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- Tasks: Transform data into actionable insights and drive business decisions.
- Company: Dynamic company focused on practical data science with real-world impact.
- Benefits: Up to £55,000 salary, flexible remote work, and monthly Bristol trips.
- Other info: Collaborate on high-impact projects with modern tools 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 50000 - 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 Corp™
Contact Detail:
ADLIB Recruitment | B Corp™ 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 you engage, the better your chances of landing that Applied Data Scientist role.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with Python, SQL, and any ML solutions you've worked on. This will give you an edge when discussing your practical data science experience during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your communication skills, especially how to translate complex data insights into business impact. Practice explaining your past projects and their outcomes clearly and concisely.
✨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. We love seeing enthusiasm and a clear understanding of the business context.
Showcase Your Projects: If you've worked on interesting data science projects, make sure to mention them! We’re keen to see examples of your work, especially those that had a real-world impact. Include any forecasting, classification, or optimisation projects you've tackled.
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. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at ADLIB Recruitment | B Corp™
✨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 want to see how you can turn data into actionable insights!
✨Understand the Business Impact
Since this role is all about translating data science into business outcomes, think of examples where your work has directly influenced decision-making. Be prepared to explain how your analytical skills can solve real-world problems and drive commercial success.
✨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, so highlight your teamwork skills. Share experiences where you’ve successfully collaborated on projects, and express your excitement about contributing to a team that values practical data science.