Junior Data Scientist

Maplecroft
London
5 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist: Learn & Grow in Dog Nutrition Tech

Junior Data Scientist

Junior Data Scientist: Turn Tool Data into Customer Insights (Hybrid)

Reports to: Team Leader, Analytics, Claims and Underwriting Solutions (International)

Location: London/Hybrid

Business Description

Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market.

In underwriting we create sophisticated risk models to assist insurers with risk selection and accurate pricing. Our range of models is broad spanning residential and commercial property perils, motor insurance, SME business covers, travel, pet and health insurance. To feed our risk models we source many diverse datasets covering high resolution weather data, property attributes, business activities and financial data, insurance claims and policies, medical information, aerial imagery and geodemographic data.

In claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively.

Role Purpose

Verisk are looking for a Data Scientist to support the development of various data science models to support the development of our risk management products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervised clustering type models, language modelling, network analysis and a variety of other statistical analysis methods.

The successful candidate(s) will be at an early stage in their career. You will have the opportunity to play a key role in evaluating our datasets, providing analytical insights and in the evolution of models from inception to production.

This is an exciting and varied role with great potential for career development. We are looking for smart and highly motivated individuals who will enjoy being creative with modern data science techniques. You will have great attention to detail, strong technical skills and a desire to learn about the insurance industry. Excellent communication skills and a strong belief in teamwork are essential.

Responsibilities
  • Support the Analytics Team build out new analytics products for claims and underwriting
  • Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results).
  • Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model
  • Identify which factors are relevant and predictive and should be included in the model build
  • Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new data with minimal effort
  • Create clear and easy to understand reports. Verbally present analysis ideas, progress and results to colleagues.
  • Support a high-performance collaborative culture.Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results.
Qualifications

Skills & Experience

  • Solid academic foundation, science or analytics related discipline
  • Solid programming experience ideally with Python and SQL
  • Experience with data manipulation and validation as well as modelling or statistical techniques
  • Excellent written and verbal communication skills
  • Detail-oriented technical aptitude with strong logical, problem solving and decision-making skills.

#LI-Hybrid

About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you\'ll have the chance to use your voice and build a rewarding career that\'s as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companiesand by Forbesas a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

  • Job Category Data Science and Business Intelligence
  • Job Schedule Full time
  • Locations London, United Kingdom Norwich, Norfolk, United Kingdom


#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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.