At a Glance
- Tasks: Build and scale customer-focused models that drive real commercial impact.
- Company: A large UK retail organisation transforming its data and AI capabilities.
- Benefits: Up to £48,000 salary, hybrid working, and clear progression opportunities.
- Other info: Collaborative environment with strong senior backing and innovative projects.
- Why this job: Shape a growing Data Science function and make a real difference.
- Qualifications: Strong Python and SQL skills with experience in end-to-end Data Science solutions.
The predicted salary is between 48000 - 48000 € per year.
This is an opportunity to join a growing Data Science function at a pivotal moment, with strong senior backing and a clear focus on building production-ready models that drive real commercial impact. You will play a key role in shaping how Data Science is used across customer-focused initiatives, moving beyond ad-hoc analysis into scalable, repeatable solutions.
The Company
A large UK retail organisation undergoing a significant data and AI transformation. The business is investing in building a sustainable Data Science capability to support more advanced modelling, forecasting, and personalisation.
The Role
Work hands-on alongside the Data Science Lead and another Data Scientist to build and scale customer-focused models.
Take ownership of end-to-end Data Science projects from problem definition through to deployment.
Develop and productionise models across use cases such as customer segmentation, lifetime value modelling, demand forecasting, and targeted campaigns.
Contribute to the design and evolution of a new Data Science platform and best practices.
Partner closely with Data Engineers, Analysts, and commercial stakeholders to ensure models are practical and impactful.
Your Skills and Experience
Strong commercial experience using Python for Data Science and Machine Learning.
Confident working with SQL to access and manipulate data.
Proven experience delivering end-to-end Data Science solutions, including deployment into production environments.
Ability to communicate clearly with non-technical stakeholders and explain model outputs and impact.
Exposure to cloud platforms such as GCP or Azure is beneficial, with openness to tools like Vertex AI or Azure ML.
What They Offer
Salary up to £48,000.
Hybrid working with three days per week onsite.
The chance to help shape a growing Data Science capability at an early stage.
Clear scope for progression as the function and its influence across the business continue to grow.
How to Apply
If you are a commercially minded Data Scientist looking to work on production-focused models in a collaborative environment, apply to find out more.
Data Scientist in Birkenhead employer: Harnham
Join a large UK retail organisation that is at the forefront of a significant data and AI transformation, offering a dynamic work culture where your contributions will directly influence customer-focused initiatives. With a competitive salary of up to £48,000 and the flexibility of hybrid working, you will have the opportunity to develop your skills in a supportive environment that prioritises employee growth and innovation. This role not only allows you to take ownership of impactful Data Science projects but also positions you within a team that values collaboration and continuous improvement.
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 expertise in Python, SQL, and model deployment.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts to non-technical stakeholders, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Scientist in Birkenhead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any cloud platforms you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Data Science and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's customer segmentation or demand forecasting, we want to see your hands-on experience and how you've tackled real-world problems.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built and deployed models, as this role is all about practical experience. Think of examples that showcase your ability to deliver end-to-end Data Science solutions.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare to discuss how your models have impacted business decisions and be ready to share insights on customer segmentation or demand forecasting in a way that's easy for anyone to understand.
✨Show Your Collaborative Spirit
This role involves partnering with Data Engineers and Analysts, so highlight your teamwork skills. Think of examples where you've successfully collaborated on projects, and be prepared to discuss how you can contribute to building a new Data Science platform and best practices.
✨Get Familiar with Cloud Platforms
If you have experience with GCP or Azure, make sure to mention it! If not, do a bit of research on these platforms and tools like Vertex AI or Azure ML. Showing that you're open to learning and adapting to new technologies will definitely impress them.
