At a Glance
- Tasks: Join a team of data scientists to develop innovative data services and solve business challenges.
- Company: 1st Central, an award-winning insurance company with a people-first culture.
- Benefits: Flexible working patterns, competitive salary, and a supportive work environment.
- Why this job: Make a real impact using data science in a rapidly growing company.
- Qualifications: Degree in Data Science or related field; experience in data analysis and machine learning.
- Other info: Opportunities for career growth and a dynamic, collaborative workplace.
The predicted salary is between 36000 - 60000 £ per year.
We’re 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. We’re looking for a Senior Data Scientist to join a team of data scientists and specialists focused on delivering a portfolio of innovative services that uncover and create value from the company’s extensive information assets.
In this role, you’ll work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. You’ll work with large and diverse datasets from multiple sources, spanning both structured and unstructured formats. Using strong critical-thinking and problem-solving skills, you’ll analyse and interpret data, build predictive models, and develop machine learning algorithms that generate actionable insights. You’ll propose solutions to business challenges and collaborate with other teams to implement them.
This is a flexible hybrid role, with occasional visits to our offices in Salford Quays (Manchester) or Haywards Heath (West Sussex) when required. For those based further afield, we also welcome applications from remote UK based‑workers. We offer excellent flexibility in working patterns and a company‑wide culture you can be proud to be part of.
Core skills we’re looking for to succeed in the role:
- Proven analytical and statistical modelling skills
- Experience using Python
- Ability to build and train machine learning models
- Current Data Science experience, with Insurance industry exposure being advantageous but not essential
- Strong time-management and organisational abilities
- Degree in Data Science or another quantitative field
What’s involved:
- You’ll scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems
- You’ll perform data analysis and data collection processes that effectively support these services
- You’ll continuously develop data sources through testing of external data
- You’ll work individually and with team members, other teams and suppliers to deliver data science solutions
- Review output of junior team members
- You’ll help to identify opportunities across the organisation where data science can add value
- You’ll adhere to good coding practices, work within existing risk controls, identify and report potential risks
- You’ll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times
- You’ll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times
Experience & knowledge:
- Proven experience in data science and data analysis
- Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis
- Knowledge of data platforms, and data processing including batch and real-time automation
- Knowledge of data structures and schemas, data preparation and cleansing
- Experience of machine learning techniques and libraries
- Knowledge of data science toolkits and languages, such as R, Python, Scala
- Experience of data exploration and visualisation tools
- Good knowledge of data query languages, such as SQL, HiveQL, scripting
- Knowledge of data integration services and ETL
- Analytical and problem-solving aptitude
- Understanding of a service-based approach to professional services
- Experience delivering through Agile change framework
Skills & Qualifications:
- Good communication skills, both verbal and written
- Good time management and organisation skills
- Proven analytical and statistical modelling skills
- Degree in Data Science or other quantitative field
Behaviours:
- Self-motivated and enthusiastic with the desire to meet or exceed targets
- Determined and passionate, particularly regarding data and technology
- A decision maker with an ability to work on own initiative or as part of a team
- A flexible approach and positive attitude
- Strives to drive business improvements contributing to the success of the business
- An organised and proactive approach
If you’ve worked in Data Science, and have experience in the insurance industry or with Databricks, both a bonus but not essential — why not apply today? This is just the beginning. Imagine where you could go next. The journey is yours to shape.
What can we do for you?
People first. Always. We’re passionate about our colleagues and know the best people deserve an extraordinary working environment. Our workplaces are energetic, inspirational, supportive.
Senior Data Scientist in Haywards Heath employer: First Central Services UK Ltd
Contact Detail:
First Central Services UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Haywards Heath
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use GitHub or a personal website to highlight your work with Python, machine learning models, and any cool analytics you've done.
✨Tip Number 3
Prepare for the interview! Brush up on your technical skills and be ready to discuss your problem-solving approach. Practice common data science interview questions and think about how you can apply your experience to their business challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our awesome team at 1st Central!
We think you need these skills to ace Senior Data Scientist in Haywards Heath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your analytical and technical expertise, especially your experience with Python and machine learning. We want to see how your skills align 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. Don’t forget to mention any relevant experience in the insurance industry if you have it!
Showcase Your Projects: If you’ve worked on any interesting data science projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share those predictive models or machine learning algorithms you’ve developed!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our Talent team!
How to prepare for a job interview at First Central Services UK Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your analytical and statistical modelling skills. Be ready to discuss specific techniques like GLMs, decision trees, and machine learning algorithms. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to applying these methods.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you used critical thinking to derive actionable insights from large datasets. This will demonstrate your ability to propose solutions to business problems effectively.
✨Familiarise Yourself with Their Tech Stack
Since this role involves working closely with in-house technology, it’s a good idea to familiarise yourself with the tools and platforms they use, such as Python and SQL. If you have experience with Databricks or similar data processing tools, make sure to highlight that during your interview.
✨Be Ready for Collaboration
This position requires working both independently and as part of a team. Prepare to discuss how you’ve successfully collaborated with others in previous roles. Highlight your communication skills and your ability to work seamlessly with different teams to deliver data science solutions.