At a Glance
- Tasks: Lead a high-performing team in delivering impactful data science solutions.
- Company: Join a major UK retail brand transforming through data and AI.
- Benefits: Competitive salary, bonuses, hybrid work, and comprehensive benefits.
- Other info: Opportunity for significant career growth in a dynamic, data-driven environment.
- Why this job: Shape the future of data science while influencing commercial strategies.
- 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 Manager. 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. As a Data Science Manager in London, you will not only lead a talented team but also have access to extensive professional development opportunities, competitive salary packages, and a hybrid working model that promotes work-life balance. Join us to make a tangible impact in a major UK retail brand's data transformation journey, where your contributions will be valued and recognised.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to connections in the data science field, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts in simple terms, as you'll need to translate analytical outputs into clear recommendations for stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Data Science Manager. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Science Manager role. Highlight your experience in leading teams and delivering data science products, as this is what we’re really looking for!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've applied machine learning and advanced analytics in previous roles to make a real impact.
Be Clear and Concise:When writing your application, keep it straightforward. We want to see your achievements and how you can influence commercial strategy without wading through unnecessary fluff.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
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, the challenges you faced, and how you overcame them. This role is all about translating complex data into actionable insights, so be prepared to showcase your technical expertise.
✨Showcase Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead a team effectively. Think of examples where you've successfully managed people, developed talent, or influenced stakeholders. Highlight your experience in balancing strategic direction with hands-on technical work.
✨Understand the Business Impact
This role sits at the intersection of data science and commercial strategy, so it's crucial to understand how your work can drive business outcomes. Prepare to discuss how you've previously translated analytical outputs into commercially focused recommendations that have made a measurable impact.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data and AI transformation journey, the team dynamics, and how they measure success in this role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
