Data Scientist

Job Description

Job Description – Data Scientist
Location: Noida / Surat (Head Office)
Company: Jainam Broking Limited
Reporting To: CBO / President
Experience Required: 4–5 years in a similar Data Science / Analytics role
Role Overview
Jainam Broking is seeking an experienced Data Scientist who can analyze customer data deeply,
identify opportunities and challenges across the customer lifecycle, and provide insights that reduce
cost, grow business, and strengthen customer engagement.
This role directly supports strategic decision-making by the CBO/President, including building
customer future profitability models and enabling data-driven business planning.
Key Responsibilities
1. Customer Data Analysis & Insights
• Analyze customer, trading, and lifecycle data to identify behavioral patterns and business
opportunities.
• Highlight key challenges across acquisition, activation, retention, and revenue funnels.
• Build and maintain customer segmentation for targeted engagement strategies.
• Present insights to leadership that directly influence business decisions.
2. Predictive Modelling & Probability Frameworks
• Develop models to estimate:
– Customer future profitability
– Trading probability and future potential
– Churn probability and reactivation likelihood
• Build forecasting models for revenue, trading volume, and customer engagement.
3. Cost Optimization & Business Impact
• Identify cost leakages across marketing, onboarding, and servicing journeys.
• Recommend strategies to reduce CAC, communication cost, and operational inefficiencies.
• Provide data-backed inputs to improve platform usage and trading activity.
4. Reporting, Dashboards & Data Governance
• Build business dashboards on Power BI / Tableau / Python for real-time monitoring.
• Ensure accuracy, consistency, and hygiene of customer and trading datasets.
• Create monthly and quarterly reports for senior leadership.
5. Collaboration With Product, Marketing & Business Teams
• Partner with product teams to support new feature evaluations and journey optimization.
• Work with marketing to measure performance and improve ROI.
• Collaborate with sales and business leaders for targeted customer programs.
Required Skills & Qualifications
Technical Skills
• Proficiency in Python or R, SQL, and machine learning techniques.
• Experience in predictive modelling, clustering, forecasting, regression & classification.
• Hands-on experience with Power BI/Tableau.
• Ability to work with large, multi-source datasets.
Business Skills
• Understanding of customer lifecycle and financial/fintech/broking domains (preferred).
• Ability to convert data insights into practical business actions.
• Excellent communication and leadership presentation skills.
Experience
• Minimum 4–5 years of experience in Data Science / Business Analytics.
• BFSI / Broking / Fintech preferred.
Key Personal Attributes
• Strong analytical mindset.
• High ownership and attention to detail.
• Ability to work closely with senior leadership.
• Structured thinker with strong business acumen.
Success Measures
• Increased customer activation & trading engagement
• Improved customer lifetime value & profitability
• Reduced cost of acquisition and servicing
• Higher efficiency in business and marketing decisions
• Accurate, timely insights delivered to CBO/President