Data Analyst Intern - 2025 Summer Internship Program

Verisk
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Intern

Data Analyst Intern

Data Analyst Intern

Data Analyst Intern

Senior Data Analyst - Internal Audit

Business Placement Data Analyst Intern

Job Description

Program Overview:

Verisk‘s Summer Internship Program is designed to provide you with real work experience, professional development, and networking opportunities. This is a full-time ( hours/ week) paid internship program spanning ten weeks from June through August 2025. Participation in the internship program requires that you are located near your assigned office (London) as the program is a hybrid work schedule, requiring you to be in the office at least 2 days per week.

At Verisk, we have a longstanding commitment to inclusion, diversity & belonging in our workplace and marketplace. to read our statement on Racial, Equity and Diversity and learn more about our Employee Network Groups and our commitment to making a change.

We have opportunities for students interested in exploring careers in business around the globe. Verisk is a leading data analytics provider serving customers in insurance. Our team of nearly 7,000 helps customers make crucial decisions every day about risk—with greater precision, efficiency, and discipline.

Verisk Maplecroft’s datasets are the core of the company’s offering and your numeracy skills and attention to detail will help ensure that the datasets are delivered on time to clients with the highest level of accuracy. During the internship you will gain hands on experience of maintaining and updating Country Risk datasets. You will also have the opportunity to be creative through supporting the development of new risk indices based on the most advanced geospatial datasets. You may also use the quantitative skills and thematic knowledge from your education to support colleagues in the wider Research and Consulting teams with client work. You will report to the Head of Geospatial Risk Data.

Qualifications

What We’re Looking For: 

Skills and Knowledge 

Logical, analytical and mathematical skills. Adept at problem solving. Strong communication skills, both written and verbally. Passionate and enthusiastic approach to their work and ability to interact well with others at all levels within the business.. Professional and well-mannered. Ability to respond to instructions and deal with the given task in front of you.

You'll notice we did not list specific skills. That's because the "stuff" that matters, the passion, the quantitative mindset, the ability to be a good teammate but also operate independently - these are what we are evaluating you on. We seek innovators who can add to our culture, contribute to our growth, and strive for excellence.

Experience

Enrolled Enrolled in the penultimate year of Bachelor’s degree or Master’s degree with a major in Climate & Sustainability, STEM, Geography, Economics, Data science, Organizational Resilience/Natural Catastrophe, Risk Modelling. A history of tackling projects with a quantitative lens, and a desire for data-driven insights.  Verisk serves the insurance vertical so an interest or past experience in insurance is helpful, though not required. Technical skill requirements vary depending on the position. Be sure to include your technical skillset on your resume, and we can go from there. At a minimum, you should have Microsoft excel as a foundation.

The Internship Program is not eligible for work visa sponsorship. If you will require work visa sponsorship after completing your degree, you do not meet the basic requirements of the summer intern role.

Recruitment Process:

We want to get to know YOU. Once you apply, our team will review your application. Successful candidates will be invited to a two-stage interview process including:

Online Assessments:Our team is eager to get to know you better. During this session, you’ll be asked a series of prerecorded questions to understand what motivates you and where your interests lie. This is your chance to make yourself stand out from the pack. Additionally, you will complete an Excel test to assess your proficiency with basic Excel functionalities.Final Live Virtual Interview:This round is to determine if Verisk’s culture is right for you. You'll have the opportunity to speak with several members of our business recruitment committee.Offer:Our committee will meet and discuss your candidacy. Should you be extended an offer, we will advise you of the specific role and location where your internship will take place.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!