At a Glance
- Tasks: Join a dynamic team to analyse data and build predictive models that drive business success.
- Company: 1st Central, an award-winning insurance company focused on innovation and employee satisfaction.
- Benefits: Flexible working options, competitive salary, and a supportive work environment.
- Why this job: Make a real impact with your data skills in a rapidly growing company.
- Qualifications: Experience in data science, strong analytical skills, and a degree in a quantitative field.
- Other info: Exciting career growth opportunities in a collaborative and energetic workplace.
The predicted salary is between 36000 - 60000 ÂŁ 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. The Senior Data Scientist will work closely and seamlessly with the Group’s in-house technology provider, along with data presentation/delivery teams based across multiple locations. 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:
- Analytical & Technical Expertise: Proven analytical and statistical modelling skills
- Technical Skills: Experience using Python
- Machine Learning: Ability to build and train machine learning models
- Professional Experience: Current Data Science experience, with Insurance industry exposure being advantageous but not essential
- Organisation & Time Management: Strong time-management and organisational abilities
- Education: 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.
Intrigued? Our Talent team can tell you everything you need to know about what we want and what we’re offering, so feel free to get in touch.
Senior Data Scientist in Manchester employer: First Central
Contact Detail:
First Central Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences at 1st Central and what they look for in candidates. This insider info can give you a leg up!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with Python and machine learning, make sure you can discuss your past projects confidently. We want to see your analytical prowess in action!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to tackle hypothetical scenarios related to data science challenges. We love seeing how you think on your feet and approach complex issues!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your analytical skills, technical expertise, and any relevant experience in data science or the insurance industry. We want to see how your background aligns 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 specific projects or achievements that showcase your skills.
Showcase Your Technical Skills: Since we’re all about data, make sure to highlight your technical skills prominently. Mention your experience with Python, machine learning techniques, and any data visualisation tools you’ve used. We love seeing practical examples of your work!
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
✨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 how you can apply these in real-world scenarios, so have some examples from your past work at the ready!
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your critical-thinking abilities. Think of a few business challenges you've faced and how you used data science to propose solutions. This role is all about driving meaningful outcomes, so showing that you can think on your feet will impress them.
✨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 they use, especially Python and SQL. If you have experience with data platforms or ETL processes, be sure to highlight that during your interview.
✨Be Ready for Team Collaboration
This position requires collaboration with various teams, so be prepared to discuss your experience working in a team environment. Share examples of how you’ve successfully collaborated on projects and how you handle feedback, especially when reviewing the output of junior team members.