At a Glance
- Tasks: Lead a team to solve complex business problems using advanced analytics and predictive modelling.
- Company: Dynamic company fostering collaboration and innovation in the insurance industry.
- Benefits: Competitive salary, professional development, and opportunities for mentorship.
- Other info: Join a supportive team with a focus on growth and innovative solutions.
- Why this job: Make a real impact by enabling possibilities through data-driven insights.
- Qualifications: Experience in advanced analytics, particularly in the insurance sector, 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.
Data Science Manager employer: ARCH EUROPE INSURANCE SERVICES LTD
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 focus on work-life balance, and the opportunity to lead a talented team while making impactful contributions to the insurance industry in London. Join us to unlock your potential and drive meaningful change in a culture that values creativity and teamwork.
Contact Details:
ARCH EUROPE INSURANCE SERVICES LTD 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 people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive models or advanced analytics. 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 practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our collaborative culture.
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 can contribute to our collaborative culture. Don’t forget to mention specific projects where you've made an impact.
Showcase Your Teamwork Skills:Since we value collaboration, include examples of how you've worked in cross-functional teams. Talk about how you’ve built relationships and solved complex problems together. We love a good team player!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at ARCH EUROPE INSURANCE SERVICES LTD
✨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 Collaboration Skills
Since the role emphasises teamwork, prepare examples of how you've successfully collaborated with cross-functional teams. Highlight instances where your contributions led to innovative solutions or improved processes. This will demonstrate your ability to build strong partnerships across the organisation.
✨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 this during your interview.
✨Demonstrate Your Curiosity
Be ready to discuss how your natural curiosity drives your work. Share examples of how you've explored datasets or questioned existing processes to uncover new insights. This will highlight your proactive approach and critical thinking skills, which are essential for the role.
