At a Glance
- Tasks: Build and deploy AI and ML solutions that drive real business outcomes.
- Company: Join a dynamic team focused on practical data science applications.
- Benefits: Earn up to £55,000 with remote work and monthly Bristol office visits.
- Other info: Collaborate closely with stakeholders and tackle real-world problems.
- Why this job: Make a real impact while growing your career in a cutting-edge tech environment.
- Qualifications: 2+ years as a Data Scientist, strong Python skills, and experience with AI/ML.
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.
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 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!
Data Scientist (AI & ML) in Nottingham employer: ADLIB Recruitment | B Corp™
As a Data Scientist (AI & ML) with us, you'll thrive in a dynamic and supportive remote-first environment that prioritises your professional growth and meaningful contributions. With monthly opportunities to collaborate in our Bristol office, you will engage in impactful projects that leverage cutting-edge AI and ML technologies, ensuring your work directly influences business outcomes. Join a forward-thinking team where your skills are valued, and your career can flourish.
Contact Detail:
ADLIB Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (AI & ML) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and ML projects. Use GitHub or a personal website to display your work. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of data science. Be ready to discuss how your work can solve real problems and drive outcomes for the company.
✨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 hearing from passionate candidates who are eager to make an impact in the data science world.
We think you need these skills to ace Data Scientist (AI & ML) in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist (AI & ML) role. Highlight your hands-on experience with Python, machine learning, and any relevant projects you've worked on. We want to see how you can deliver real outcomes!
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 your background aligns with our needs. Don’t forget to mention your experience in building AI solutions and how you’ve communicated technical concepts to non-technical folks.
Showcase Your Projects:If you've worked on any interesting data science or AI projects, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to solve real business problems using AI and ML.
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 to join 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. Be ready to discuss your past projects, the models you've built, and how you've applied Python in real-world scenarios. This role is all about practical application, so be prepared to showcase your hands-on experience.
✨Communicate Clearly
Since you'll need to explain complex technical concepts to non-technical stakeholders, practice simplifying your explanations. Use clear, practical language when discussing your work. Think about how you can convey your ideas effectively without jargon, as this will show your ability to bridge the gap between tech and business.
✨Show Your Problem-Solving Skills
Prepare to discuss specific problems you've solved using data science techniques. Highlight your approach to building and deploying solutions that have had a tangible impact on the business. This will demonstrate your ability to think critically and apply your skills to real-world challenges.
✨Be Ready for Technical Questions
Expect some technical questions related to Python, SQL, and machine learning techniques. Brush up on your knowledge of ML pipelines and any relevant tools like Microsoft Fabric. Being able to answer these questions confidently will show that you're not just familiar with the theory but also capable of applying it in practice.
