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- Tasks: Lead a team to solve complex business problems using advanced analytics and predictive modelling.
- Company: Join Arch, a collaborative company focused on innovation and enabling possibilities for clients and communities.
- Benefits: Enjoy a full-time role with opportunities for mentorship and professional growth in a dynamic environment.
- Why this job: Be part of a culture that values teamwork, creativity, and impactful solutions in the insurance industry.
- Qualifications: Degree in relevant fields; experience in advanced analytics, especially in insurance, is preferred.
- Other info: Create job alerts for future opportunities if this role isn't the right fit for you.
The predicted salary is between 43200 - 72000 £ 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 Possibilityâ„ .
Key Tasks & 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 boarder team needs.
- Oversee the build of predictive models using advanced analytics techniques including GLMs, natural language processing, and machine learning.
- Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results 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
- 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, R and / or SQL.
- 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.
Experience
- Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.
- Experience working in an analytical role within an insurance environment is an advantage.
- Hands-on experience developing and deploying real-time predictive models.
- Experience delivering business value from small or non-standard data sets.
Qualifications
- Degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.
14101 Arch Europe Insurance Services Ltd
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Industries
Insurance
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Data Science Manager employer: Arch Insurance (UK) Limited
Contact Detail:
Arch Insurance (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network with professionals in the insurance and data science fields. Attend industry events, webinars, or local meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into the company culture and the specific challenges they face.
✨Tip Number 2
Familiarise yourself with the tools and technologies mentioned in the job description, such as Python, R, SQL, and cloud platforms like Databricks and Azure. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to continuous learning.
✨Tip Number 3
Prepare to discuss your experience with predictive modelling and analytics during interviews. Be ready to share specific examples of how you've solved complex business problems using data-driven approaches, particularly in the insurance sector.
✨Tip Number 4
Showcase your teamwork and collaboration skills by highlighting past experiences where you've worked in cross-functional teams. Emphasise your ability to build relationships and communicate effectively with both technical and non-technical stakeholders.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the Data Science Manager position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in advanced analytics, particularly within the insurance industry. Mention specific projects where you've developed predictive models or used analytical tools like Python, R, or SQL.
Showcase Collaboration Skills: Since the role involves working closely with business partners and cross-functional teams, provide examples of how you've successfully collaborated in previous roles. Highlight your ability to communicate complex concepts to both technical and non-technical audiences.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for solving complex business problems and your innovative mindset. Discuss how your skills and experiences make you a great fit for the company culture at Arch, focusing on collaboration and progress.
How to prepare for a job interview at Arch Insurance (UK) Limited
✨Understand the Business Context
Before the interview, research the company and its industry, particularly focusing on the insurance sector. Be prepared to discuss how your analytical skills can solve specific business problems they face.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in programming languages like Python, R, or SQL. Prepare examples of predictive models you've built and be able to explain the techniques you used, such as machine learning or natural language processing.
✨Emphasise Collaboration
Since the role requires working closely with cross-functional teams, highlight your teamwork experiences. Share examples of how you've successfully collaborated with others to achieve project goals and fostered strong relationships.
✨Prepare for Problem-Solving Questions
Expect questions that assess your critical thinking and problem-solving abilities. Practice breaking down complex problems into manageable parts and explaining your thought process clearly, as this will demonstrate your analytical mindset.
