HYDERABAD · FULLTIME
Data Scientist
Kantar
Hyderabad · onsite · Posted 41d ago
Sourced from
Undisclosed1–5 yrsfulltimeHyderabad
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.7s
- Found the form on Naukri · 8 questions to answer1.1s
- Decided the answers for all of them2.9s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Job Summary
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 Details Job Title: Data Scientist
Location: Hyderabad, India
Scale: 50
Responsibilities - 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
- 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.
Were not able to offer visa sponsorship or help with relocation support for this role. Please make sure youve got the right to work in the country where this role is located before applying.
Sourced from naukri
Section · 02
Skills
AgileATScloud platformsdata manipulationamazon web servicesdata scientistProgrammingapplicant tracking systemdeploymentmental healthProduction DeploymentcloudLegalProduct DevelopmentMicrosoft AzureData ScienceArtificial IntelligenceForecasting
Section · Company
About Kantar
Kantar
Analytics & KPO
6.5k+
employees
2008
18 years old
London, London
United Kingdom (UK)
About
Kantar is the world's leading data, insights, and consulting company. They help clients understand people and inspire growth, and our innovative approach to market research.
Industries
Analytics & KPOConsultingMedia & Entertainment / Publishing
Employee ratings
1,381 reviews
3.5/ 5
Culture
3.4
Career growth
2.8
Work-life
3.3
Employees rate it well for
Work Life Balance268Salary181Work Culture156Learning108Senior Management107
Find them on