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, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on teamwork.
- 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 in London 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 a dynamic work culture where your insights will directly influence business decisions, alongside opportunities to mentor a talented team of data scientists. Located in the heart of London, we provide access to cutting-edge technologies and a vibrant professional community, making us an exceptional employer for those seeking meaningful and rewarding careers.
Contact Details:
ARCH EUROPE INSURANCE SERVICES LTD Recruitment Team
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 in online forums. The more people you know, the better your chances of landing that Data Science Manager role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytics projects. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and any cloud platforms you've used. Remember, they want to see how you can solve complex problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our collaborative and innovative culture.
We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in advanced analytics, especially in the insurance industry, and showcase your skills in Python, SQL, and predictive modelling. We want to see how you can enable possibility!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our collaborative culture. Share specific examples of how you've solved complex business problems in the past.
Showcase Your Team Spirit:Since we value teamwork, make sure to mention any experiences where you've collaborated with cross-functional teams. Highlight your ability to build strong partnerships and mentor others, as these are key to thriving at StudySmarter.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application 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 solving complex business problems, as this aligns perfectly with the company’s culture of collaboration and innovation.
✨Communicate Complex Ideas Simply
Practice explaining complex analytical concepts in a way that non-technical stakeholders can understand. This is crucial for the role, so think of examples where you've had to break down intricate ideas for different audiences. Clear communication can set you apart from other candidates.
✨Demonstrate Your Curiosity
Be prepared to discuss how your natural curiosity drives your work. Share examples of how you've explored datasets or questioned existing processes to find better solutions. This will resonate well with the company's goal of enabling progress and inspiring others.
