Data Science Manager

ORMAE · Bangalore, India · Full-time · Data Science / AI Consulting ABOUT THE ROLE

ORMAE is an AI, Optimization, and Machine Learning consulting firm delivering high-impact data science solutions across pharma, FMCG, healthcare, aerospace, manufacturing, e-commerce, and hospitality. We are looking for a Data Science Manager who can lead the technical delivery of client engagements end-to-end while actively supporting presales and solutioning to help win new business.

This is a hybrid technical-and-client-facing role: roughly 60-70% hands-on and delivery leadership, 30-40% presales, solution design, and stakeholder engagement. The ideal candidate is a strong data scientist who can architect solutions, guide a team, and translate business problems into deployable analytics and AI products. KEY RESPONSIBILITIES

Technical Delivery & Leadership

Own the end-to-end delivery of multiple concurrent client projects — from problem framing and data strategy through modeling, deployment, and handover.

Architect and review data science solutions across forecasting, optimization, recommendation, predictive maintenance, NLP/LLM, and agentic AI use cases.

Lead, mentor, and technically guide a team of data scientists; set standards for code quality, model validation, and reproducibility.

Ensure solutions are production-ready — scalable, well-documented, and deployable in diverse client environments.

Manage client expectations, timelines, and deliverables, acting as the primary technical point of contact for engagements. Presales & Solutioning

Partner with the business development and presales teams to scope opportunities, understand client needs, and shape tailored solution proposals.

Contribute to proposals, solution architectures, effort estimates, and technical responses to RFPs.

Design and present proofs-of-concept, demos, and solution walkthroughs to prospective clients.

Translate ambiguous business problems into clear, feasible analytics/AI approaches that map to measurable client value. Innovation & Capability Building





Contribute to reusable accelerators, frameworks, and IP that speed up delivery and strengthen ORMAE's solution offerings.

Stay current with advances in ML, GenAI, agentic systems, and optimization, and bring relevant techniques into client work.

REQUIRED SKILLS & EXPERIENCE

Experience: 8+ years in data science / applied ML, including 2+ years leading projects or mentoring a team.

Education: Strong quantitative background — degree in Statistics, Computer Science, Mathematics, Operations Research, or a related field.

Core ML/Stats: Regression, classification, clustering, time-series forecasting, optimization, and statistical inference, with sound grasp of model validation.

Modern AI: Hands-on experience with LLMs, RAG, and GenAI; exposure to agentic AI / MCP-based orchestration is a robust plus.

Engineering: Proficient in Python and SQL;

experience with cloud (Azure/AWS), containerization (Docker/Kubernetes), and deployment frameworks (Flask/FastAPI, MLflow).

Delivery: Track record of taking models from prototype to production in real client or business environments.

Communication: Excellent written and verbal communication; able to present technical concepts to non-technical business stakeholders.

Presales aptitude: Comfort in client-facing settings — scoping, solutioning, and supporting business development. GOOD TO HAVE

Prior experience in a consulting or client-services environment with multiple concurrent engagements.

Domain exposure to one or more of: pharma, FMCG, healthcare, aerospace, manufacturing, e-commerce, or hospitality.

Experience contributing to proposals, RFPs, or productized accelerators.

Familiarity with BI/visualization (Power BI) and big-data tooling (PySpark, Databricks, Kafka). WHAT WE OFFER

High-ownership role with direct exposure to diverse industries and cutting-edge AI problems.

Opportunity to lead delivery and shape solutions from presales through production.

A cooperative team working at the intersection of OR, ML, and GenAI.

To apply, please share your CV and a brief note on a data science project you led end-to-end.

📌 Data Science Manager (Bengaluru)
🏢 ORMAE
📍 Bengaluru