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For Companies At a Glance
- Tasks: Transform data into actionable insights and develop innovative AI solutions.
- Company: Join North Scout, a forward-thinking tech company with a collaborative vibe.
- Benefits: Enjoy a competitive salary, bonus, remote work, and a solid benefits package.
- Why this job: Make a real impact by shaping data-driven decisions in a dynamic environment.
- Qualifications: Experience in Data Science, strong Python skills, and a degree in a quantitative field.
- Other info: Work remotely from anywhere in the UK with opportunities for growth and ownership.
The predicted salary is between 39000 - 78000 £ per year.
We’re looking for an experienced Data Scientist who’s comfortable rolling their sleeves up and delivering work that genuinely makes a difference. This is a hands‑on role where you’ll take projects from initial idea right through to deployment, helping the business make better, faster and more informed decisions. You’ll be part of a growing data function with the freedom to shape how things are done, while working on a healthy mix of analytical, modelling and emerging AI projects.
What You’ll Be Working On
- Understanding problems, shaping requirements and turning them into practical data solutions.
- Preparing and engineering large datasets to support modelling and analysis.
- Building and validating models across areas such as classification, regression and NLP.
- Deploying and maintaining your work in a modern cloud environment (Azure / Databricks).
- Presenting insights clearly to both technical and non-technical colleagues.
- Working with other teams to bring data science outputs into everyday reporting and decision-making.
- Developing new tools and applications using the latest techniques, including LLM‑based solutions.
- Contributing to good coding practices, documentation and knowledge‑sharing across the team.
- Keeping an eye on new developments in the field and knowing when they’re worth applying.
What You Need to Bring
- A track record of delivering Data Science or Machine Learning solutions.
- Strong Python skills (or R) and experience with commonly used libraries.
- Solid SQL and experience working with cloud data platforms (Azure preferred).
- Experience deploying models or pipelines using Databricks (or similar).
- A good grounding in core DS/ML techniques and the ability to turn data into meaningful insight.
- Experience working with LLMs or similar modern approaches.
- Confidence working with stakeholders and explaining technical ideas in plain English.
- The ability to manage your own workload and deliver from start to finish.
- A degree in a quantitative subject (MSc/PhD is a bonus).
Ways of Working
This role is open to candidates anywhere in the UK, with remote working supported. The team is collaborative, practical and keen to keep standards high without over‑engineering things. You’ll have plenty of ownership, support when you need it, and the chance to help shape how the data function grows.
Data Scientist employer: North Scout
Contact Detail:
North Scout Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving Python, SQL, and machine learning. 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 knowledge and practising common data science questions. Be ready to explain your thought process clearly, as communication is key in this role!
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your Python, SQL, and cloud platform experience, and don’t forget to mention any hands-on projects you've worked on!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Share specific examples of your past work that align with the responsibilities listed in the job description.
Showcase Your Projects: If you've got a portfolio or GitHub with your data science projects, make sure to include it! We love seeing practical applications of your skills, especially if they involve model deployment or innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at North Scout
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your past projects, especially those involving Python, SQL, and cloud platforms like Azure. Prepare to explain how you approached problems and the impact of your solutions.
✨Showcase Your Problem-Solving Skills
During the interview, focus on your ability to understand and shape requirements into practical data solutions. Think of examples where you've taken a project from idea to deployment, and be prepared to discuss the challenges you faced and how you overcame them.
✨Communicate Clearly
Since you'll need to present insights to both technical and non-technical colleagues, practice explaining complex concepts in simple terms. Use relatable examples to demonstrate your understanding and ensure that everyone is on the same page.
✨Stay Current with Trends
Keep an eye on the latest developments in data science and AI. Be ready to discuss any new techniques or tools you've been exploring, especially LLMs. Showing that you're proactive about learning can really impress your interviewers.
