Lead Data Scientist

Hansa Cequity is one of the leading data driven, connected CX services provider in India. We provide integrated solutions in Marketing, Data Analytics, MarTech, Campaign management, Digital and Contact centre to enable our clients to acquire customers intelligently, retain and manage them profitably.

With a data driven marketing approach and strategy we help companies leverage the power of technology through propriety and best in class marketing automation and analytics platforms. Our teams glean out insights and understand our clients customers and prospects. Our campaign management and digital marketing consultants then move in to create meaningful engagements opportunities in a multi-channel environment. Our key objective is to drive measurable business growth for clients.

We stand among the top 50 analytics company in India.

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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, FMCG
etc
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 organization's 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 culture of 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 mentor Data 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 with Vector Databases, Knowledge Graphs, and LLM Fine-tuning / Prompt Engineering.
• Proven experience deploying solutions on AWS / GCP / Azure and operationalizing ML pipelines (MLOps).
• 3+ years in a senior leadership role managing cross-functional, data-driven teams.
• Ability to build and scale teams, mentor senior talent, and define operating structures.
• Strong ability to connect analytical capabilities to marketing KPIs and commercial impact.
• Excellent communication, storytelling, and stakeholder influence skills.

What Makes You a Great Fit

• 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.