Head of Data Science

OVERVIEW OF THE ROLE

We are seeking a seasoned data science leader to head our Data Science Squad at the Flutter India Hub in Hyderabad.

This role is ideal for a professional with deep experience in model building, stakeholder engagement, and delivery leadership. The Head of Data Science Squad will lead a team working across Flutters global brands, delivering impactful machine learning and predictive modeling solutions that power real-world business decisions.

KEY RESPOBSIBILITIES

• Lead and inspire a cross-functional Data Science Squad, ensuring high-quality delivery of end-to-end solutions across product, marketing, and operations domains.
• Set the long-term strategic vision for the Data Science squad, aligning with broader business goals of Flutter Functions and Brands that the team works with
• Display entrepreneurial traits by partnering with stakeholders to identify new AI/ML opportunities across the businesses, build the project pipeline, define business problems, and design data science solutions aligned to brand and flutter function priorities.
• Manage full model lifecyclefrom data exploration and feature engineering to model training, validation, deployment, and performance monitoring.
• Role-model cross-functional leadership, partnering closely with Product, Tech, and Business counterparts
• Represent the Data Science squad in executive forums, contributing to center-wide governance, prioritization, and stakeholder engagement.
• Establish a culture of storytelling, impact, and continuous improvement across the team Mentor and grow team members while fostering a culture of experimentation and innovation

IDEAL CANDIDATE PROFILE?

• 10+ years of experience in the data space, including hands-on exposure to data science, model development, and stakeholder delivery.
• Demonstrated experience working on B2C-focused models such as customer segmentation, recommender systems, marketing attribution, churn prediction, or personalization.
• Deep understanding of ML techniques, their practical applications, and limitations. Strong experience with modern data science languages and tools, including: Languages: Python (preferred), SQL Libraries/Frameworks: scikit-learn, XGBoost, LightGBM, pandas, NumPy, PySpark Statistical foundation: Weights & Biases, A/B testing frameworks Platforms: Databricks, AWS (S3, SageMaker), GCP (BigQuery, Vertex AI) Visualization: Tableau, PowerBI STRATEGY & TRANSFORMATION Customer Applications Vendor Mgmt. & Delivery Data & Analytics Change Management Workforce Management
• Understanding of data engineering principles and experience working with large-scale structured and unstructured data is preferred.
• Proven ability to engage and influence stakeholders through effective storytelling and excellent communication skills. Experience in driving alignment and delivering impact in matrixed or global organizations.
• Exposure to product-led or consumer technology companies is strongly preferred.
• Deep understanding of ML Techniques, their practical applications, and limitations"?