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- Tasks: Lead the development of machine learning solutions for CRM personalization and enhance customer engagement.
- Company: Join a leading global lifestyle brand at a pivotal stage in their data journey.
- Benefits: Competitive salary up to £75,000, hybrid working, and exciting referral schemes.
- 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 proficiency in Python.
- Other info: Collaborative environment with opportunities for professional growth and cross-functional teamwork.
The predicted salary is between 60000 - 75000 £ per year.
Senior Data Scientist – Customer Data
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.
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 www.datatech.org.uk.
Senior Data Scientist employer: Datatech Analytics
Contact Detail:
Datatech Analytics 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 your 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 that could get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to recommendation systems. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML libraries. Practice coding challenges and be ready to explain your thought process. Remember, they want to see how you think, not just the final answer!
✨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 the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, recommendation systems, and any relevant projects that showcase your skills in Python and deep learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your experience aligns with the company's goals. Don’t forget to mention your collaborative spirit and how you can contribute to their CRM efforts.
Showcase Your Projects: If you've worked on any cool projects related to machine learning or data science, make sure to include them. Whether it's a personal project or something from a previous job, real-world examples can really make your application stand out.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Datatech Analytics
✨Know Your Models Inside Out
Make sure you can discuss your experience with machine learning models, especially recommendation systems and deep learning architectures. Be ready to explain how you've built and optimised these models in the past, and share specific examples of their impact on customer engagement.
✨Brush Up on Technical Skills
Since this role requires proficiency in Python and familiarity with ML libraries, ensure you're comfortable discussing your coding skills. Practise coding challenges or review projects where you've used libraries like TensorFlow or PyTorch, as you might be asked to demonstrate your knowledge during the interview.
✨Understand the Business Context
Research the company’s CRM strategies and how they align with their marketing goals. Being able to articulate how your data science expertise can enhance their customer engagement will show that you’re not just a techie but also understand the bigger picture.
✨Prepare for Cross-Functional Collaboration
This role involves working closely with marketing and engineering teams, so be prepared to discuss your experience in cross-functional settings. Think of examples where you've successfully collaborated with different departments to achieve a common goal, and be ready to share those stories.
