Vice President – Data Science

About the RoleWe are seeking a visionary and accomplished Vice President – Data Science & AI/ML to lead our advanced analytics and artificial intelligence division. The successful candidate will play a pivotal leadership role in shaping strategic direction, defining applied AI capabilities, and leading cross-functional teams to deliver state-of-the-art data-driven solutions.This position demands a leader with deep Fintech (proprietary trading) or MarTech (advertising technology) experience, a robust technical background, and strong business acumen to translate complex analytical concepts into high-impact commercial solutions. The individual will be hands-on, capable of driving delivery excellence, while simultaneously nurturing a team of data scientists, ML engineers, and AI researchers towards innovation and performance.The ideal candidate should have prior experience in designing and deploying AI Agents, Agentic AI systems, Retrieval-Augmented Generation (RAG) pipelines, and other next-generation intelligent automation frameworks that blend data science with human-like decision-making.This is both a strategic and operational role, suited to a candidate who thrives at the intersection of leadership, technical depth, and applied innovation.Key ResponsibilitiesLeadership & StrategyDefine and execute the firm’s strategic roadmap for Data Science, AI, and ML innovation, aligning with Fintech and MarTech priorities.Lead a cross-functional team of Data Scientists, ML Engineers, and Quantitative Researchers.Provide mentorship and hands-on technical support to the team, actively engaging in problem-solving and design discussions.Drive thought leadership in emerging areas such as Agentic AI frameworks, RAG pipelines, Generative AI, and predictive analytics for trading and marketing systems.Technical ExcellenceArchitect and supervise end-to-end machine learning and AI agent pipelines covering data acquisition, knowledge retrieval, feature engineering, model training, deployment, and continuous monitoring.Oversee the design, testing, and optimisation of quantitative trading models, real-time forecasting systems, and AI-driven advertising intelligence frameworks.Ensure production-grade standards for accuracy, reliability, and performance within real-time environments.Evaluate and deploy AI Agent frameworks integrating reasoning, memory, and orchestration capabilities across distributed systems.Client Engagement & DeliveryServe as the senior client partner for AI-led initiatives, ensuring exceptional delivery standards and measurable business outcomes.Translate complex analytical findings into strategic insights and actionable recommendations for executive stakeholders.Engage directly with Fintech, Prop Trading, and MarTech clients to tailor advanced AI solutions aligned with business objectives.Promote excellence in client communication, documentation, and executive reporting.Innovation & ResearchFoster a culture of continuous experimentation and applied research, focusing on the intersection of Generative AI, multi-agent systems, and quantitative analytics.Lead internal R&D efforts around Agentic AI, autonomous decision systems, and adaptive learning environments.Build partnerships with academia, AI research groups, and cloud providers to keep the organisation at the forefront of innovation.Required QualificationsTechnical CompetenciesExpert-level proficiency in Python and leading ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, XGBoost).Strong command of SQL and big data processing using AWS Redshift, GCP Big Query, or equivalent frameworks.Deep understanding of AI Agent architectures, RAG pipelines, LLM fine-tuning, and vector database integration.Proven experience with MLOps, cloud computing (AWS, GCP, Azure), and model governance.Hands-on expertise in deploying and operationalising AI/ML models in production—preferably within financial systems, trading infrastructure, or MarTech environments.Experience Requirements15+ years of progressive experience in data science, ML, or AI leadership.Proven experience in Fintech (Prop Trading) and/or MarTech (AdTech / Campaign Optimisation) projects.Demonstrated success in quantitative modelling, algorithmic trading, or AI-driven marketing automation.Experience leading distributed, multi-disciplinary teams and managing multi-million-dollar analytics programmes.Strong ability to work in fast-paced, client-driven environments while maintaining delivery excellence.Preferred Domain ExpertiseFintech (Prop Trading) / MarTech (Advertising Technology)Quantitative strategy formulation, model backtesting, and simulationAI Agents, RAG, and autonomous orchestration systemsPredictive modelling for trading, liquidity, and marketing conversion analyticsDeep learning and reinforcement learning for optimisationRisk analytics and financial performance attribution using ML techniquesSoft Skills & Leadership CompetenciesStrong verbal and written communication skills suitable for both technical and executive discussions.Strategic thinking with a strong business acumen and quantitative mindset.Exceptional leadership, mentoring, and interpersonal capabilities.Demonstrated ability to lead innovation and resolve challenges under pressure.Commitment to ethical AI, data governance, and regulatory compliance.Work Location & Engagement TermsPreferred Location: Kolkata (Hybrid mode available).Monthly visits to Kolkata HQ required for 7 -10 days .We are looking & giving preference to Candidates with a maximum notice period of 15 days.Why Join UsLead one of the most innovative AI and Data Science divisions in the Fintech and MarTech sectors.Collaborate with global trading, analytics, and advertising intelligence clients.Shape the next generation of AI-powered financial and marketing ecosystems.Work in a culture that values innovation, autonomy, and measurable impact.