Data Scientist

Kantar; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

25 days annual leave

Health cash plan

Income protection

Life assurance

Enhanced pension contribution

Job summary

Kantar is seeking a Data Scientist to join a team of analysts, scientists, engineers and developers. The role focuses on yield optimization, improving yield, forecast accuracy, and explainability while collaborating with Commercial and Data Science leaders.

You will own end-to-end data science projects—from hypothesis to production deployment—driving innovation in 24x7 production environments, and presenting findings to non-technical stakeholders.

Qualifications

• Strong experience with data science languages (Python/R) and statistics.
• Proven yield or pricing optimization experience in large online marketplaces.
• Familiarity with forecasting and optimisation techniques in discrete choice settings.

Responsibilities

• Optimize existing yield and matching models for consistency and forecasting accuracy.
• Analyze historical trading data to find patterns and opportunities.
• Develop data-driven strategies from historical data insights.

Skills

Python/R

Yield optimization

Forecasting

Agile development

Cloud platforms

PowerBI

SQL

Tools

PowerBI

SQL

AWS

Redshift

Azure

Job description

About the job

We are looking for a 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 optimisation, 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.

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) Deep expertise in statistical programming languages (Python, R), Experience in yield or pricing optimization within large online marketplaces (e.g., research, insurance, online travel, programmatic media), Understanding of forecasting and optimisation techniques in discrete choice environments, Knowledge of web services and cloud platforms (AWS, Redshift, Azure), Proficiency in PowerBI and SQL, Right to work in India (no visa sponsorship provided)