Data Scientist

Kantar Group Limited; Hyderabad; On-site; INR 900,000 - 1,800,000; Full time

Benefits offered by this job

25 days leave

Health cash plan

Income protection

Life assurance

Pension top-up

Flexible benefits

Job summary

Kantar Group Limited is seeking a Data Scientist in Hyderabad to lead end-to-end data science projects for yield optimisation and collaborate with engineers to deploy scalable cloud-based models. You will build predictive models, perform statistical analyses, and translate results into actionable insights with dashboards.

The role emphasizes delivering data-driven strategies, staying current with forecasting techniques, and driving continuous improvement in a 24×7 production environment.

Qualifications

• Strong background in data science for yield or pricing optimisation.
• Experience with statistical methods and discrete‑choice forecasting.
• Ability to translate findings into dashboards and reports for non‑technical stakeholders.
• Experience with cloud-based data platforms.

Responsibilities

• Lead end-to-end data science projects for yield optimisation.
• Develop predictive models and perform statistical analyses.
• Create dashboards and reports using PowerBI and SQL.
• Collaborate with developers to implement scalable cloud solutions (AWS/Redshift/Azure).
• Maintain models and drive continuous improvement.

Skills

Statistical modeling

Python/R

Forecasting

Data analysis

Dashboarding

Cloud platforms

Tools

PowerBI

SQL

AWS

Redshift

Azure

Job description

We are a global leader in data, insights, and consulting, and we are looking for a Data Scientist to work with a team of Data Analysts, Data Scientists, Engineers, and developers to drive yield optimisation.

Job Goals

• Optimize existing yield and matching models to improve 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 more granular data, more graduated levers, and simple, low‑risk automated decisions.
• Collaborate with developers and commercial leaders to integrate data‑driven improvements 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 optimisation in 24×7×365 production by applying advanced statistical techniques and programming expertise.
• Assist commercial stakeholders in scenario planning and forecasting.

Key Responsibilities

• Lead the end‑to‑end data science projects for yield optimisation.
• Conduct statistical analysis and build predictive models.
• Translate complex statistical findings into actionable strategies and present them using PowerBI, SQL, and other tools.
• Collaborate with developers to produce scalable, cloud‑based solutions (AWS, Redshift, Azure).
• Maintain the production models and ensure continuous improvement.
• Engage with commercial stakeholders and provide data‑driven insights for scenario planning.
• Stay up‑to‑date with the latest industry approaches to forecasting and optimisation in discrete‑choice environments.

Ideal Skills & Capabilities

• Deep expertise in data‑science technologies, including statistical programming (Python, R) and data‑manipulation tools.
• Proven experience in yield or pricing optimisation within large online marketplaces or similar industries.
• Strong understanding of forecasting and optimisation techniques in discrete‑choice environments.
• Strong analytical problem‑solving skills and an iterative, agile product‑development mindset.
• Knowledge of web services and cloud platforms (AWS, Redshift, Azure) for scalable data operations.
• Ability to translate statistical results into actionable strategies and deliver impactful dashboards and reports using PowerBI and SQL.
• Excellent communication skills for presenting complex findings to non‑technical stakeholders.

What’s in it for you – Benefits

• 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 you’ll be joining

You’ll be joining our Profiles division, home to specialists in survey design, sampling and data science. With a large audience network, we provide insights to brands worldwide.

Equal Opportunity

Kantar is committed to inclusion and diversity; therefore, we welcome applications from all sections of society and do not discriminate based on age, race, religion, gender, pregnancy, sexual orientation, gender identity, disability, marital status or any other legally protected characteristics. We are an equal‑opportunity employer.