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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 a dynamic tech environment.
- Benefits: Enjoy hybrid working, 25 days holiday, yearly bonuses, and a contributory pension scheme.
- Other info: Flexible work pattern with opportunities for continuous improvement and career growth.
- 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 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 Limited
Contact Detail:
Oscar Associates 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 or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and machine learning concepts. Be ready to discuss your past projects and how they relate to the role – real examples will make you stand out!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data science concepts in simple terms. This will help you connect with both technical and non-technical stakeholders during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
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. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Oscar Associates 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. Practising coding challenges can also help you feel more confident.
✨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. Being able to articulate your thought process will impress interviewers.
✨Communicate Like a Pro
This role involves engaging with stakeholders, so practice explaining complex concepts in simple terms. You might want to prepare a few examples of how you've communicated analytical findings to both technical and non-technical audiences in the past.
✨Familiarise Yourself with Machine Learning Models
Even if you don't have direct experience with finance and risk models, understanding the basics of machine learning techniques and their applications will be beneficial. Be ready to discuss any relevant projects and how you contributed to model validation and monitoring.