Data Science Summer Internship - 2026

Arch Capital Group
London
3 months ago
Create job alert

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℠.

2026 Strategic Analytics Summer Internship

Role

8-week paid summer internship

Location

London

Department

Strategic Analytics

Duration

Monday 22nd June 2026 – Friday 14th August 2026

About Arch Insurance International

Arch Insurance International, part of the Arch Capital Group, is a market-leading insurer located in the UK. We provide a range of property, casualty, and specialty insurance for corporations, professional firms, and financial institutions across the UK, Europe and Internationally, with a significant presence in the Lloyd’s and London Underwriting market.

Arch Insurance recognises the need to be a digital insurer and as such has shifted focus from traditional technology initiatives to agile driven digital initiatives, leading the commercial & specialty insurance space. Arch offers an entrepreneurial work environment that empowers the individual and encourages constant learning and growth.

People are at the centre of everything we do at Arch, and we are passionate about investing in the future talent of the insurance industry and providing early career paths where everyone can thrive. Our range of UK early careers programmes include summer internships, commercial insurance apprenticeships and graduate programmes.

Summer Internship Programme

We’re offering an exciting 8-week internship opportunity within our Strategic Analytics team, designed for undergraduate students eager to explore the intersection of data science, engineering, and visualization. You’ll work on real-world projects using modern cloud-based tools like Databricks and Snowflake, helping to build scalable data solutions and deliver actionable insights.

Key Tasks & Responsibilities

Data Engineering

Build and optimize data pipelines using Databricks notebooks and Spark.

Integrate and manage structured and semi-structured data in Snowflake.

Support ETL/ELT processes and ensure data quality and reliability.

Data Science

Conduct exploratory data analysis and feature engineering.

Apply machine learning models using Python and Databricks.

Evaluate model performance and assist in refining predictive solutions.

Visualization & Insight Delivery

Develop dashboards and reports using Power BI or Snowflake Streamlit.

Present findings in a clear, business-relevant format to stakeholders.

Contribute to storytelling with data to support strategic decisions.

Qualifications & Experience

Expected/achieved minimum 2:1 classification in a Maths, Computer Science, or similarly quantitative degree discipline

Prior experience using python, PowerBI or SQL would be beneficial

Arch seeks candidates who have excelled in previous work experience, demonstrated outstanding academic and extracurricular achievement, possess strong analytical, quantitative, and interpersonal skills, and are enthusiastic about the insurance industry.

Key Dates

Monday 6th October 2025: Application window opens

Friday 30th January 2026: Application window closes

Monday 9th February – Friday 20th February 2026: Online interviews

Monday 22nd June 2026 – Friday 14th August 2026: Summer Internship

14101 Arch Europe Insurance Services Ltd

Related Jobs

View all jobs

2026 Summer Internship, Engineering & Data Science (London)

Summer Internship Programme 2026 - Net Zero Data Science

Summer Internship Programme 2026 - Net Zero Data Science

Summer Internship Programme 2026 – Net Zero Data Science

Summer Internship Programme 2026 – Net Zero Data Science

2026 Machine Learning Center of Excellence (NLP) - Summer Associate

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.