At a Glance
- Tasks: Design and develop customer-focused data science solutions and take models from concept to deployment.
- Company: Established UK retail business embracing data transformation and advanced analytics.
- Benefits: Hybrid work model, strong career progression, and the chance to shape a growing Data Science function.
- Other info: Opportunity to contribute to a new Data Science platform and best practices.
- Why this job: Join a collaborative team and work on impactful projects that influence customer experiences.
- Qualifications: Experience in Data Science or Machine Learning, strong Python and SQL skills required.
The predicted salary is between 40000 - 50000 € per year.
A well-established UK retail business undergoing a significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation mode.
You will join a small but growing Data Science team, working closely with the Data Science Lead and one other Data Scientist. This is a hands-on role focused on building strong foundations and scaling existing use cases across the business.
Key responsibilities include:- Designing and developing customer-focused data science solutions across segmentation, lifetime value, forecasting and targeting
- Taking models end to end from problem definition through to deployment and monitoring
- Working with stakeholders to translate business questions into robust modelling approaches
- Partnering with engineers and analysts to productionise models and embed them into customer journeys
- Contributing to the development of a new Data Science platform and best practices as the team matures
To be successful in this role, you will bring:
- Strong commercial experience in Data Science or Machine Learning within a real-world environment
- Advanced Python skills for modelling and analysis, with solid SQL capability
- Experience delivering end-to-end data science solutions, including deployment
- Exposure to forecasting, statistical modelling or applied machine learning use cases
- Comfort working in a team that is still evolving its Data Science maturity
- Clear communication skills and the ability to build credibility with non-technical stakeholders
- Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential.
The chance to shape a growing Data Science function and influence technical direction. High-impact, customer-facing projects with clear routes into production. Strong long-term progression as the data and AI capability continues to scale.
Apply now to learn more about this Mid-Level Data Scientist opportunity and how it could fit into your next career move.
Data Scientist in Birkenhead employer: Harnham - Data & Analytics Recruitment
As a well-established UK retail business, this company offers an exciting opportunity for a Mid-Level Data Scientist to be part of a transformative journey in data analytics and machine learning. With a collaborative and delivery-focused culture, employees benefit from high-impact projects, strong career progression, and the chance to shape the future of the Data Science function. The hybrid working model allows for flexibility while being part of a growing team dedicated to embedding advanced analytics into customer experiences.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Birkenhead
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help you get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. This is your chance to demonstrate your advanced Python and SQL skills, and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’ve taken models from problem definition to deployment. Practice explaining complex concepts in simple terms for non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals to join our team, and applying directly can give you an edge. Plus, it shows you’re genuinely interested in being part of our journey.
We think you need these skills to ace Data Scientist in Birkenhead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your commercial experience in Data Science and any relevant projects you've worked on, especially those involving Python and SQL.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've taken models from problem definition to deployment, and how you've collaborated with stakeholders in the past.
Showcase Your Technical Skills:Don’t forget to mention your technical skills! If you have experience with GCP or Azure, or have used managed ML services, make sure to include that. We love seeing candidates who are up-to-date with the latest tech.
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 don’t miss out on any important updates about the process!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around machine learning and statistical modelling. Be ready to discuss how you've applied these in real-world scenarios, as the company is looking for someone who can take models from experimentation to production.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your advanced Python skills and solid SQL capabilities. You might be asked to solve a problem or analyse a dataset during the interview, so practice coding challenges that reflect the kind of work you’ll be doing in this role.
✨Communicate Clearly with Non-Technical Stakeholders
Since the role involves translating business questions into data solutions, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated technical information to non-technical team members.
✨Understand the Company’s Data Transformation Goals
Research the company's current initiatives, especially their new loyalty programme and focus on advanced analytics. Being able to discuss how your skills can contribute to these projects will show your genuine interest and alignment with their goals.
