Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into actionable insights and drive business decisions.
- Company: Dynamic company focused on applied data science with real-world impact.
- Benefits: Up to £55,000 salary, flexible remote work, and monthly Bristol trips.
- Other info: Collaborative environment with high-impact projects and clear ownership.
- Why this job: Make a tangible difference in business with your data science skills.
- Qualifications: Degree in Computer Science or Data Science and strong Python experience.
The predicted salary is between 55000 - 55000 £ per year.
Turning data into decisions the business can act on. Wide exposure across analytics, Machine Learning and systems application. Business-led data science with commercial impact rather than academic research. Remote role with monthly Bristol trips. Working with Python, Fabric and SQL to shape projects and support the business.
The Applied Data Scientist role focuses on delivering practical data science and analytics across a large operational environment. You will own projects end to end, from problem definition through to deployment and stakeholder communication. You'll sit close to the business, working on commercially important problems and translating insight into action. This is a strong opportunity for someone who enjoys applied analytics, systems and real-world impact, with a data science application and background!
As an Applied Data Scientist, you will analyse data, build models and deliver insight that supports better business decisions. You'll work on various projects that include forecasting, classification, optimisation or performance analysis and more. You will collaborate with engineers to ensure solutions are scalable and reliable, engage regularly with stakeholders, presenting findings clearly and helping teams understand the commercial impact of the work.
What experience you'll need to apply:
- A Computer Science, Data Science or similar degree (2:1 or above)
- Ideally a minimum of 3 years of commercial experience in a data science or ML role
- Strong Python experience in production settings
- Experience with Fabric
- Experience working with SQL and structured datasets
- Exposure to ML and LLM driven solutions
- A clear, business focused communication style
- Ability to translate data science projects into commercial outcomes and apply to a business context
What you'll get in return for your experience:
A salary of up to £55,000, depending on experience. The role is flexible and remote working, with required travel to the Bristol office once a month and occasional (but less common) London meetings (which would be paid for). You will work on high impact projects with modern tools, clear ownership and visible results.
What's next? Apply below and we'll reach out to set up a call if it's a good fit!
Applied Data Scientist employer: ADLIB Recruitment | B CorpTM
Contact Detail:
ADLIB Recruitment | B CorpTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that Applied Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python, SQL, and ML. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to translate insights into actionable business decisions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant data science projects. We want to see how your skills align with the role, so don’t be shy about showcasing your commercial impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applied data science and how you can turn insights into action. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on interesting data science projects, mention them! We’re keen to see how you’ve tackled real-world problems and delivered results. Include any metrics or outcomes that demonstrate your success.
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 from our team!
How to prepare for a job interview at ADLIB Recruitment | B CorpTM
✨Know Your Data Science Stuff
Make sure you brush up on your Python, SQL, and any experience with Fabric. Be ready to discuss specific projects where you've applied these skills, especially in a commercial context. They’ll want to see how you’ve turned data into actionable insights.
✨Understand the Business Impact
Prepare to talk about how your work has influenced business decisions in the past. Think of examples where your data analysis led to significant outcomes. This role is all about translating data science into real-world results, so show them you get that!
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to engage with stakeholders who may not have a technical background, so being able to present your findings clearly is key. Use visuals or examples to make your points more relatable.
✨Show Enthusiasm for Collaboration
This role involves working closely with engineers and other teams. Be prepared to discuss how you’ve collaborated in the past and how you approach teamwork. Highlight any experiences where you’ve successfully communicated across different departments.