Data Scientist - Predictive Intelligence & Decision Modelling
Company:
Infinite Potential Digital Marketing Pvt. Ltd. (IPDM)
Location:
Bengaluru
Experience:
3-10 years
Compensation:
?24,00,000 - ?40,00,000 per year (Fixed + Performance Bonus)
ESOP:
Eligible after 18-24 months
Job Type:
Full-Time
About IPDM
Infinite Potential Digital Marketing Pvt. Ltd. (IPDM) is a next-generation consulting and transformation company that integrates:
Strategic Advisory (MBB-style structured problem-solving)
AI-Augmented Intelligence and Custom GPT Systems
Predictive Modelling and Research Intelligence
Digital Infrastructure and Automation
Brand Architecture and Content Systems
Low-Cost, High-Volume Lead Generation Engines
Sales Acceleration Frameworks
PMO/TMO Execution Governance
Our mission is to build Integrated Business Growth Engines that help companies grow predictably and profitably through strategy, analytics, AI, and digital systems.
We work with clients across manufacturing, technology, healthcare, FMCG, BFSI, SaaS, retail, real estate, hospitality, education, logistics, energy, and several other industries.
IPDM is designed for professionals who want to build analytical models that influence real business decisions, not dashboards that sit unused.
Role Overview
The Data Scientist will design predictive models, analytical frameworks, forecasting systems, and decision-support engines that help CEOs and leadership teams understand their business, plan for the future, and make faster, more informed decisions.
This is a high-impact, cross-functional, client-facing role that works directly with strategy teams, AI teams, digital systems, PMO, and sales. The position is structured to be self-sustaining, meaning your work contributes directly to value creation, deal influence, and revenue expansion for IPDM.
Key Responsibilities
1. Predictive Modelling and Forecasting
Build forecasting models for revenue, demand, churn, and customer behaviour.
Create pricing, elasticity, and unit-economics models.
Develop market sizing models (TAM/SAM/SOM) and economic simulations.
2. Research-Driven Statistical Analysis
Convert Tier-A research from institutions such as Harvard, MIT, McKinsey, BCG, OECD, and IMF into practical business models.
Build competitive, economic, and market scenario simulations.
Apply statistical reasoning to real-world problems with clarity.
3. Decision Intelligence and AI-Integrated Modelling
Collaborate with the AI Architect to build decision engines, opportunity scoring systems, risk maps, sensitivity models, and automated insight layers.
Integrate analytical models inside AI systems, dashboards, and GPT agents.
4. Commercial and Revenue Impact
This is not a sales role, but your analytical work must support IPDM's commercial engine.
You will:
Join client and pre-sales meetings as the analytics expert.
Build rapid models, insights, and point-of-views for proposals.
Influence deal conversion by demonstrating clear analytical value.
Support expansion of ongoing client engagements by identifying new analytical opportunities.
You will be eligible for commercial influence bonuses tied to your measurable contribution to deal wins and project expansions.
5. Prompt Engineering for Analytical Agents
Create structured prompts for models embedded in GPT-based systems.
Design multi-step reasoning prompts for analytics workflows.
Build prompts aligned with retrieval systems used for research automation.
6. Data Preparation and Pipeline Support
(You are not expected to perform full-scale data engineering, but should be competent in basic data workflows.)
Clean, structure, and transform raw data.
Assist in simple ETL scripts and data validation processes.
Prepare datasets for model deployment.
7. Client Interaction and Delivery Ownership
Present analytical insights to senior leadership and CXOs.
Build dashboards and automated reporting frameworks.
Participate in quarterly business reviews and strategy workshops.
Translate complex analysis into clear, practical recommendations.
8. Execution Governance Support
Work with the PMO/TMO team to:
Develop KPI frameworks.
Build measurement models.
Track progress and refine strategies based on analytical insights.
Required Qualifications
Education (Preferred)
Candidates from top quantitative and analytical programs are preferred, including:
IITs, NITs, BITS
IISc, ISI
Strong global universities
Programs in Mathematics, Statistics, Economics, Computer Science, Engineering, Data Science, Econometrics, or Quantitative Finance
Exceptional candidates without these degrees but with strong portfolios will be considered.
Technical Skills
Strong background in statistics, probability, and analytical modelling
Proficiency in Python (pandas, numpy, scikit-learn, statsmodels)
Experience with regression, classification, clustering, and time-series modelling
Familiarity with LLM-assisted workflows and analytical GPT agents
Ability to build effective visualizations using PowerBI, Tableau, or Python tools
Professional Skills
Structured problem-solving
Strong communication and storytelling skills
Ability to translate data into business insights
Comfort working across strategy, AI, digital, and sales teams
High ownership and maturity
Signing Bonus: For exceptional candidates
ESOP Eligibility: After 18-24 months of proven performance
Compensation is benchmarked to attract top-tier data scientists and ensure the role is value-generating, not cost-generating.
Why Work at IPDM
Build analytical systems used by CEOs and CXOs in real decisions.
Work across industries with high exposure and complexity.
Collaborate with strategy consultants, AI architects, PMO teams, and sales leaders.
Create intellectual property that becomes part of IPDM's core offering.
Enjoy high autonomy, high ownership, and significant career growth.
Help define the future of predictive intelligence inside a fast-growing, integrated consulting firm.
How to Apply
Email: careers@ipdm.co.in
Website: www.ipdm.co.in
Please share your resume, GitHub/portfolio, and any relevant notebooks or case studies.
Job Types: Full-time, Permanent
Pay: ?2,400,000.00 - ?4,000,000.00 per year
Work Location: In person
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