Skale: 70
- Lead the design, optimisation, and evolution of yield, pricing, and matching models to improve forecasting accuracy, stability, and explainability.
- Analyse large-scale historical trading and behavioural datasets to uncover patterns, risks, and opportunities for performance improvement.
- Define data science strategy for yield optimisation, balancing innovation with robustness in live production environments.
- Encourage the use of more granular data, graduated levers, and low-risk automated decisions to enhance trading outcomes.
- Partner closely with commercial, engineering, and product leaders to embed data-driven decisioning into operational workflows.
- Guide and mentor senior and mid-level data scientists, setting high standards for analytical quality and delivery.
- Communicate complex technical findings clearly to non-technical audiences, enabling confident, actionable decisions.
- Advanced expertise in data science and statistical modelling, with strong proficiency in Python or R and applied optimization techniques.
- Demonstrated experience leading yield, pricing, or optimization use cases within large-scale marketplaces or data-rich environments.
- Strong understanding of forecasting, optimization, and decision science in discrete choice or trading contexts.
- Experience working with cloud-based data platforms and scalable analytics environments (e.g., AWS, Azure, Redshift).
- Ability to balance technical depth with leadership, encouraging collaboration, learning, and high-quality outcomes across teams.
- 25 days annual leave (increasing with tenure)
- Health cash plan
- Income protection
- Life assurance
- Enhanced employer pension contribution
- Award-winning voluntary flexible benefits covering lifestyle, health, wealth, and wellbeing
Location
Hyderabad, International Tech ParkIndiaKantar Rewards Statement
At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.
We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.
Skills Required
- Advanced expertise in data science and statistical modelling
- Proficiency in Python or R
- Experience leading yield, pricing, or optimization use cases within large-scale marketplaces
- Strong understanding of forecasting, optimization, and decision science in discrete choice or trading contexts
- Experience with cloud-based data platforms and scalable analytics environments (AWS, Azure, Redshift)
- Proven leadership and mentoring of senior and mid-level data scientists
- Ability to communicate complex technical findings clearly to non-technical audiences
What We Do
Kantar is the world’s leading marketing data and analytics company. . We have a complete, unique and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and inspire growth.
