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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: Earn up to £55,000 with remote work and monthly Bristol office visits.
- Other info: Collaborate with stakeholders and tackle real-world problems in a fast-paced setting.
- Why this job: Make a tangible impact while growing your career 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 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!
Data Scientist (AI & ML) in Bristol employer: Adlib
Contact Detail:
Adlib Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (AI & ML) in Bristol
✨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 set you apart from the crowd.
✨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) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, Python, and AI/ML. 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 – we love a bit of personality!
Showcase Your Technical Skills: Since this role is hands-on, make sure to mention specific tools and technologies you’ve worked with, like Python, SQL, and Microsoft Fabric. We’re keen to know how you’ve applied these 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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Adlib
✨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 isn't just about theory; they want to see how you can deliver practical solutions.
✨Showcase Your Communication Skills
Since you'll be explaining complex concepts to non-technical stakeholders, practice how you present your work. Use clear, simple language and be prepared to give examples of how you've successfully communicated technical results in the past. This will show that you can bridge the gap between tech and business.
✨Familiarise Yourself with Their Tools
Get to know Microsoft Fabric and any other tools mentioned in the job description. If you have experience with them, be ready to discuss how you've used these tools in your previous roles. If not, do a bit of research so you can speak intelligently about them during the interview.
✨Prepare for Practical Scenarios
Expect to face some practical questions or case studies during the interview. Think about how you would approach building an ML pipeline or solving a specific business problem using AI. Practising these scenarios will help you demonstrate your hands-on experience and problem-solving skills effectively.