At a Glance
- Tasks: Lead a team to solve complex business problems using advanced analytics and predictive modelling.
- Company: Join a collaborative company that inspires progress and innovation.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Other info: Opportunity to mentor a growing team and establish best practices in analytics.
- Why this job: Make a real impact by enabling possibilities through data-driven insights.
- Qualifications: Experience in advanced analytics, especially in the insurance industry, with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.
Job Responsibilities
- Work closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.
- Collaborate in cross-functional teams and share ideas to solve complex business problems.
- Build strong partnerships with peers across the organization to support project goals and broader team needs.
- Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches.
- Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive business decisions.
- Discover, explore and analyse internal and external datasets for the purpose of developing advanced analytics models.
- Help establish best practices and repeatable processes for the Strategic Analytics team.
- Provide thought leadership on new, innovative techniques, approaches and software.
- Guide, support, mentor and develop the growing team of predictive modelers and data scientists.
Desired Skills/Experience
- Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining.
- Data manipulation and analytical skills in languages such as Python and SQL.
- Knowledge of modern visualization tools such as PowerBI is a plus.
- Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.
- Effective task/project management and general organization skills.
- Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization.
- Exceptional teamwork skills required to play a key role in cross-functional teams.
- Ability to collaborate and build trusting relationships with business partners.
- Natural curiosity to understand the world around you and question as needed.
- Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.
- Ability to apply critical thinking and creative problem-solving skills.
Required Skills/Experience
- Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.
- Experience working in an analytical role within a London Market insurance environment is a significant advantage.
- Hands-on experience developing and deploying real-time predictive models in the London Market.
- Experience delivering business value from small or non-standard data sets.
Education
- Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics.
Data Science Manager in London employer: Arch Insurance (UK) Limited
At Arch Europe Insurance Services Ltd, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to reach their full potential. As a Data Science Manager, you will not only lead a talented team in developing cutting-edge analytics solutions but also benefit from extensive professional growth opportunities within the dynamic London Market insurance environment. Join us to be part of a forward-thinking organisation that values your contributions and encourages continuous learning.
Contact Details:
Arch Insurance (UK) Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those in the insurance sector. Attend meetups or webinars related to data science and analytics to meet potential employers and learn about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytics projects. Use platforms like GitHub to share your code and visualisations, making it easy for hiring managers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business problems faced by companies in the insurance industry. Be ready to discuss how your experience aligns with their needs and how you can contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who can help us enable possibility. Tailor your application to highlight your teamwork and analytical skills, and show us how you can make an impact.
We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Science Manager role. Highlight your experience with predictive modelling, NLP, and any relevant tools like Python or SQL. We want to see how your skills align with our needs!
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 you can contribute to our collaborative culture. Share specific examples of how you've solved complex problems in the past.
Showcase Your Team Spirit:Since we value collaboration, make sure to mention your teamwork experiences. Tell us about times you've worked in cross-functional teams and how you built strong partnerships to achieve project goals.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Arch Insurance (UK) Limited
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of predictive modelling, NLP, and data mining techniques. Be ready to discuss specific projects where you've applied these skills, especially in the insurance industry. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Collaboration Skills
Since the role emphasises teamwork, prepare examples of how you've successfully collaborated with cross-functional teams. Highlight instances where your contributions led to innovative solutions or improved project outcomes. This will demonstrate your ability to build strong partnerships across the organisation.
✨Communicate Complex Ideas Simply
Practice explaining complex analytical concepts in a way that non-technical stakeholders can understand. Use clear, concise language and avoid jargon. This skill is crucial for conveying insights and driving business decisions, so be prepared to showcase this during your interview.
✨Demonstrate Your Curiosity and Problem-Solving Skills
Be ready to discuss how you approach ambiguous problems and break them down into manageable pieces. Share examples of how your natural curiosity has led you to discover new insights or improve processes. This will highlight your critical thinking and creative problem-solving abilities, which are key for this role.
