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- Tasks: Join a dynamic team to tackle data modelling and predictive analysis challenges.
- Company: Exciting European car insurance tech company expanding in the UK.
- Benefits: Up to £60k salary, flexible remote work, and generous holiday allowance.
- Why this job: Work with cutting-edge tech while making a real impact in a supportive environment.
- Qualifications: Degree in Mathematics, Statistics, or Economics; Python and SQL skills required.
- Other info: Enjoy perks like yoga sessions, diverse teams, and excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Are you a bright, ambitious Data Scientist with Python and SQL skills seeking an opportunity to work on complex, Greenfield systems using the latest tech, whilst continually learning and improving? You could be progressing your career at a hugely successful European car insurance tech company as they expand their UK presence.
As a Graduate Data Scientist you will join the Pricing Engine team with a focus on data modelling and predictive analysis to provide solutions that meet business needs and develop best practises. You will be collaboratively problem solving as part of a supportive Agile team, reporting to the Head of Pricing.
Location / WFH
The company is a big advocate of flexible working and prides itself on DEI; you can work from home most of the time, meeting up with colleagues in the London office once a week.
About you
- You are degree educated in a relevant discipline e.g. Mathematics, Statistics, Economics, and have studied to MSc level at a world class university e.g. Russell Group.
- You have data modelling and predictive analysis skills.
- You have Python and SQL programming skills.
- You have strong analysis and problem solving abilities.
- You are collaborative, motivated and keen to learn.
What’s in it for you
- As a Data Scientist you will earn a competitive package.
- Up to £60k salary.
- Mainly remote working including flexible working hours (x4 days a month in London).
- Workplace nursery scheme.
- Enhanced maternity package.
- 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day".
- Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme.
- Weekly Yoga and monthly Acupuncture sessions, Headspace membership.
- Diverse, inclusive team environment with a range of support networks including Women in Technology groups.
- A range of other perks including Perkbox, cycle to work, season ticket loan.
Data Scientist Python SQL Mathematics employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Python SQL Mathematics
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. 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 modelling and predictive analysis projects. This is a great way to demonstrate your Python and SQL prowess to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practise explaining your thought process clearly, as collaboration is key in Agile teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist Python SQL Mathematics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as your experience in data modelling and predictive analysis. We want to see how your background fits with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your skills align with our needs. We love seeing enthusiasm and a genuine interest in the company and the role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We’re looking for collaborative thinkers who can contribute to our Agile team, so share any relevant experiences that demonstrate your analytical abilities.
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’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Client Server
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Prepare to talk about your experience with data modelling and predictive analysis. Think of examples where your analytical abilities led to successful outcomes, and be ready to explain your thought process in detail.
✨Emphasise Collaboration
Since the role involves working in an Agile team, highlight your collaborative experiences. Share stories that demonstrate your ability to work well with others, solve problems together, and contribute to a positive team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data science and their current projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding DEI.