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- Tasks: Lead machine learning projects to enhance customer engagement and develop predictive models.
- Company: Join a leading global lifestyle brand at a pivotal data journey stage.
- Benefits: Competitive salary up to £75,000, hybrid working, and referral bonuses.
- Why this job: Shape the future of data science and make a real impact on global markets.
- Qualifications: Experience in machine learning, recommendation systems, and strong Python skills required.
- Other info: Collaborative environment with opportunities for professional growth and development.
Senior Data Scientist – Customer Data
Apply now, read the job details by scrolling down Double check you have the necessary skills before sending an application.
Salary: £70,000 – £85,000 (DoE)
Location: Hybrid – 2/3 days per week in a Central London office
Job Reference: J13015
Full UK working rights required – no sponsorship available
Immediate requirement – strong leadership and senior stakeholder skills
We are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is a senior, highly autonomous position, acting as the number two to the Director of Customer Data, where you will operate at a strategic level while remaining hands-on.
This is an excellent opportunity for a senior-level data scientist who wants real ownership, influence, and visibility, and to be part of a business at a transformative point in its data maturity.
The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. You will be instrumental in helping define best practice, drive advanced analytics use cases, and influence how customer data is activated across products, CRM, and marketing.
While experience with personalisation and recommender systems would be highly desirable, it is not essential. The role is broader in scope and suited to someone who enjoys owning complex customer data problems end-to-end and shaping the direction of advanced data science initiatives.
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The Role
• Act as a senior technical and strategic lead within the Customer Data team, working closely with (and deputising for) the Director.
• Take full ownership of your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact.
• Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight.
• Contribute to the evolution and activation of the newly implemented CDP, helping the organisation realise its full value.
• Own the full machine learning lifecycle – from problem definition and model design through to deployment, monitoring, and optimisation.
• Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals.
• Partner with data engineering and platform teams to ensure scalable, robust, and production-ready solutions.
• Act as a senior stakeholder, able to clearly communicate complex concepts and influence decision-making at all levels.
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Skills & Experience
• Strong, hands-on experience in machine learning and applied data science within customer or commercial domains.
• Experience with recommender systems, personalisation, or deep learning is desirable but not essential.
• Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch.
• Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku.
• Good understanding of MLOps practices, including deployment, monitoring, and retraining pipelines.
• Proven ability to work cross-functionally with marketing, CRM, product, and engineering teams.
• Excellent communication, leadership, and stakeholder management skills.
• Experience operating in a global or multi-regional environment is a plus.
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If you would like to hear more, please do get in touch.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes. For each relevant candidate you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. xiskglj
Datatech is one of the UK\’s leading recruitment agencies in analytics and host of the critically acclaimed Women in Data event. For more information, visit (url removed)
Senior Data Scientist employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role is all about machine learning and recommendation systems, be ready to discuss your past projects and how you tackled challenges.
✨Tip Number 3
Show your passion for data science! During interviews, share your excitement about the latest trends in AI and how they can impact customer engagement. It’s all about making a connection with your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Read the Job Description Thoroughly: Before you dive into your application, take a moment to really absorb the job description. It’s packed with details about what we’re looking for, and understanding this will help you tailor your application to show us why you’re the perfect fit.
Showcase Your Skills: When writing your application, make sure to highlight your experience with machine learning and recommendation systems. We want to see how your skills align with the role, so don’t hold back on sharing relevant projects or achievements!
Be Authentic: Let your personality shine through in your application! We’re not just looking for qualifications; we want to know who you are and what drives you. Share your passion for data science and how you envision contributing to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows us that you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Datatech
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems and deep learning architectures. Be ready to discuss your experience with two-tower neural networks and embedding techniques, as these are crucial for the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you've led the development of machine learning solutions. Highlight your role in the full ML lifecycle, from model design to deployment, and be ready to share any challenges you faced and how you overcame them.
✨Collaboration is Key
Since this role involves working closely with CRM and marketing teams, think of examples that demonstrate your ability to collaborate cross-functionally. Discuss how you've aligned data science efforts with business goals in previous roles.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current data journey and how they envision the future of data science within the company. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
