Forecasting Data Scientist, Wipro

Data Scientist
Karnataka, India, Bengaluru
October 13, 2026
Full Time

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Job Description

Wipro is hiring a forecasting data scientist in Bengaluru to lead financial and subscriber forecasting initiatives. The role involves developing AI models, analysing revenue and retention trends, supporting budgeting and long-range planning, and applying Generative AI to business solutions. The position also includes stakeholder collaboration, solution design, product development, technical leadership, and mentoring data science teams. 

Qualification: Bachelor’s degree/master’s degree preferred

Experience: 5–8 years

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Responsibilities

  • Forecasting for lead generation related to subscriber growth, churn, retention, reactivation, active subscribers, revenue, LTV, and cash flows.
  • Model creation for cohorts, survival analysis, scenarios, and sensitivity analysis in order to forecast better and plan accordingly.
  • Implementing artificial intelligence models and generative AI solutions according to the complexities in business and product.
  • Working together with Finance, FP&A, Growth, Product, Delivery, and other stakeholder teams to create solutions and plan accordingly.
  • Leading product development, finding business opportunities, conducting root cause analysis, and creating data-driven solutions.

Requirements

  • 5 to 8 years of experience in data science, forecasting, analytics, AI, or any similar technical field.
  • In-depth knowledge of financial forecasting, subscriber analytics, revenue trends, retention, and business planning.
  • Experience with hands-on model creation and using the generative AI methodology to address business problems.
  • Experience in evaluating the technology landscape, designing the solution architecture, and turning client requirements into solutions.
  • Strong communication skills, stakeholder management skills, and problem-solving abilities.

Preferred Qualifications

  • Familiarity with cohort analysis, survival analysis, scenario planning, sensitivity analysis, and uncertainty analysis.
  • Experience in designing AI-powered solutions, architecture, applications and systems.
  • Familiarity with the latest trends in AI and applications of AI for product development and transformation of business.
  • Experience in customer engagements, product demonstration, RFPs, solution consulting, and strategy discussions.
  • Experience in coaching teams, managing resources, and enabling innovation.

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