At a Glance
- Tasks: Lead a team of data scientists to drive business optimisation through advanced analytics.
- Company: Join Kantar, the world's leading data insights and consulting company.
- Benefits: Enjoy flexible working, career progression, and a culture that values diversity and inclusion.
- Why this job: Shape the future of market research and make impactful decisions with cutting-edge technology.
- Qualifications: Expertise in data science, machine learning, and leadership skills required.
- Other info: Be part of a dynamic team that promotes continuous learning and innovation.
The predicted salary is between 43200 - 72000 £ per year.
We go beyond the obvious using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary please apply.
Job Details: We are the world's leading data insights and consulting company; we shape the brands of tomorrow by better understanding people everywhere.
About the job: As a Lead Data Scientist, you will play a pivotal role in driving excellence for business optimisation! You will harness advanced analytical techniques and machine learning expertise to extract valuable insights from complex datasets. You will embed sophisticated data science techniques inside critical applications (such as pricing yield, etc.). The selected candidate will guide a team of data scientists in collaborating with cross-functional stakeholders, identifying business opportunities, recommending data-driven strategies, and shaping key decisions. You will deliver impactful solutions, optimising processes and enhancing products. You will also promote a culture of continuous learning, empowering the team to push the boundaries of data science, catalysing growth and success for the organisation!
Job Goals:
- Collaborate with Data Engineering and other Data Science teams to launch and deliver key business optimisation projects within set timelines (examples include: Pricing Yield Forecasting, Capacity Media Optimisation, etc.).
- Engage with diverse stakeholders across departments to understand business priorities and align data science initiatives accordingly.
- Lead and mentor a team of data scientists to ensure successful completion of critical projects, meeting or exceeding expected outcomes.
- Champion the adoption of new technologies, tools and methodologies to enhance data processes and promote continuous improvement.
- Establish and maintain robust visualisation and monitoring systems to track performance metrics and alert on key changes.
- Promote best practices and compliance with Data Privacy and Data Security standards throughout all team activities.
- Document all projects comprehensively, ensuring knowledge is shared and accessible for ongoing and future work.
Ideal Skills & Capabilities:
- Advanced Analytics Mastery: Expertise in data mining, predictive modelling, forecasting, optimisation and machine learning delivering actionable insights and business optimisation solutions.
- Technical Excellence: Deep proficiency in Python, possibly R for prototyping, SQL and specialist tools such as Pandas, NumPy, Spark and Dask; hands-on experience with cloud platforms (Azure ML, AWS) and ML Ops for robust model deployment and automation. CI/CD pipelines experience is advantageous.
- Ethical and Secure Data Stewardship: Extensive knowledge of data privacy, security compliance and best practices for responsible data handling throughout the project lifecycle.
- Leadership and Delivery: Demonstrated ability to lead and mentor high-performing data science teams managing complex projects from conception to impactful delivery in commercial environments.
- Innovative Approach: Enthusiasm for exploring the latest technologies and integrating emerging best practices ensuring continuous improvement and growth for both the team and the organisation.
What we Offer: As a Lead Data Scientist, you will have the opportunity to work with a diverse and dedicated team of data scientists, data engineers and other professionals. You will be part of a team that shapes the future of panel market research and drives results for brands everywhere. You will also enjoy flexible working arrangements that support your health and wellbeing. You will have access to learning and development opportunities, mentoring and coaching, and career progression paths. You will also be part of a culture that values diversity, inclusion and innovation and encourages you to unleash your potential at Kantar.
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
Kantar is the world's leading data insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar's 30,000 people help the world's leading organisations succeed and grow.
Location: London, South Bank, Central United Kingdom.
Required Experience: Key Skills: Laboratory Experience, Immunoassays, Machine Learning, Biochemistry, Assays, Research Experience, Spectroscopy, Research & Development, cGMP, Cell Culture, Molecular Biology, Data Analysis Skills.
Employment Type: Full-Time.
Experience: years.
Vacancy: 1.
Lead Data Scientist employer: KANTAR
Contact Detail:
KANTAR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data science projects. Be ready to discuss how you've used advanced analytics to solve real-world problems—this is your chance to shine!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for opportunities at Kantar where you can truly make an impact with your skills.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data science shine through! We want to see how your passion aligns with our mission to inspire new thinking and shape the world.
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with advanced analytics, machine learning, and any leadership roles you've had. We love seeing how your skills can drive business optimisation!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to hear from you!
How to prepare for a job interview at KANTAR
✨Know Your Data Science Stuff
Make sure you brush up on your advanced analytics skills, especially in machine learning and predictive modelling. Be ready to discuss specific projects where you've used these techniques to drive business optimisation.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll be guiding a team. Prepare examples of how you've successfully led teams in the past, focusing on mentoring and delivering impactful results. Highlight your ability to collaborate with cross-functional stakeholders.
✨Familiarise Yourself with Their Tools
Get to know the tools and technologies mentioned in the job description, like Python, SQL, and cloud platforms. If you have experience with CI/CD pipelines, make sure to mention it, as it shows you're up-to-date with best practices.
✨Emphasise Continuous Learning
This role promotes a culture of continuous improvement. Be prepared to discuss how you stay current with industry trends and technologies, and share any initiatives you've taken to foster learning within your team.