Back
American Express logo

Senior Manager - Data Science

American Express · Posted Oct 27

Banking, credit card, payment network, and travel services

Bengaluru, KA, IndiaFull-timeHybridLead/Staff5+ years₹45.0L–₹70.0L yearly27 applicants
BankingPaymentsCredit CardsFinancial ServicesPublic Company
Be an early applicantFull time

Get a personal compatibility score

Add a resume for personal matches

About the role

Global Commercial Services (GCS) provides payments solutions for small, medium, and large enterprises. The Sales Enablement team drives sales effectiveness, portfolio performance, and growth across GCS. This role leads data science projects and a team of data scientists, applying machine learning, NLP, and generative AI to sales and client behavior, incentive effectiveness, and performance risk.

What you will do

  • Lead Data Science Projects: Design, develop, and deploy predictive and explanatory analytical solutions using machine learning, NLP, and generative AI to address critical business problems, strengthen forecasting, refine incentive plan designs, and identify gaming behaviors
  • Drive Analytics: Deliver high-impact analytics to inform strategy by developing actionable insights into Sales and client behavior. Introduce new approaches to transform complex behavioral data and influence decision-making across the organization
  • GenAI Analytics Use Case Development: Lead key workstreams in the design, development, and operationalization of a GenAI-enabled analytics solution that synthesizes internal performance data and external competitive signals into actionable insights, with defined success metrics and ongoing monitoring
  • Develop Modeling Capabilities: Build and evaluate models using modern ML frameworks (e.g., TensorFlow, PyTorch), focusing on scalability, performance, and interpretability
  • People Leadership: Lead a team of high-performing data scientists
  • Collaborate Across Teams: Establish and maintain close relationships with key cross-functional stakeholders to understand business strategies, develop goals, and address opportunities
  • Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using modern cloud and distributed compute patterns
  • Lead Innovation Through External Perspective: Stay current on advancements in machine learning, deep learning, and generative AI; evaluate emerging approaches; and translate theoretical advances into practical, scalable solutions that improve business outcomes. Challenge the status quo and demonstrate strong curiosity
  • Define Performance Indicators: Lead analytics and measurement of key performance indicators. Own stakeholder and executive-level communications on initiative progress, including automated monthly measurement tied to specific strategic initiatives
  • Communicate Insights Effectively: Present findings, recommendations, and results to technical and non-technical audiences, including executive leadership, through clear reports, visualizations, and presentations, to enable data-driven decision-making

Skills used in this role

PythonSQLSparkscikit-learnPyTorchTensorFlowMachine LearningDeep LearningNLPGenerative AILLMsRAGAPI IntegrationData VisualizationDistributed ComputingStatistical ModelingStakeholder ManagementPeople LeadershipProblem SolvingCommunicationAnalytical ThinkingIntellectual CuriosityAdaptability

What the employer is looking for

  • 5+ years of relevant work experience in data science, machine learning, and advanced analytics.
  • Bachelor’s degree required, preferably in a quantitative field such as Economics, Finance, Computer Science, Mathematics, Statistics, or Engineering
  • Experience developing and deploying statistical, machine learning, and deep learning models to solve business problems, using tools such as scikit-learn, PyTorch, or TensorFlow.
  • Experience developing GenAI solutions, including LLM API integration, retrieval-augmented generation (RAG), and model evaluation.
  • Strong analytical and conceptual thinking skills, with the ability to translate complex business problems into quantitative approaches and practical solutions
  • Proficiency in Python and SQL, with experience processing and analyzing large-scale structured and unstructured datasets using distributed computing frameworks (e.g. Spark).
  • Ability to synthesize complex analytical findings, develop effective data visualizations, and influence decisions across senior leadership and cross-functional stakeholders.
  • Ability to work independently and collaboratively across teams, demonstrating strong problem-solving skills, intellectual curiosity, and adaptability.

Preferred qualifications

  • Master’s degree or PhD in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.)
  • Stakeholder management at the executive level
  • People leadership experience

Benefits and support

  • 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

About American Express

American Express logo

American Express

Company website
LinkedInXCrunchbaseGlassdoor★4.1

American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.

Industry
Banking
Company size
76800 employees
Founded
1850-03-18
Location
New York City, New York, USA
Funding stage
Public Company

Leadership

SJ
Stephen J. Squeri

Chairman and Chief Executive Officer

CL
Christophe Le Caillec

Chief Financial Officer

RR
Ravi Radhakrishnan

Chief Information Officer and Executive Vice President

MR
Monique R. Herena

Chief Colleague Experience Officer

ER
Elizabeth Rutledge

Chief Marketing Officer

Recent coverage

Apply