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- Tasks: Develop and maintain data science solutions using Python to solve real business problems.
- Company: Join a collaborative team in a people-first culture based in Nottingham.
- Benefits: Enjoy hybrid working, 25 days holiday, yearly bonuses, and a contributory pension scheme.
- Other info: Engage with stakeholders and contribute to innovative data science projects.
- Why this job: Make an impact with advanced analytics and machine learning in a flexible work environment.
- Qualifications: 3+ years as a data scientist with strong Python and statistical skills.
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 have 4-6 ML models in production, one of which is an 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 Associates (UK) Limited
Contact Detail:
Oscar Associates (UK) Limited 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 current employees at the company on LinkedIn or attend industry meetups. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and machine learning concepts. We want to show off our expertise, so practice explaining complex ideas in simple terms – it’ll impress both technical and non-technical folks!
✨Tip Number 3
Showcase your projects! Bring along examples of your work, especially any ML models you've developed. We can discuss how they solved real problems, which will highlight our practical experience.
✨Tip Number 4
Don’t forget to ask questions during the interview! Inquire about the team’s current projects or challenges. This shows our genuine interest and helps us figure out if the role is the right fit for us.
We think you need these skills to ace Data Scientist in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python 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 achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this Data Scientist position and how you can contribute to our team. Keep it conversational and genuine – we love personality!
Showcase Your Communication Skills: Since you'll be engaging with stakeholders, it's crucial to demonstrate your ability to communicate complex insights clearly. Use examples in your application that show how you've done this in the past.
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 ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Oscar Associates (UK) Limited
✨Know Your Python Inside Out
Since the role requires strong Python proficiency, make sure you brush up on your coding skills. Be prepared to discuss specific projects where you've used Python for data analysis or machine learning, 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). Think of examples where you've identified trends or patterns that led to actionable insights. This will demonstrate your ability to tackle real business problems effectively.
✨Communicate Like a Pro
You’ll need to engage with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Use examples from your past work to illustrate how you’ve successfully communicated insights to different audiences.
✨Be Ready for Machine Learning Discussions
Even if you don’t have direct experience in finance and risk, be prepared to discuss your understanding of machine learning models. Familiarise yourself with common techniques and be ready to explain how you would approach model validation and monitoring.