Data Science Manager

ORMAE; Bengaluru; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

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 solution design to help win new business.

This is a hybrid technical-and-client-facing role: roughly 60-70% hands-on and delivery leadership, 30-40%

Qualifications

• 8+ years in data science / applied ML, including 2+ years leading projects or mentoring a team.
• Strong quantitative background with relevant degree.
• Expertise in regression, classification, clustering, time-series forecasting, optimization, and statistical inference.
• Hands-on with LLMs, RAG, GenAI; exposure to agentic AI is a plus.
• Proficient in Python and SQL; cloud experience (Azure/AWS); containerization (Docker/Kubernetes).
• Delivery track record: taking models from prototype to production in real environments.
• Excellent communication; able to present to non-technical stakeholders.
• Presales aptitude: scoping, solution design, and supporting business development.

Responsibilities

• Own end-to-end delivery of multiple client projects from framing to deployment.
• Architect and review data science solutions across forecasting, optimization, NLP/LLM, and agentic AI use cases.
• Lead and mentor a team of data scientists; set standards for code quality and validation.
• Ensure production-ready, scalable, well-documented solutions across client environments.
• Manage client expectations, timelines, and deliverables as the technical lead.
• Collaborate with presales to scope opportunities and shape tailored proposals.
• Contribute to proofs-of-concept, demos, and technical responses to RFPs.
• Translate business problems into deployable analytics and AI products.

Skills

Data science leadership

Applied ML

Team mentoring

Communication

Presales aptitude

Education

Statistics

Computer Science

Mathematics

Operations Research

Tools

Python

SQL

Azure

AWS

Docker

Kubernetes

Flask

FastAPI

MLflow

Databricks

Kafka

Job description

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.
• 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 strong 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 collaborative team working at the intersection of OR, ML, and GenAI.