At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal s…
Data Scientist (open to Advanced Analytics backgrounds)
Skills & Technologies
Job Description
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's 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. The company 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, particularly with the launch of a new loyalty programme later this year - creating real demand for modelling and insight. Where you fit 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.
This is an early hire in the data science journey, so you'll have
Real ownership
Exposure to end-to-end projects
The opportunity to help shape how modelling is applied across the business
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 bringMust-haves
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.
Company & Role Analysis
JobSeeker+Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
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