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: Competitive salary, flexible remote work, and monthly Bristol trips.
- Other info: Collaborative environment with opportunities for high-impact projects.
- 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, Microsoft 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 Microsoft 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
As an Applied Data Scientist at our company, you will thrive in a dynamic and supportive work culture that prioritises innovation and collaboration. With flexible remote working arrangements and monthly trips to our vibrant Bristol office, you'll enjoy a perfect blend of autonomy and team engagement while working on impactful projects that drive real business outcomes. We are committed to your professional growth, offering opportunities to develop your skills with cutting-edge technologies and make a tangible difference in the organisation.
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. 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 that had a real-world impact. This will help you stand out and demonstrate your ability to translate data into actionable insights.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Focus on how you've used Python, SQL, and ML in past roles to solve business problems. Remember, it’s all about showing your commercial impact!
✨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 candidates who are genuinely excited about making a difference in the business with their data skills.
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 get the ball rolling. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Adlib
✨Know Your Data Science Stuff
Make sure you brush up on your Python, SQL, and Microsoft Fabric skills. Be ready to discuss specific projects where you've applied these tools to solve real business problems. They’ll want to see how you can turn data into actionable insights!
✨Understand the Business Impact
Prepare to talk about how your work has directly influenced business decisions in the past. Think of examples where your data analysis led to significant outcomes. This role is all about commercial impact, so show them you get that!
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You’ll need to engage with stakeholders who may not have a technical background, so being able to translate your findings into clear, actionable recommendations is key.
✨Show Enthusiasm for Collaboration
This role involves working closely with engineers and other teams. Be prepared to discuss how you’ve successfully collaborated in the past and how you approach teamwork. Highlight any experiences where you’ve helped bridge the gap between technical and non-technical teams.
