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, and strong teamwork 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: 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 have the opportunity to lead a talented team, engage in meaningful projects that drive business decisions, and benefit from continuous professional development in the dynamic London Market insurance environment. Join us to be part of a company that not only values your expertise but also encourages growth and creativity in a supportive atmosphere.
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, attend meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your problem-solving abilities effectively.
✨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 predictive models and analytics solutions, so make sure to highlight your best work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you can set up job alerts to stay updated on new openings that match your skills and interests.
We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your experience with predictive modelling and analytics techniques that align with what we’re looking for. This shows us you understand the job and are genuinely interested!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve successfully solved complex business problems or built predictive models. We love seeing how you’ve made an impact in previous roles.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that convey your thoughts effectively. Avoid jargon unless it’s relevant, and make sure your communication style reflects the collaborative culture we value.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you can easily keep track of your application status!
How to prepare for a job interview at Mcneil & Co.
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of advanced analytics techniques like predictive modelling and NLP. Be ready to discuss how you've applied these in real-world scenarios, especially in the insurance industry. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Collaboration Skills
Since the role emphasises teamwork, prepare examples of how you've successfully collaborated with cross-functional teams. Think about specific projects where you built strong partnerships and how those relationships helped achieve project goals. This will highlight your ability to work well with others.
✨Prepare for Problem-Solving Questions
Expect questions that assess your critical thinking and problem-solving skills. Practice breaking down complex problems into manageable pieces and explaining your thought process clearly. This will demonstrate your analytical mindset and ability to tackle ambiguous concepts.
✨Communicate Clearly and Confidently
Your verbal and written communication skills are crucial for this role. Practice explaining complex concepts in simple terms, as you'll need to convey insights to both technical and non-technical stakeholders. Confidence in your communication will make a great impression.
