Similar Jobs
We’re the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.
Kantar’s Profiles division is home to the world’s largest audience network.
With access to 170m+ people in over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud technology, Kantar’s Profiles Audience Network delivers the most meaningful data with consistency, accuracy, and accountability – all at speed and scale.
Job Details
We are seeking candidates with experience in a data-related role, possessing a solid foundation in programming (Python and SQL) and a passion for redefining data into actionable insights. You will join our data science department and work directly with our Senior Data Scientists.
Why This Job is Important
This role is crucial for ensuring the functionality and performance of our data ecosystem. By analyzing user acquisition and retention data, you will help identify and resolve weaknesses and bugs in existing models, ultimately contributing to the improvement of our technologies.
What You’ll Be Doing
- Monitoring and Maintenance: Lead all aspects of alerts to ensure the ecosystem's functionality, working with existing models for day-to-day operations and performance.
- Data Analysis: Analyze user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution.
- Analytics and Machine Learning: Run analytics to extract statistics, patterns, and design machine learning models to improve existing technologies.
- Collaboration: Work closely with the development team, contributing to data/statistics tasks for improving user engagement. Collaborate with various stakeholders to formulate pertinent questions and provide actionable insights.
- Data Transformation: Employ ETL tools like DBT to transform data, making it more accessible to the broader business. Use time series graphing services such as Grafana to create visualizations, monitor trends, and identify patterns.
The Ideal Skills & Experience
- Experience with data-related technologies, including database queries, programming, data mining/wrangling, analysis, and reporting.
- Strong proficiency in SQL, with the ability to read, write, and query effectively.
- A keen curiosity about data, statistics, machine learning, and data science.
- Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis.
- Experience with statistical computer languages such as Python, Scala, R, MATLAB.
- Knowledge of statistical techniques and concepts, including regression, properties of distributions, statistical tests, and proper usage.
- Experience using web services and languages, including AWS, EC2, S3, Redshift, DigitalOcean, etc.
- Meticulous, with a good work ethic and the ability to collaborate across different teams.
- Experience in Excel and Power BI is a plus.
What’s In It For You
- 25 days annual leave (increasing with tenure)
- Private medical health cash plan
- Income protection
- Life assurance
- Enhanced employer pension contribution
- Award-winning voluntary flexible benefits (lifestyle, health, wealth, wellbeing)
Why Join Kantar?
You’ll be joining our technology team, right in the middle of our tech revolution. We’re undergoing the largest technology transformation Kantar has ever seen, investing in new AI and cloud technologies. By modernizing all our tech systems, we can respond to our clients' needs faster and more efficiently – and keep Kantar as a market leader for insights.
About Kantar
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 if we combine the expertise of our people with the latest AI technology, we can really help brands discover some amazing insights.
We prioritize equality of opportunity for everyone and support our colleagues to work in a way that works for them. 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 with us.
Please note: We are not able to offer visa sponsorship or assist with relocation support for this role. Please ensure you have the right to work in the country where this role is located before applying.
#LI-Hybrid #LI-CR1
Country
United Kingdom
Why join Kantar?
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.
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
