At a Glance
- Tasks: Lead a high-performing Data Science team to drive impactful analytics and machine learning solutions.
- Company: Join a major UK retail brand transforming through data and AI.
- Benefits: Competitive salary, bonuses, hybrid work, and comprehensive benefits.
- Other info: Dynamic role with significant influence and career growth opportunities.
- Why this job: Shape the future of data science while influencing commercial strategies and customer experiences.
- Qualifications: Experience in leading Data Science teams and strong machine learning skills.
The predicted salary is between 100000 - 120000 £ per year.
Data Science Manager 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 major UK retail brand at the forefront of data and AI transformation. Join us to lead a talented group of Data Scientists and make a tangible impact on commercial decision-making while benefiting from our commitment to employee development and a supportive 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 your foot in the door.
✨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 you shine!
✨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 give potential employers a clear view of what you can bring to the table.
✨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.
Showcase Your Impact:When detailing your previous roles, focus on the measurable impact you've had. Use numbers and specific examples to illustrate how your work has influenced commercial decision-making or improved processes.
Be Clear and Concise:Keep your application straightforward and to the point. Avoid jargon unless it’s relevant to the role. We want to see your skills and experience shine through without unnecessary fluff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with a major UK brand.
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 your technical prowess and how you can lead a team effectively.
✨Showcase Your Leadership Skills
Prepare examples of how you've managed teams in the past. Highlight your experience in developing team members and driving performance. This role is all about leadership, so be ready to discuss your approach to mentoring and guiding data scientists.
✨Understand the Business Context
Familiarise yourself with the retail and consumer brand's current data strategy and challenges. Being able to translate complex analytical outputs into commercially focused recommendations will set you apart. Show that you understand how data science can drive business decisions.
✨Engage with Stakeholders
Think about how you've influenced senior leadership in previous roles. Prepare to discuss your stakeholder management skills and how you've successfully communicated technical concepts to non-technical audiences. This will demonstrate your ability to bridge the gap between data science and commercial strategy.