Jobs
My ads
My job alerts
Sign in
Find a job Career Tips Companies
Find

Data scientist (open to advanced analytics backgrounds)

Harnham - Data & Analytics Recruitment
Data scientist
Posted: 17h ago
Offer 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:
o Customer segmentation
o Customer lifetime value modelling
o 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.

Apply
Create E-mail Alert
Job alert activated
Saved
Save
Similar job
Data scientist
Liverpool (Merseyside)
Carpenters Group
Data scientist
€50,000 a year
Similar job
Data scientist (liverpool/london) - insurance
Liverpool (Merseyside)
Arthur Recruitment
Data scientist
€60,000 a year
Similar job
Data scientist
Harnham - Data & Analytics Recruitment
Data scientist
See more jobs
Similar jobs
jobs Merseyside
jobs England
Home > Jobs > It jobs > Data scientist jobs > Data scientist jobs in Merseyside > Data Scientist (open to Advanced Analytics backgrounds)

About Jobijoba

  • Career Advice
  • Company Reviews

Search for jobs

  • Jobs by Job Title
  • Jobs by Industry
  • Jobs by Company
  • Jobs by Location
  • Jobs by Keywords

Contact / Partnership

  • Contact
  • Publish your job offers on Jobijoba

Legal notice - Terms of Service - Privacy Policy - Manage my cookies - Accessibility: Not compliant

© 2026 Jobijoba - All Rights Reserved

Apply
Create E-mail Alert
Job alert activated
Saved
Save