Senior Data Scientist

Overview

Senior Data Scientist role at Kantar. Join to apply for this position.

About The Job

As a Senior Data Scientist, you will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation’s ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes.

You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely with cross-functional teams to integrate data solutions into broader business strategies. Embedded within a dynamic Data Science team, you will contribute technical expertise and foster innovation and knowledge-sharing, making you an integral part of the company's success. This role offers the opportunity to make a tangible difference and leave a lasting impact on the organisation’s growth!

Job Goals

• 
  
• Design and implement advanced machine learning models to solve complex business problems.
  
• Optimise the performance of existing models and address weaknesses through detailed analysis.
  
• Collaborate with cross-functional teams to integrate analytics solutions into business operations.
  
• Analyse large datasets to uncover patterns, trends, and insights that drive strategic decisions.
  
• Assist API integrations to ensure seamless functionality and data flow between systems.
  
• Communicate technical findings effectively to stakeholders through visualisations and clear reports.
  
• Establish and monitor key performance indicators to measure the impact of data-driven initiatives.
  

Ideal Skills & Capabilities

• 
  
• Proficiency in a programming language such as Python, with experience in using Git for version control.
  
• Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server.
  
• Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs).
  
• Hands-on experience with cloud platforms such as AWS or Azure.
  

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 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.

Country

United Kingdom

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 by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together.

We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.

Details

• 
  
• Seniority level: Mid-Senior level
  
• Employment type: Full-time
  
• Job function: Engineering and Information Technology
  
• Industries: Market Research
  

#J-18808-Ljbffr