Kantar

1 day ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Use data science to optimize yield and matching models, improving consistency, forecasting accuracy, and explainability. Analyze historical trading data to uncover patterns and build actionable strategies, then automate low-risk decisions into operational workflows. Own the end-to-end lifecycle of data science projects—from hypothesis generation to production deployment—while partnering with commercial and data science leaders and presenting insights to non-technical stakeholders.

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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 from statistical analyses and insights drawn from historical datasets.
•Integrate data-driven decisioning improvements into operational workflows in collaboration with developers and commercial leaders.
•Own the full lifecycle of data science projects, from hypothesis generation through production deployment and continuous improvement.

Pay and Benefits

Perks:Health InsuranceIncome ProtectionLife AssurancePension ContributionAnnual LeaveFlexible Benefits

Key Requirements

•Deep expertise in data science technologies, including Python and R, advanced statistical techniques, and data manipulation.
•Proven experience optimizing yield or pricing in 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 such as AWS, Redshift, and Azure for scalable data operations and integration.
•Ability to translate complex statistical findings into actionable strategies using tools like PowerBI and SQL.

Experience:Data scienceYield optimizationPricing optimizationOnline marketplacesForecastingCloud computing

Skills:Problem-solvingAgileIterative product developmentCommunicationCollaboration

Tech Stack:PythonRAWSRedshiftAzurePowerBISQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Kantar

Global data, insights and consulting company providing market research, analytics, and strategic advisory services to help brands, media companies and organizations understand consumer behavior and drive business growth.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Funding: Private Equity Backed

Headquarters: London, United Kingdom

Founded: 1993

Glassdoor: 3.6

Website LinkedIn

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Kantar

1 day ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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 from statistical analyses and insights drawn from historical datasets.
•Integrate data-driven decisioning improvements into operational workflows in collaboration with developers and commercial leaders.
•Own the full lifecycle of data science projects, from hypothesis generation through production deployment and continuous improvement.

Pay and Benefits

Perks:Health InsuranceIncome ProtectionLife AssurancePension ContributionAnnual LeaveFlexible Benefits

Key Requirements

•Deep expertise in data science technologies, including Python and R, advanced statistical techniques, and data manipulation.
•Proven experience optimizing yield or pricing in 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 such as AWS, Redshift, and Azure for scalable data operations and integration.
•Ability to translate complex statistical findings into actionable strategies using tools like PowerBI and SQL.

Experience:Data scienceYield optimizationPricing optimizationOnline marketplacesForecastingCloud computing

Skills:Problem-solvingAgileIterative product developmentCommunicationCollaboration

Tech Stack:PythonRAWSRedshiftAzurePowerBISQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Kantar

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Funding: Private Equity Backed

Headquarters: London, United Kingdom

Founded: 1993

Glassdoor: 3.6

Website LinkedIn