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- Tasks: Develop and maintain data science solutions using Python to solve real business problems.
- Company: Join a collaborative, people-first culture in Nottingham with flexible hybrid working.
- Benefits: Enjoy 25 days holiday, a yearly bonus, and a contributory pension scheme.
- Other info: Engage with stakeholders and work on exciting side projects in a dynamic team.
- Why this job: Make an impact with award-winning ML models while growing your data science skills.
- Qualifications: 3+ years as a data scientist with strong Python and statistical knowledge.
The predicted salary is between 60000 - 60000 £ per year.
Location - Nottingham
Work pattern - Hybrid - 2 times a month in the office.
Salary - Up to £60,000
The Opportunity
We are seeking a mid-level Data Scientist with strong experience in Python for a new role in Nottingham. You will be part of a small, but close team that covers Data Science, Business Intelligence and Analytics. It is hybrid, 2 days a month in the office (so very flexible), but we are looking for someone with a sensible commute to Nottingham.
The Role
In this position you will work across a range of analytical and machine learning tasks, partnering with stakeholders to solve real business problems and support data-driven decision-making. The business has 4-6 ML models in production, one of which is award-winning. Generally these models are in the finance and risk areas - any experience of this would be a bonus, but certainly not essential. In addition, they have a number of side projects for you to get involved with, working with colleagues to deliver advanced analytics and insights. This is a perfect role for someone who can engage confidently with stakeholders, work both independently and within a small team on defined analytical problems, can clearly communicate insights, and is comfortable contributing to production-ready data science solutions.
Role Responsibilities:
- Develop, test, and maintain data science solutions using Python
- Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities
- Apply statistical and machine learning techniques to address business questions
- Use segmentation and clustering techniques where appropriate to support insight generation
- Interpret model results and communicate insights clearly to technical and non-technical audiences
- Support model validation, documentation, and ongoing monitoring
- Contribute to continuous improvement of data science standards, tools, and ways of working
Requirements:
- 3 plus years in industry as a data scientist
- Strong Python proficiency, including:
- Solid understanding of statistics and machine learning fundamentals
- Experience working with structured data and SQL
- Ability to communicate analytical findings clearly and confidently
- Experience supporting machine learning models in production environments
What We Offer:
- Collaborative, people-first culture
- Hybrid working arrangements (requirement to travel to the office 2 days per month)
- 25 days holiday + bank holidays
- Yearly bonus scheme
- Contributory Pension scheme
Data Scientist in Nottingham employer: Oscar Technology
Contact Detail:
Oscar Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Nottingham
✨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 data science projects, especially those using Python. 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 soft 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 love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it shows you're proactive and keen on the opportunity.
We think you need these skills to ace Data Scientist in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your Python skills and any relevant experience with machine learning or analytics. We want to see how your background fits with 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 any experience with finance and risk if you have it, but don't stress if you don't!
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 share what you've done and the impact it had!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Oscar Technology
✨Know Your Python Inside Out
Since the role requires strong experience in Python, make sure you brush up on your skills. Be prepared to discuss specific projects where you've used Python for data science tasks, and maybe even solve a coding challenge during the interview.
✨Showcase Your Analytical Mindset
Prepare to talk about your experience with exploratory data analysis (EDA) and how you've applied statistical and machine learning techniques in past roles. Think of examples where your insights led to real business decisions, as this will demonstrate your ability to engage with stakeholders.
✨Communicate Clearly
This position requires you to communicate insights to both technical and non-technical audiences. Practice explaining complex concepts in simple terms, and be ready to share how you've done this in previous roles. Clear communication can set you apart from other candidates.
✨Be Ready for Team Dynamics
As you'll be part of a small team, it's important to show that you can work collaboratively. Think of examples where you've successfully worked in a team setting, especially on analytical problems. Highlight your ability to contribute to discussions and support your colleagues.