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- Tasks: Design and build data science solutions using Python and machine learning techniques.
- Company: A growing, data-driven organisation with a focus on innovation.
- Benefits: Competitive salary, 80% remote work, and opportunities for professional growth.
- Other info: Collaborative culture with exposure to modern engineering practices and cloud platforms.
- Why this job: Unlock the value of data and make impactful decisions in a dynamic environment.
- Qualifications: 3-5 years in Data Science, strong Python skills, and analytical thinking.
The predicted salary is between 60000 - 60000 £ per year.
A growing, data-driven organisation is looking for a mid-level Data Scientist to help unlock the value of its data. This is a hands-on role where you’ll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights.
You’ll have the freedom to own problems end-to-end, from exploration through to deployment, while contributing to a modern, evolving data function.
What You’ll Be Doing:- Designing and building data science solutions using Python
- Exploring datasets to uncover trends, patterns, and opportunities
- Applying statistical methods and machine learning techniques to solve business challenges
- Using clustering and segmentation to enhance analysis where relevant
- Translating technical outputs into clear insights for a range of stakeholders
- Supporting the deployment, monitoring, and ongoing improvement of models
- Contributing to best practices, tooling, and ways of working within the data team
- Around 3–5 years’ experience in a Data Science or advanced analytics role
- Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn
- Experience with gradient boosting frameworks (e.g. LightGBM or similar)
- Solid grounding in statistics and machine learning concepts
- Comfortable working with structured data and SQL
- Ability to communicate insights clearly to both technical and non-technical audiences
- Experience taking models beyond experimentation into production environments
- Strong analytical thinking and problem-solving ability
- Exposure to R for analysis or experimentation
- Understanding of modern engineering practices (CI/CD, Docker, or similar)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with version control (Git) and collaborative workflows
- Experience working in Agile environments
Data Scientist in Mansfield employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Mansfield
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. 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 using Python and machine learning techniques. 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 problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate insights clearly to both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! We’ve got a range of exciting opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Scientist in Mansfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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. Be sure to mention specific experiences that relate to the job description.
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows you’re serious about joining us!
How to prepare for a job interview at Digital Waffle
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like pandas, NumPy, and scikit-learn. Be ready to discuss how you've used these tools in past projects, as they'll want to see your hands-on experience.
✨Showcase Your Analytical Skills
Prepare to talk about specific examples where you've applied statistical methods or machine learning techniques to solve real business problems. Highlight any clustering or segmentation work you've done, as this will be key for the role.
✨Communicate Like a Pro
Practice translating complex technical outputs into clear insights that non-technical stakeholders can understand. They’ll be looking for someone who can bridge the gap between data science and business needs, so think of examples where you've done this successfully.
✨Familiarise Yourself with Their Tech Stack
If you have experience with cloud platforms like AWS or Azure, or modern engineering practices like CI/CD and Docker, make sure to mention it. Even if it's not a requirement, showing familiarity with their tech stack can set you apart from other candidates.