At a Glance
- Tasks: Build and apply models for customer segmentation, forecasting, and personalisation.
- Company: Major UK business investing in data and analytics with a strong national presence.
- Benefits: Strong mentorship, collaborative environment, and opportunity for career growth.
- Other info: Join a fast-growing team and contribute to exciting data-driven projects.
- Why this job: Step into a true data science role and make a real impact on a major loyalty programme.
- Qualifications: 2-4 years in analytics, strong SQL, and experience with Python or R.
The predicted salary is between 40000 - 50000 £ per year.
I'm hiring a Data Scientist for a large, well‑known UK business investing heavily in its data, analytics, and AI capability. This is a brilliant opportunity for someone from an advanced analytics background who has started moving into modelling and wants to take the next step into a true data science role – working on real use cases like customer segmentation, forecasting, and personalisation.
A major UK business with a strong national presence, currently building out its data and analytics function under a new leadership team. There's a big focus on using data to drive customer strategy and commercial performance, especially with the launch of a new loyalty programme later this year – creating real demand for modelling and insight.
You’ll sit within a growing Data Science & Analytics team, reporting into the Data Science Lead and working closely with the Head of Data & Analytics.
What you'll be doing:
- Build and apply models across key retail use cases such as:
- Customer segmentation
- Customer lifetime value modelling
- Demand forecasting
- Work with stakeholders to define business problems and translate them into analytical solutions
- Develop models using Python + SQL
- Support moving models towards production (with guidance from the team)
- Contribute to the development of personalisation and loyalty analytics strategies
- Work across the full lifecycle: problem → modelling → insight → business impact
What you bring:
- 2-4 years’ experience in analytics/data roles
- Strong SQL
- Experience using Python (preferred) or R for modelling
- Experience building models (e.g. regression, segmentation, forecasting)
- Ability to break down business problems and apply analytical thinking
- Strong communication skills – able to work with non‑technical stakeholders
Nice to have:
- Exposure to loyalty programmes
- Any experience taking models toward deployment
- Strong academic background in a quantitative subject
Why this role:
- Step up into a true data science role from analytics
- Work on real, high‑impact use cases tied to a major loyalty programme launch
- Join at an early stage of the data science journey
- Strong mentorship from experienced leaders
- Opportunity to grow with the team as it scales
Working style:
- Based in Knowsley 3 days per week onsite
- Collaborative, fast‑growing team environment
Interview process:
- Initial call with Hiring Manager (CV walkthrough)
- Onsite technical interview with leadership team
If you're an analyst who's started building models and wants to properly step into data science, this is a great opportunity to do it in a supportive but impactful environment.
Data Scientist: From Advanced Analytics to Data Science in Knowsley employer: Harnham
Join a major UK business that is at the forefront of data innovation, where you will have the opportunity to transition from advanced analytics to a true data science role. With a strong focus on employee growth and mentorship, you'll work in a collaborative environment that values your contributions to impactful projects, particularly with the exciting launch of a new loyalty programme. Located in Knowsley, this role offers a unique chance to be part of a fast-growing team dedicated to driving customer strategy through data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: From Advanced Analytics to Data Science in Knowsley
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with data science professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills, especially Python and SQL, and be ready to discuss your past projects. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 3
Showcase your work! Create a portfolio of your modelling projects and analytics work. This not only demonstrates your skills but also gives you something tangible to discuss during interviews. Plus, it makes you stand out from the crowd!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application reflects your passion for data science and analytics.
We think you need these skills to ace Data Scientist: From Advanced Analytics to Data Science in Knowsley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your experience in analytics, SQL, and Python, and don’t forget to mention any relevant projects or use cases you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background in advanced analytics makes you a perfect fit for the data science journey we're embarking on.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled business problems using analytical thinking. We want to see how you can break down complex issues and translate them into actionable insights.
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 in our growing Data Science & Analytics team!
How to prepare for a job interview at Harnham
✨Know Your Models
Make sure you can talk confidently about the models you've built, especially regression, segmentation, and forecasting. Be ready to explain your thought process and how you approached each problem, as this will show your analytical thinking and technical skills.
✨Brush Up on SQL and Python
Since strong SQL experience and Python knowledge are key for this role, ensure you're comfortable discussing your coding skills. You might be asked to solve a problem on the spot, so practice writing queries and model-building code beforehand.
✨Understand the Business Context
Familiarise yourself with the company's focus on customer strategy and the upcoming loyalty programme. Think about how your analytical skills can contribute to these initiatives and be prepared to discuss how you would approach real use cases like customer segmentation.
✨Communicate Clearly
Strong communication skills are essential, especially when working with non-technical stakeholders. Practice explaining complex concepts in simple terms, and be ready to demonstrate how you can bridge the gap between data science and business needs.
