- Proficiency in Python (pandas, scikit‑learn/statsmodels), R, and dashboards in Power BI (or similar).
- Strong grounding in statistical modeling, causal inference, experimental design, and time‑series.
- Demonstrated ability to translate complex analyses into clear recommendations for senior stakeholders.
- Excellent communication and storytelling.