At a Glance
- Tasks: Build and deploy AI and ML solutions that drive real business outcomes.
- Company: Join a dynamic data and AI team focused on practical problem-solving.
- Benefits: Competitive salary, remote-first work, and opportunities for career growth.
- Other info: Monthly travel to Bristol office for team collaboration.
- Why this job: Make a real impact with hands-on data science in a collaborative environment.
- Qualifications: 2+ years as a Data Scientist, strong Python skills, and experience with AI techniques.
The predicted salary is between 55000 - 55000 € per year.
Hands on data science with real delivery and outcomes. Build and deploy AI and ML solutions used day to day by the business. Strong technical role combining data science, Python and production systems. Remote working with required monthly travel to the Bristol office.
As a Data Scientist (AI & ML), you will work across the full data science lifecycle. You will explore data, train models, and build AI driven solutions that are deployed into production environments. The application of AI and ML within this role will mean building, experimenting and getting involved from the technical side, but then also presenting this back to stakeholders and owning business outcomes.
This Data Scientist (AI & ML) role sits within a growing data and AI team working on practical, business‑critical problems. You will design, build and deliver data science and AI solutions that move beyond experimentation and into daily use. This is not an academic or research role, and it is not a pure software engineering position; it’s a modern data science approach that’ll give you real chance to grow in your career and apply the experience in a meaningful way.
A significant part of the role will involve applied AI and ML. This may include building and improving ML pipelines, working with LLM based solutions where appropriate, and creating data driven automation or decision support tools. The focus is always on solving real problems rather than experimentation for its own sake.
You will work primarily in Python and Microsoft Fabric, using SQL where needed to access and prepare data. You will collaborate closely with stakeholders to understand requirements, shape solutions and communicate outcomes in clear, practical language.
What experience you’ll need to apply:
- Ideally 2+ years of experience working as a Data Scientist in a relevant role (or similar to above)
- A degree in Computer Science, Data Science or a closely related discipline at 2:1 or above
- Strong Python skills, with experience building and running data science or ML solutions
- Hands on exposure to machine learning and applied AI techniques
- Experience with Fabric
- Experience working with SQL and structured data
- Ability to explain technical concepts and results to non-technical audiences
What you’ll get in return for your experience:
A salary of up to £55,000 and remote-first working (monthly Bristol trips) in an environment where you can grow your career and make a real impact. You’ll gain ownership of meaningful work, exposure to varied projects, and the chance to grow in a technically strong, delivery focused team.
What's next? Apply today and we’ll arrange a call to discuss further!
Locations
Data Scientist (AI & ML) in Cheshire, Warrington employer: ADLIB Recruitment | B Corp™
Join a forward-thinking company that prioritises innovation and employee growth, offering a remote-first working environment with monthly travel to the vibrant Bristol office. As a Data Scientist (AI & ML), you'll have the opportunity to work on impactful projects, collaborate with stakeholders, and develop your skills in a supportive team that values real-world outcomes over theoretical experimentation.
Contact Detail:
ADLIB Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (AI & ML) in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and ML. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past projects, how you tackled challenges, and how you can communicate complex ideas to non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist (AI & ML) in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, Python, and AI/ML solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 conversational but professional, and make sure to mention your hands-on experience.
Showcase Your Technical Skills:Since this role is all about practical application, highlight your technical skills clearly. Mention specific tools and technologies you’ve used, like Python, SQL, and Microsoft Fabric, and give examples of how you’ve applied them in real-world scenarios.
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at ADLIB Recruitment | B Corp™
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around AI and ML techniques. Be ready to discuss your hands-on experience with Python and any projects you've worked on that involved building or deploying models.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world problems using data science. Think about specific challenges you've faced and how your solutions made a tangible impact on the business outcomes.
✨Communicate Clearly with Stakeholders
Since this role involves explaining technical concepts to non-technical audiences, practice how you would present your work. Use simple language and focus on the outcomes rather than the technical jargon.
✨Get Familiar with Microsoft Fabric and SQL
If you haven't already, take some time to learn about Microsoft Fabric and brush up on your SQL skills. Being able to discuss how you’ve used these tools in your previous roles will definitely give you an edge.
