At a Glance
- Tasks: Build and improve ML pipelines, creating data-driven automation tools.
- Company: Join a forward-thinking company focused on AI and ML solutions.
- Benefits: Earn up to £55,000 with remote-first work and career growth opportunities.
- Other info: Collaborate closely with stakeholders in a dynamic, delivery-focused team.
- Why this job: Make a real impact by solving practical problems with cutting-edge technology.
- Qualifications: 2+ years as a Data Scientist, strong Python skills, and experience with SQL.
The predicted salary is between 55000 - 55000 £ per year.
As a Data Scientist, you will have the opportunity to grow in your career and apply your experience in a meaningful way. A significant part of the role will involve applied AI and ML, which 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
- 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
Join a forward-thinking company that prioritises your professional growth and offers a remote-first working environment with monthly trips to Bristol. As a Data Scientist (AI & ML), you'll engage in meaningful projects that leverage your skills in Python and machine learning, while collaborating closely with stakeholders to deliver impactful solutions. With a competitive salary of up to £55,000 and a culture that values innovation and teamwork, this is an excellent opportunity for those looking to make a real difference in their careers.
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 fellow data scientists and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Python, ML pipelines, and AI solutions. This will give you a tangible way to demonstrate your expertise when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with stakeholders who may not have a technical background.
✨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 world of data science.
We think you need these skills to ace Data Scientist (AI & ML)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Python, SQL, and any relevant AI/ML projects. We want to see how your skills align with the role, so don’t be shy about showcasing your 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 clear and practical, just like we do at StudySmarter.
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've solved real problems using data science techniques. We love seeing how you’ve made an impact in previous roles, so share those success stories!
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 get the ball rolling on your journey with StudySmarter. Don’t miss out!
How to prepare for a job interview at Adlib
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built ML pipelines or worked with LLM solutions. The more you can demonstrate your hands-on experience, the better!
✨Speak Their Language
Since you'll be collaborating with stakeholders, practice explaining complex technical concepts in simple terms. Think about how you can communicate your past experiences in a way that highlights your problem-solving skills without getting too bogged down in jargon.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world problems using data science techniques. Focus on the impact of your work and how it contributed to decision-making or automation. This will show that you understand the role's emphasis on practical applications.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions! Inquire about the team’s current projects, challenges they face, or how they measure success. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
