Aditya Birla Capital - Decision Scientist

Role Overview:

We are looking for a Decision Scientist with strong analytical problem-solving skills to translate customer and business data into actionable decisions and strategies across lending, insurance, mutual funds, and payments.

Key responsibilities:

- Own end to end problem solving: translate business questions into analytical approaches and actionable recommendations.

- Build and automate BI frameworks (dashboards, KPIs, cohorts) to track funnel, campaign, and channel performance.

- Drive acquisition, upsell and cross-sell strategies through customer segmentation, targeting, and Next Best Action / Offer (NBA/NBO) frameworks across channels.

- Design and analyse experiments (A/B, champion - challenger) to quantify impact and drive continuous improvement.

- Deliver advanced analytics (propensity, churn indicators, LTV proxies) and partner for deployment into business workflows.

- Leverage AI-first approaches to accelerate analysis, automate workflows, and embed data-driven decisioning into business processes.

- Collaborate with cross-functional teams and guide junior analysts to ensure high-quality, structured outputs and adoption of insights.

Basic Requirements:

- Bachelor's/Master's in Mathematics, Statistics, Engineering, Economics, Data Science, or other quantitative disciplines.

- 3 - 9 years of experience in analytics/decision science/business analytics (financial services preferred; customer/channel/campaign analytics exposure is a plus).

- Strong hands-on skills in SQL and Python (PySpark preferred); comfort working with large datasets on cloud/legacy environments.

- Solid understanding of measurement, experimentation, and analytical problem solving; ability to convert insights into clear business actions.

- AI-first mindset: practical experience using AI-assisted tools to improve productivity and analytics throughput, with awareness of safe/compliant usage of GenAI with enterprise data.

- Strong communication skills - ability to present structured insights and recommendations to non-technical stakeholders.

- Ability to guide junior analysts (review outputs, suggest approaches, raise quality bar) while remaining a strong individual contributor.