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 focused on smart data and technology.
- Benefits: Flexible hybrid working, competitive salary, and a supportive work environment.
- Why this job: Make a real impact with data science in a dynamic and growing industry.
- Qualifications: Degree in Data Science or related field; experience in data analysis and machine learning.
- Other info: Opportunities for career growth and a culture that values its people.
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
- 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
- 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
- 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
- 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.
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 Manchester 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 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 a Senior Data Scientist. This insider info can give you a leg up during interviews.
✨Tip Number 2
Prepare for the technical interview by brushing up on your Python skills and machine learning techniques. Be ready to discuss your past projects and how you've used data to solve real business problems. Show us your analytical prowess!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! Communication and teamwork are key in our collaborative environment. Share examples of how you've worked with others to deliver successful data science solutions.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at 1st Central. Let’s get you started on this exciting journey!
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 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 smoother process. It’s the best way to ensure your application gets into the right hands. Plus, you’ll get to explore more about us and what we offer!
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 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 will show them that you can not only analyse data but also turn insights into actionable outcomes.
✨Familiarise Yourself with Their Tech Stack
Since they’re looking for someone who can work with Python and various data platforms, make sure you’re comfortable discussing your experience with these tools. If you’ve worked with Databricks or similar technologies, highlight that experience during the interview.
✨Be Ready for Team Collaboration Questions
They value teamwork, so expect questions about how you’ve collaborated with others in the past. Think of examples where you worked with cross-functional teams to deliver data science solutions. This will show that you can seamlessly integrate into their existing teams and contribute effectively.