At a Glance
- Tasks: Lead a team to solve complex business problems using advanced analytics and predictive modelling.
- Company: Join Arch Insurance, a leader in the insurance industry with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on mentorship and career development.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Experience in advanced analytics, preferably in the insurance sector, with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
- Within commuting distance of one of our campuses.
Data Science Manager employer: Arch Insurance (UK)
Arch Insurance (UK) is an exceptional employer that fosters a collaborative and innovative work culture, ideal for a Data Science Manager looking to make a significant impact in the insurance industry. With a strong emphasis on employee growth, you will have the opportunity to mentor a talented team while utilising cutting-edge analytics techniques in the vibrant city of London. The company offers a supportive environment where your insights drive business decisions, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science and analytics. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects and predictive models. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your past experiences and how they relate to the role. Remember, it’s not just about technical skills; show your passion for solving business problems too!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us.
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 what we're looking for!
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 team. Don't forget to mention any experience in the insurance industry, as it's a big plus for us.
Showcase Your Projects:If you've worked on any cool projects, especially those involving advanced analytics or machine learning, make sure to include them. We love seeing real-world applications of your skills, so don't hold back!
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 shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Arch Insurance (UK)
✨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 Teamwork Skills
Since collaboration is key for this role, prepare examples of how you've successfully worked in cross-functional teams. Highlight instances where you built strong partnerships with peers or business partners to solve complex problems. This will demonstrate your ability to fit into their team 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 that drive business decisions, so be prepared to showcase it during the interview.
✨Be Curious and Ask Questions
Demonstrate your natural curiosity by preparing thoughtful 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 success. It’s a great way to engage with your interviewers and leave a lasting impression.
