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- 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: Competitive salary, remote-first work, and opportunities for career growth.
- Other info: Collaborate with stakeholders and enjoy varied projects in a fast-paced setting.
- Why this job: Make a tangible impact with cutting-edge technology in a supportive environment.
- Qualifications: 2+ years of data science experience and strong Python skills required.
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) employer: ADLIB Recruitment | B Corp™
Contact Detail:
ADLIB Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (AI & ML)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 data science projects, especially those involving AI and ML. This will give potential employers a taste of what you can do and how you solve real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past projects. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with 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)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your Python expertise, data science projects, and any hands-on AI/ML work you've done. We want to see how you can bring real delivery and outcomes to our team!
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 experience aligns with our needs. Don’t forget to mention your ability to communicate technical concepts clearly to stakeholders – that's a biggie for us!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building ML pipelines or creating data-driven tools, we want to see your practical experience in action. Real-world examples can really set you apart!
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. Plus, we love seeing candidates who take that extra step!
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 hands-on experience with Python and any projects you've worked on that involved building or deploying models. This role is all about practical application, so be prepared to share specific examples.
✨Communicate Clearly
Since you'll need to explain technical concepts to non-technical stakeholders, practice how you present your work. Use simple language and focus on the business outcomes of your projects. Think about how you can translate complex ideas into relatable terms that anyone can understand.
✨Show Your Problem-Solving Skills
This role is about solving real-world problems, so come prepared with examples of challenges you've faced in previous roles. Discuss how you approached these issues, the solutions you implemented, and the impact they had on the business. Highlight your ability to think critically and creatively.
✨Be Ready for Technical Questions
Expect some technical questions during the interview, especially around Python, SQL, and machine learning techniques. Brush up on your knowledge of ML pipelines and any relevant tools like Microsoft Fabric. Being able to demonstrate your technical prowess will show that you're a strong fit for the role.