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, particularly in the insurance industry.
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 employer: Mcneil & Co.
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 and a supportive environment that values creativity and teamwork. Located in the heart of London, our company offers unique advantages such as access to a vibrant market and the chance to make a significant impact in the insurance industry.
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 industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data science. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and skills. Confidence is key!
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing real examples of your analytical skills and creativity, so make sure to highlight any predictive models or insights you've developed.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for innovative minds to join our team, so take that leap and submit your application today!
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! 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 teamwork, make sure to mention your experiences working in cross-functional teams. Tell us how you've built strong partnerships and collaborated effectively to achieve project goals.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll be joining our talent community, which is a bonus!
How to prepare for a job interview at Mcneil & Co.
✨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 or business partners 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
Prepare to discuss how your natural curiosity drives your work. Share examples of how you've questioned existing processes or sought out new techniques to improve outcomes. This aligns perfectly with their culture of innovation and will show that you're proactive in your approach to problem-solving.
