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- Tasks: Develop and maintain data science solutions using Python while solving real business problems.
- Company: Join a dynamic team in Nottingham with a focus on innovation and collaboration.
- Benefits: Enjoy hybrid working, 25 days holiday, yearly bonuses, and a contributory pension scheme.
- Other info: Flexible work environment with opportunities for continuous improvement and career growth.
- Why this job: Make an impact with award-winning ML models and engage with stakeholders on exciting projects.
- Qualifications: 3+ years as a data scientist with strong Python and SQL skills.
The predicted salary is between 40000 - 50000 £ per year.
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.
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.
- 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
- 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
- Solid understanding of statistics and machine learning fundamentals
- Experience working with structured data and SQL
- Experience supporting machine learning models in production environments
Benefits:
- Hybrid working arrangements (requirement to travel to the office 2 days per month)
- 25 days holiday + bank holidays
- Yearly bonus scheme
- Contributory Pension scheme
Marketing Data Scientist in Nottingham employer: Oscar Technology
Contact Detail:
Oscar Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your Python skills and understanding machine learning concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, make sure to highlight any relevant work you've done. This is your chance to demonstrate your skills and creativity to potential employers.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Marketing Data Scientist in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Marketing Data Scientist role. Highlight your Python skills and any relevant experience in data science, especially if you've worked with machine learning models or in finance.
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 your skills can help us solve real business problems. Don't forget to mention your experience with stakeholders!
Showcase Your Projects: If you've got any side projects or contributions to open-source work, make sure to include them. We love seeing practical applications of your skills, especially in analytics and machine learning.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Oscar Technology
✨Know Your Python Inside Out
Since the role requires strong Python proficiency, make sure you brush up on your 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
This position involves exploratory data analysis and applying statistical techniques. Prepare examples of how you've identified trends or solved business problems using data. Think about how you can communicate these insights clearly to stakeholders.
✨Familiarise Yourself with Machine Learning Models
Even if you don't have direct experience in finance and risk, understanding the basics of machine learning models will be beneficial. Be ready to discuss any models you've worked with, including how you validated and monitored them in production.
✨Engage with the Team Spirit
As this role is part of a small team, demonstrating your ability to work collaboratively is key. Think of examples where you've successfully partnered with colleagues or stakeholders to deliver results. Show that you're not just a lone wolf but someone who thrives in a team environment.