Decision Scientist

About Angel One:

Angel One is one of India's fastest growing fin-techs, on a bold mission to make investing simple, smart, and inclusive for every Indian. With over 3+ crore clients, we're building at scale – and building for impact.

Our Super App helps clients manage their investments, trade seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science.

We're a builder's company at heart. You'll have the space to experiment, the freedom to move with velocity, and the mandate to make bold, user-first decisions – every single day.

The vibe Think less hierarchy, more momentum. Everyone has a seat at the table and a shot to build something that lasts.

Be part of a team that's scaling sustainably, thinking big, and building for the next billion.

Why You'll Love Working at Angel One!

• Tech Systems that run at Scale: From AI to real-time data infra, you'll work on tech that's ahead of the curve and solve problems that truly matter.
• Build one of India's Leading Fintech Platform: We're not just disrupting finance – we're shaping how billion Indians access wealth.
• Own It. Drive It. Scale It: You'll have the freedom to lead, the resources to build, and the opportunity to leave your mark.
• Empowered Growth: We invest in your growth and empower you to explore your full potential.
• Exceptional Benefits: Our comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more.

Role: Decision Scientist

Location: Bangalore (Hybrid)

We are hiring a Decision Scientist in Analytics to drive product and business decisions through data. This role combines strong product understanding, data science depth, and experimentation expertise to identify growth opportunities, improve user outcomes, and infl uence strategy with evidence-backed recommendations.

Key Responsibilities

• Partner with Product, Engineering, Marketing, and Leadership teams to solve high-impact business problems.
• Define success metrics, build analytical frameworks, and translate ambiguous questions into measurable hypotheses.
• Design, execute, and interpret A/B tests and experiments; communicate outcomes and recommendations clearly.
• Lead deep-dive analyses on user behavior, funnel performance, retention, and monetization.
• Build predictive models and decision-support tools for prioritization and opportunity sizing.
• Deliver actionable insights through dashboards, narratives, and executive-ready presentations.
• Improve experimentation and measurement standards across teams.

Required Qualifications

• 4+ years of experience in Decision Science, Product Analytics, Data Science, or related analytical roles.
• Strong understanding of product analytics and product decision-making.
• Hands-on expertise in statistics, hypothesis testing, causal inference basics, and experimental design.
• Proven experience running and analyzing A/B tests end-to-end.
• Strong SQL and Python (or R) skills for data manipulation, analysis, and modeling.
• Good knowledge of AI and Machine Learning, including predictive analytics and model interpretation.
• Experience applying ML methods for business use cases such as cross-sell propensity and outcome prediction.
• Ability to simplify complex analysis into clear business recommendations.

Preferred Qualifications

• Experience with advanced ML models such as XGBoost, gradient boosting methods, andensemble techniques.
• Experience building or operationalizing predictive models in product or growth environments.
• Familiarity with BI and analytics tools (e.g., Tableau, Power BI, Looker, or similar).
• Exposure to cloud data platforms and modern data stacks.
• Experience working in fast-paced product-led organizations.

Core Skills

• Product analytics and metric design
• A/B testing and experimentation strategy
• Predictive modeling and opportunity forecasting
• Segmentation, cohort analysis, and funnel diagnostics
• Data storytelling and stakeholder infl uence
• Business judgment and decision framing
• Success in This Role (First 6-12 Months)
• Increase experimentation quality and velocity across teams.
• Improve confi dence and speed of product decisions using data.
• Deliver measurable impact through predictive and prescriptive insights.
• Establish robust, scalable analytical best practices.

At Angel One, our thriving culture is rooted in Diversity, Equity, and Inclusion (DEI).

As an Equal opportunity employer, we wholeheartedly welcome people from all backgrounds irrespective of caste, religion, gender, marital status, sexuality, disability, class or age to be part of our team. We believe that everyone's unique experiences and viewpoints make us stronger together. Come and be a part of #OneSpace*, where your individuality is celebrated and embraced.