National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

FINANCIAL SERVICES INDUSTRY INTERN (FSI GTM)

Snowflake
London
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Machine Learning Applied Scientist (Machine Learning Observability & Governance)

Machine Learning Applied Scientist (Machine Learning Observability & Governance)

Machine Learning Applied Scientist (Machine Learning Observability & Governance)

Lead Data Scientist - Applied Intelligence

Build the future of the AI Data Cloud. Join the Snowflake team.

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.

We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for themselves and Snowflake. The Financial Services Go-to-Market (FSI GTM) team is seeking a motivated intern to support research, operations, and data technology initiatives. This role offers a unique opportunity to contribute to Snowflake’s growth in the financial services sector while gaining hands-on experience in an innovative environment.

WHAT WE OFFER:

Paid, full-time internships in the heart of the software industry.

Post-internship career opportunities (full-time and/or additional internships).

Exposure to a fast-paced, fun, and inclusive culture.

A chance to work with world-class experts on challenging projects.

Opportunity to provide meaningful contributions to a real system used by customers.

High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation.

WHAT WE EXPECT:

Must be actively enrolled in an accredited college/university program during the time of the internship.

Desired Class Level: Junior, Senior, or Graduate.

Desired Majors: Business, Data Science, Finance, Computer Science, or related fields.

Required Coursework: Foundational courses in data analytics, business, or finance.

Recommended Coursework: Advanced courses in data visualization, cloud computing, or machine learning.

Bonus Experience: Familiarity with SQL, Python, Snowflake, or similar data platforms.

WHAT YOU WILL LEARN / GAIN:

Research and analysis of financial services trends, including regulatory compliance, ESG initiatives, and Open Banking.

Hands-on experience with Snowflake’s data platform and its applications in financial services.

Exposure to sales enablement, operational workflows, and cross-functional collaboration.

Insights into cutting-edge technologies like AI/ML and data sharing ecosystems.

POSSIBLE TEAMS / WORK FOCUS AREAS:

Research: aggregate & Analyze industry trends, emerging technologies, and competitor activities to support GTM strategies.

Operations: Curate insights, track initiatives, and optimize internal workflows including improving global best practice.

Data Technology: Assist in creating and testing industry asset like demos, solutions, workflows for use cases including regulatory reporting, fraud detection, and ESG initiatives.

AI:support AI program adoption activities in FSI.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.