Senior Data Scientist

Job description

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please apply... Job Details Job Title: Senior Data Scientist Location: Hyderabad Skale: 60 We’re the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere. About the job We are looking for a Senior Data Scientist who will work with a team of expert Data Analysts/Scientists/Engineers and a team of expert and dedicated developers. The key focus of this role is yield optimization, using data science to improve yield, consistency, forecast accuracy, and explainability. There is significant potential for the right person to make a real difference in this area and work directly with both Commercial and Data Science leaders! Job Goals • Optimize existing yield and matching models to improve their consistency, performance and forecasting accuracy. • Analyze historical trading data to identify patterns and opportunities for enhanced consistency and efficiency. • Develop actionable strategies based on statistical analyses and insights from historical datasets. • Show how the current trading performance can be enhanced with use of more granular data, more graduated levers, and how simple, low risk decisions can be automated. • Collaborate with developers and commercial leaders to integrate data-driven improvements in decisioning into operational workflows. • Present technical findings effectively to non-technical stakeholders, ensuring clarity and actionable understanding. • Own the end-to-end lifecycle of data science projects, from hypothesis generation to production deployment and ongoing continuous improvement. • Drive innovation within yield optimization in 24x7x365 production by applying advanced statistical techniques and programming expertise. • Assist Commercial stakeholders in scenario planning and forecasting Ideal Skills & Capabilities • Deep expertise in data science technologies, including statistical programming languages (Python, R), advanced statistical techniques, and data manipulation tools. • Proven experience in yield or pricing optimization within large online marketplaces, such as research, insurance, online travel, programmatic media, or similar industries. • Understanding of forecasting and optimisation techniques in discrete choice environments. • Strong problem-solving skills with a focus on agile and iterative product development, enabling innovative solutions to complex data challenges. • Knowledge of web services and cloud platforms (e.g., AWS, Redshift, Azure) for scalable data operation and integration. • Ability to translate complex statistical findings into actionable strategies, leveraging tools like PowerBI and SQL for impactful presentations to cross-functional teams. Python | SQL | Machine Learning | Predictive Modeling | Statistical Analysis | Forecasting | Data Visualization | Data Wrangling | A/B Testing | Feature Engineering | Model Deployment | Cloud (AWS/Azure) | Big Data | Optimization (Pricing/Yield) | Business Insights | Stakeholder Communication We’re not able to offer visa sponsorship or help with relocation support for this role. Please make sure you’ve got the right to work in the country where this role is located before applying. What’s in it for you! • 25 days annual leave (increasing with tenure) • Health cash plan • Income protection • Life assurance • Enhanced employer pension contribution • Award-winning voluntary flexible benefits (lifestyle, health, wealth, wellbeing) What part of Kantar might I be joining? You’ll be joining our Profiles division, home to specialists in survey design, sampling and data science. With the world’s largest audience network (over 170 million people), we’re trusted by many of the worlds leading brands to provide amazing insights from real people. Why join Kantar? We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And