Data Science/ DSEP Participant | 2026 DSEP
Data Science/ DSEP Participant | 2026 DSEP

Data Science/ DSEP Participant | 2026 DSEP

Full-Time 30000 - 40000 ÂŁ / year (est.) No home office possible
Verisk

At a Glance

  • Tasks: Join a 3-year rotational programme to develop your data science skills and tackle real-world challenges.
  • Company: Verisk, a leader in AI-powered risk modelling and analytics for the insurance industry.
  • Benefits: Competitive salary, medical coverage, pension plans, and wellness initiatives.
  • Why this job: Gain hands-on experience while making a real impact in decision analytics and risk management.
  • Qualifications: Pursuing a degree in a technical field with strong programming skills in Python and SQL.
  • Other info: Innovative culture with opportunities for growth, collaboration, and participation in exciting events.

The predicted salary is between 30000 - 40000 ÂŁ per year.

Verisk’s Data Science Excellence Program (DSEP) is a 3‑year rotational program designed to develop the next generation of data scientists and data engineers. The program consists of two 18‑month rotations within Verisk’s various analytics teams as a full‑time employee. As a DSEP Data Scientist, you’ll receive hands‑on analytics experience doing everything from data wrangling, querying, modeling, visualizing, and productizing as you work in the insurance business area. You will help our clients in decision analytics, forecasting, and risk management. The work includes the creation of both proof‑of‑concept demonstrations to illustrate specific technologies and algorithms as well as robust operational systems that can be put into production. As a member of a project team, you will be exposed to some of the data challenges faced at Verisk’s operations potentially including large‑scale data analysis, real‑time data analysis, and anomaly detection. Data sets of interest include insurance policy and claims data, imagery and documents.

Responsibilities

  • Manipulate, analyze, visualize, and model data of varying volume and velocity with some guidance.
  • Work with cross‑functional peers and management to see a project through to deployment.
  • Communicate complex quantitative analysis in a clear, precise, and actionable manner.
  • Demonstrate a passion for empirical research and resourcefulness for problem‑solving with data.
  • Continue learning new technologies, business skills, and domain knowledge to ensure a successful career.
  • Participate and help organize various innovative events such as hackathons and other competitions.

Qualifications

  • Currently starting the penultimate year of a Bachelor's or Master's degree in a technical field of study (e.g., statistics, business analytics, econometrics), with an expected graduation date in summer 2026.
  • Strong programming capability in a common language such as Python and its associated ecosystem of open‑source libraries.
  • Proficient in SQL. Understanding of NoSQL query languages a plus.
  • Basic understanding of software development practices such as versioning, testing and continuous deployments.
  • Understanding of one or more machine learning or statistical concepts.
  • Experience in one or more of the following: real‑world use cases that solved a problem by applying machine learning and statistical modeling on structured and/or unstructured data; computer vision working with images, videos, or point clouds; natural language processing working with short or long‑form text; large scale mathematical programming and/or optimization problems; other deep learning applications and architectural designs such as graphs or multimodal problems.

About Us

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI‑powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry’s most comprehensive datasets.

Equal Opportunity & EEO: 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.

Data Science/ DSEP Participant | 2026 DSEP employer: Verisk

Verisk is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and innovation. As part of the Data Science Excellence Program, participants will gain invaluable hands-on experience in analytics while collaborating with cross-functional teams, all within a company recognised for its outstanding workplace culture and commitment to ethical standards. With comprehensive benefits, wellness initiatives, and opportunities for career development, Verisk is dedicated to fostering a supportive environment where employees can thrive.
Verisk

Contact Detail:

Verisk Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science/ DSEP Participant | 2026 DSEP

✨Tip Number 1

Network like a pro! Reach out to current or past participants of the DSEP program on LinkedIn. Ask them about their experiences and any tips they might have for you. Building connections can give you insider knowledge and potentially a referral!

✨Tip Number 2

Prepare for those interviews! Brush up on your data science concepts, especially around machine learning and statistical modelling. Practice explaining complex ideas in simple terms, as communication is key in this role.

✨Tip Number 3

Show off your projects! If you've worked on any relevant data science projects, make sure to highlight them during interviews. Whether it's a hackathon project or a personal endeavour, demonstrating your hands-on experience can set you apart.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining Verisk's awesome team!

We think you need these skills to ace Data Science/ DSEP Participant | 2026 DSEP

Data Wrangling
Data Querying
Data Modelling
Data Visualisation
Productisation
Decision Analytics
Forecasting
Risk Management
Python Programming
SQL Proficiency
Machine Learning Concepts
Statistical Modelling
Computer Vision
Natural Language Processing
Large Scale Data Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Science Excellence Program. Highlight relevant skills like programming in Python and SQL, and any experience with machine learning or data analysis. We want to see how your background fits into our world!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data science and why you’re excited about the DSEP. Share specific examples of projects or experiences that showcase your problem-solving skills and enthusiasm for analytics.

Showcase Your Projects: If you've worked on any relevant projects, whether academic or personal, make sure to include them. We love seeing real-world applications of your skills, especially if they involve data wrangling or machine learning. It’s all about demonstrating your hands-on experience!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Verisk. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Verisk

✨Know Your Data Science Fundamentals

Brush up on your machine learning concepts and statistical methods. Be ready to discuss supervised and unsupervised learning, as well as how you’ve applied these in real-world scenarios. This will show your understanding of the core principles that drive data science.

✨Showcase Your Programming Skills

Make sure you can demonstrate your proficiency in Python and SQL during the interview. Prepare to discuss specific projects where you used these languages, focusing on how you manipulated and analysed data. This will highlight your technical capabilities and problem-solving skills.

✨Communicate Clearly and Effectively

Practice explaining complex quantitative analyses in a straightforward manner. Use examples from your past experiences to illustrate how you communicated findings to non-technical stakeholders. This is crucial for a role that involves cross-functional collaboration.

✨Demonstrate Your Passion for Learning

Be prepared to talk about new technologies or methodologies you’ve recently explored. Show enthusiasm for continuous learning and how you plan to stay updated in the fast-evolving field of data science. This aligns with Verisk’s values and shows you’re committed to growth.

Data Science/ DSEP Participant | 2026 DSEP
Verisk

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