At a Glance
- Tasks: Analyse data, build predictive models, and develop machine learning algorithms to drive business outcomes.
- Company: Join 1st Central, a leading insurance company known for its innovative use of data and technology.
- Benefits: Enjoy flexible working patterns, a supportive culture, and recognition as Insurance Employer of the Year.
- Other info: Collaborative team atmosphere with opportunities for professional growth and development.
- Why this job: Make a real impact by uncovering value from extensive data assets in a dynamic environment.
- Qualifications: Degree in Data Science or related field; experience with Python and machine learning preferred.
The predicted salary is between 43200 - 72000 £ per year.
We are 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. And that’s the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too!
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. Recognising the dependencies Group companies have on in‑house technology, 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
- 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
What We Offer
People first. Always. We’re passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so that’s what we offer. Our workplaces are energetic, inspirational and supportive.
Senior Data Scientist in Manchester employer: 1st Central
At 1st Central, we pride ourselves on fostering a supportive and dynamic work environment where our employees can thrive. Located in the vibrant Salford Quays, Manchester, we offer a hybrid working model that promotes work-life balance while providing ample opportunities for professional development and growth. Join us to be part of a team that values innovation, collaboration, and making a meaningful impact in the insurance industry.
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 at 1st Central on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Scientist role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, machine learning, and data analysis techniques. We want to see your passion for data!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss specific examples of how you've tackled complex data challenges in the past. This is your chance to shine!
✨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 being part of the 1st Central team.
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 reflects the skills and experiences that match the Senior Data Scientist role. Highlight your analytical expertise, machine learning experience, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our mission at 1st Central. Be sure to mention any specific projects or achievements that demonstrate your capabilities.
Showcase Your Technical Skills:Since this role requires strong technical skills, make sure to list your proficiency in Python, machine learning techniques, and any data analysis tools you’ve used. We love seeing practical examples of how you've applied these skills in real-world scenarios!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. 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 awesome team!
How to prepare for a job interview at 1st 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 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 research the tools and platforms they use. If you have experience with Python, SQL, or any relevant data science toolkits, be ready to discuss how you’ve used them in previous roles.
✨Emphasise Team Collaboration
This position requires working both independently and as part of a team. Prepare to share experiences where you collaborated with others to deliver data science solutions. Highlight your communication skills and how you’ve contributed to a positive team environment.