National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist - Retail Customer Data

Southampton
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

Data Scientist (Retail Customer Data)
Salary £45,000 to £55,000 Dependent on Experience
Location - Virtually remote working with 2 days a month self-funded into the Hampshire offices
Ref: J12892

Working within the Analytics and Data Science team, under the leadership of the Data Science Manager, the Data Scientist will work to produce complex data science models and analytical projects. You will interact with a variety of stakeholders and business functions to drive up the understanding of customers across the organisation, helping to shape the Company's future strategies, improve customer experience, deepen engagement, drive revenue, and improve business efficiencies.

Key Accountabilities / Responsibilities:

·Develop new and improve existing models of customer behaviour under the direction of the data manager within the team. Be that churn models, time series forecast models, value assessment of the customer base or other more specific and target models.
·Contribute to develop new and improve existing segmentations that can used in marketing activity and across the business, to both help target and describe customers.
·Deploy models into production so they can be consumed by other analytical teams across the business.
·Deliver complex descriptive and predictive customer behavioural analytics.
·Bring external thinking to the Company by maintaining an awareness of analytics usage in retail and other sectors and by keeping abreast of competitor technology and developments.
·Support the growth of new channels, Services, Digital, Market Place and Retail Media through the use of Next Best Offer engines and other models and segmentations.
·Build relationships with key stakeholders from across the business, with the Data Science Manager, helping to translate their ambitions and goals into data science products.

Required Skills & Experience:

·Proven experience of working with retail customer data.
·Experience in either Python or R with a strong ability to use SQL.
·You've excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application.
·Experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc is advantageous
·Understand the importance of Data Governance and good Data Quality.
·Strong attention to detail and willingness to take the time to ensure the accuracy of your work.
·Experience of using Jira/Confluence for managing workloads and documentation.
·You understand and maximise the value of analysis and data science, and act with a commercial lens, prioritising the actions and usefulness of outputs.
·You're a good storyteller who can bring that value to others - you know numbers don't always speak for themselves and have excellent visuals to support.
·You have an awareness and understanding of technology and trends in Data Science and Analytics.

Additional Requirements:

Candidates must have an existing right to live and work in the UK.

If you are seeking a new challenge for 2025 - Apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that 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 the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.