At a Glance
- Tasks: Build and apply models for customer segmentation, forecasting, and personalisation.
- Company: A major UK business investing in data and analytics with a strong national presence.
- Benefits: Strong mentorship, real ownership, and the chance to shape data strategies.
- Other info: Collaborative team environment with opportunities for growth.
- Why this job: Step into a true data science role and work on impactful projects.
- 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'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 is 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 bring
Must-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.
Data Scientist (open to Advanced Analytics backgrounds) in Liverpool employer: Job Search Place Limited
Join a leading UK business that is at the forefront of data and analytics innovation, offering a dynamic work culture where your contributions directly influence customer strategy and commercial success. With a strong emphasis on employee growth, you'll have the chance to take ownership of impactful projects, receive mentorship from experienced leaders, and be part of a collaborative team environment in Knowsley. This role not only provides a pathway into a true data science position but also allows you to shape the future of modelling and analytics within the company as it embarks on an exciting journey with a new loyalty programme.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (open to Advanced Analytics backgrounds) in Liverpool
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We think you need these skills to ace Data Scientist (open to Advanced Analytics backgrounds) in Liverpool
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Job Search Place Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Job Search Place Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Job Search Place Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Job Search Place Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
