At a Glance
- Tasks: Lead a high-performing Data Science team to drive impactful analytics and machine learning.
- Company: Join a major UK retail brand transforming through data and AI.
- Benefits: Competitive salary, bonuses, hybrid work, and comprehensive benefits.
- Other info: Opportunity to influence marketing and commercial performance in a data-driven environment.
- Why this job: Shape the future of data science in a dynamic, influential leadership role.
- Qualifications: Experience in leading Data Science teams and strong machine learning skills.
The predicted salary is between 100000 - 120000 £ per year.
Salary: 100K - 120K + bonus + benefits
Location: London (Hybrid)
At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision‑making across the business.
They are looking for a Data Science Manager to lead a high‑performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience.
The Opportunity
As the Data Science Manager, you’ll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long‑term evolution of the organisation’s AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands‑on technical oversight where needed.
Skills and Experience
- Previous experience leading or managing Data Science teams in a commercial environment
- Strong background in machine learning, advanced analytics, or statistical modelling
- Strong stakeholder management skills with the ability to influence senior leadership
- Experience delivering data science products and models into production environments
If you are looking for a new challenge and want to work in a data‑driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details.
Data Science Team Lead. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys a hybrid working model, competitive salary packages, and ample opportunities for professional growth within a leading UK retail brand undergoing a transformative data journey. Join us to make a tangible impact in a role that blends technical leadership with strategic influence, all while being part of a supportive and forward-thinking environment.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Team Lead. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who might know about opportunities at companies like Data Idols. A personal referral can make all the difference in getting noticed.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and leadership experience. Be ready to discuss how you've led teams and delivered impactful data science projects. We want to see your passion for data and how you can influence commercial strategies!
✨Tip Number 3
Showcase your work! Create a portfolio of your data science projects that highlights your skills in machine learning and analytics. This will not only impress potential employers but also give them a taste of what you can bring to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Team Lead. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in leading Data Science teams and any relevant projects that showcase your skills in machine learning and advanced analytics.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've influenced commercial strategy through data science, and don’t forget to mention your leadership style!
Showcase Your Technical Skills:Since this role involves technical oversight, be sure to include any relevant tools or technologies you’ve worked with. Mention your experience with MLOps and data science delivery to show you’re up to speed with industry best practices.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and advanced analytics knowledge. Be ready to discuss specific projects you've led or contributed to, especially those that had a measurable impact. This will show that you not only understand the theory but can also apply it in a commercial setting.
✨Showcase Your Leadership Skills
As a Data Science Team Lead, you'll need to demonstrate your ability to manage and develop a team. Prepare examples of how you've successfully led teams in the past, focusing on how you foster collaboration and drive results. Highlight any mentoring or coaching experiences you've had.
✨Communicate Clearly
Since this role involves translating complex data into actionable insights, practice explaining your work in simple terms. Think about how you would present your findings to non-technical stakeholders. Clear communication is key, so be prepared to showcase your ability to make data relatable.
✨Understand the Business Context
Research the company and its industry thoroughly. Understand their commercial strategy and how data science fits into it. Be ready to discuss how you can align data science initiatives with business goals, demonstrating your strategic thinking and understanding of the retail landscape.
