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: Dynamic role with opportunities for mentorship and career growth.
- Why this job: Make a real impact by enabling possibilities through data-driven insights.
- Qualifications: Experience in advanced analytics, particularly in the insurance industry, is essential.
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 employer: Arch Insurance (UK) Limited
As a Data Science Manager at our company, you will thrive in a collaborative and innovative environment that champions employee growth and development. We offer competitive benefits, a strong emphasis on teamwork, and the opportunity to work with cutting-edge analytics tools in the heart of London’s insurance market, making it an ideal place for those looking to make a meaningful impact while advancing their careers.
Contact Details:
Arch Insurance (UK) Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those in the insurance industry. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytics projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to convey your ideas to both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us enable possibility. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Science Manager
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! Share your passion for data science and how you’ve tackled complex business problems in the past. Let us know why you’re excited about joining StudySmarter and how you can contribute to our mission.
Showcase Your Projects:If you've worked on any cool projects, especially in the insurance industry, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your successes and learnings.
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 get all the updates. Plus, it’s super easy to do!
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 also how to implement it effectively.
✨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 business partners to solve complex problems, as this aligns perfectly with their company culture.
✨Communicate Complex Ideas Simply
Practice explaining complex analytical concepts in a way that anyone can understand. Use clear, concise language and avoid jargon. This will demonstrate your excellent communication skills and your ability to convey insights to both technical and non-technical stakeholders.
✨Be Curious and Ask Questions
During the interview, don’t hesitate to ask insightful questions about the company's analytics processes or challenges they face. This shows your natural curiosity and willingness to engage deeply with the role. It also gives you a chance to assess if the company is the right fit for you.
