Hiring Head Data Scientist - Mumbai

Hansa Cequity is one of the leading data-driven, connected CX services providers in India. We offer integrated solutions in Marketing, Data Analytics, MarTech, Campaign Management, Digital, and Contact Center services to help clients acquire, engage, and retain customers profitably.

By combining data-driven marketing strategy with cutting-edge technology, we empower brands to understand their customers deeply and build meaningful, multichannel engagement. Our goal is to deliver measurable business growth using best-in-class tools, platforms, and insights.

We are recognized among the Top 50 Analytics Companies in India.

To learn more, visit: www.hansacequity.com

LinkedIn: Hansa Cequity

We are seeking an experienced and visionary Lead to manage a high-performing data team at the intersection of marketing, intelligence, and emerging AI. This role will define the strategic roadmap for Advanced Analytics, Machine Learning, and next-generation Generative AI / LLM solutions across BFSI, Retail, Pharma, and FMCG sectors.

The candidate has strong hands-on foundations in Data Science and AI, and has since moved into a strategic leadership role focusing on capability building, solution design, client advisory, and scaling intelligent marketing ecosystems.

Key Responsibilities

Strategic Leadership

• Define and drive the organizations Data Science + GenAI + LLM strategy aligned with business and client growth goals.
• Champion adoption of modern AI capabilities such as LLM fine-tuning, RAG pipelines, prompt orchestration, and AI agent workflows.
• Cultivate a cultureof innovation, experimentation, and responsible AI across the data organization.

Client & Stakeholder Management

• Act as the senior AI advisor for key clients, shaping solutions that address real business challenges.
• Translate complex data and AI opportunities into clear business narratives and marketing strategies.
• Drive engagement and trust with C-suite stakeholders across strategy, growth, and digital initiatives.

People & Team Management

• Lead and mentorData Scientists, ML Engineers, Data Engineers, Analysts, and GenAI Specialists.
• Drive hiring, capability expansion, knowledge sharing, and structured skill development initiatives.
• Establish scalable collaboration models across data, tech, and marketing teams.

Solutioning & Delivery Oversight

• Oversee design and deployment of ML models, GenAI applications (chatbots, copilots, summarization engines, content automation), customer intelligence platforms, and prediction frameworks.
• Lead implementation of RAG pipelines, enterprise LLM integration, embeddings-based search, and multi-agent workflow automation.
• Ensure adherence to data governance, security standards, ethical AI, and regulatory compliance.

Desired Skills & Experience

Educational Background:

Master's / PhD in Computer Science, Data Science, Statistics, Engineering, or related fields.

Core Expertise:

• Hands-on background in ML, Predictive Modeling, NLP, and GenAI/LLM architectures (GPT, LLaMA, Claude, Mistral, etc.)
• Experience withVector Databases, Knowledge Graphs, and LLM Fine-tuning / Prompt Engineering.
• Proven experience deploying solutions on AWS / GCP / Azure and operationalizing ML pipelines (MLOps).

Leadership:

• 3+ years in a seniorleadership role managing cross-functional, data-driven teams.
• Ability to build and scale teams, mentor senior talent, and define operating structures.

Business Acumen:

• Strong ability to connect analytical capabilities to marketing KPIs and commercial impact.
• Excellent communication, storytelling, and stakeholder influence skills.

What Youll Bring

• A unique blend of technical depth and business strategy.
• Passion to build, scale, and institutionalize GenAI and data capabilities.
• Courage to experiment and drive innovation in a rapidly evolving AI ecosystem.
• A leadership style rooted in clarity, collaboration, and growth mindset.