Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Manager

Arch Insurance (UK) Limited
Colchester
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Lead R Data Scientist - Sustainability

Data Analyst

Data Engineer

Data Analyst

Lead Data Engineer

Join to apply for the Data Science Manager role at Arch Insurance (UK) Limited

Join to apply for the Data Science Manager role at Arch Insurance (UK) Limited

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℠.

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 LtdSeniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesInsurance

Referrals increase your chances of interviewing at Arch Insurance (UK) Limited by 2x

Sign in to set job alerts for “Data Science Manager” roles.

Ipswich, England, United Kingdom 19 hours ago

Data Science and Machine Learning Research ScientistSenior Research Scientist: Data Science and Machine Learning AIP

Chelmsford, England, United Kingdom 2 weeks ago

Senior Research Scientist: Data Science and Machine Learning AIP

Chelmsford, England, United Kingdom 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.