At a Glance
- Tasks: Lead a team to solve complex business problems using advanced analytics and predictive modelling.
- Company: Join a collaborative and innovative company that empowers potential.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Other info: Dynamic role with opportunities for mentorship and career growth.
- Why this job: Make a real impact by driving business decisions with powerful insights.
- Qualifications: Experience in advanced analytics, especially in the insurance industry, and strong communication 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.
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.
Data Science Manager in London employer: Arch Capital Group
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 have the opportunity to lead a talented team, engage in meaningful projects within the dynamic London Market insurance environment, and benefit from continuous professional development. Our commitment to enabling possibility extends beyond our clients to our employees, making us an exceptional employer for those seeking a rewarding career in analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects or case studies that highlight your analytical skills and problem-solving abilities. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data science. Be ready to discuss your thought process when tackling complex problems and how you’ve collaborated with teams in the past.
✨Apply Through Our Website
If you see a role that excites you, apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll be part of our talent community, which means we’ll keep you in the loop about future opportunities.
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 reflects the skills and experiences that align with the Data Science Manager role. Highlight your analytical skills, experience with predictive modelling, and any relevant tools you've used. We want to see how you can contribute to our mission!
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 makes you a great fit for our team. Don't forget to mention your collaborative spirit and innovative mindset!
Showcase Your Projects:If you've worked on any interesting projects, especially in the insurance industry, make sure to include them in your application. We love seeing real-world applications of your skills, so share those insights and results with us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details about the role and our company culture there!
How to prepare for a job interview at Arch Capital Group
✨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 also how to implement it in real-world scenarios.
✨Showcase Your Collaboration Skills
Since the role emphasises teamwork and collaboration, prepare examples of how you've successfully worked in cross-functional teams. Highlight instances where you built strong partnerships with peers to solve complex problems. This will demonstrate your ability to fit into their collaborative culture.
✨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
Exhibit your natural curiosity by asking insightful questions about the company's analytics processes and challenges. This shows that you're not just interested in the role, but also in how you can contribute to their goals. It reflects your proactive mindset and willingness to learn.
