Data Scientist Python SQL Mathematics

Data Scientist Python SQL Mathematics

Full-Time 45000 - 60000 £ / year (est.) Working from home possible
Client Server Ltd.

At a Glance

  • Tasks: Join a dynamic team to tackle complex data modelling and predictive analysis challenges.
  • Company: Exciting European car insurance tech company expanding in the UK.
  • Benefits: Earn up to £60k, enjoy remote work, flexible hours, and wellness perks.
  • Other info: Inclusive culture with diverse support networks and excellent career development opportunities.
  • Why this job: Make an impact with cutting-edge tech while growing your career in a supportive environment.
  • Qualifications: Degree in Mathematics, Statistics, or Economics; skills in Python and SQL required.

The predicted salary is between 45000 - 60000 £ 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'll 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're 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're 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)
  • 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

We are an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Data Scientist Python SQL Mathematics employer: Client Server Ltd.

Join a forward-thinking European car insurance tech company as a Data Scientist in London, where you'll thrive in a flexible and inclusive work environment that champions diversity and employee well-being. With a competitive salary of up to £60k, generous benefits including enhanced maternity leave, 25 days holiday, and wellness initiatives like yoga and acupuncture, this role offers not just a job, but a pathway for continuous learning and career progression within a supportive Agile team. Embrace the opportunity to work on innovative projects while enjoying the balance of remote work and collaborative office days.

Client Server Ltd.

Contact Details:

Client Server Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist Python SQL Mathematics

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We think you need these skills to ace Data Scientist Python SQL Mathematics

SQL
Python
Communication Skills
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Client Server Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Client Server Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Client Server Ltd.

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Client Server Ltd.!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.