Data & Analytics Intern
Podsumowanie roli od JobGrid
Data & Analytics Intern at legora in Stockholm, Sweden, on-site, in IT / Data Science & ML, at Intern level. JobGrid presents the structured role facts separately from the employer description and routes candidates to the original public application page.
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- Source freshness: posted on 2026-06-02 and last checked on 2026-06-03.
- Original-language boundary: the job content is published in English; JobGrid keeps the employer description separate on the page.
- Comparable classification: this listing is grouped under IT / Data Science & ML for search and filtering consistency across jobs and markets. Salary context is not provided in the源
About Us
Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.
Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes.
1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.
We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.
Joining Legora means three things.
We lean in: ownership over titles, outcomes over intentions.
We fight for excellence: high standards, direct, ego-free feedback.
We grow together: as a team and with our customers.
Mission before ego. Everyone contributes. No one coasts.
If you’re driven by impact, pace, and raising the bar. This is the place.
As a Data & Analytics Intern at Legora, you'll spend the summer building something real: an internal analytics agent that the rest of the company can actually use. Think of this as a role that sits squarely between software engineering and data science — you'll be designing and deploying an agentic system on top of our data stack, not prototyping something that lives in a notebook.
The agent you build should be able to answer questions about our business, navigate our data models, and get better the more it's used. You'll own the project end-to-end: scoping, building, deploying, iterating with real users on the data team and beyond. You'll be supported by senior data and engineering folks, but the direction and the build are yours.
This is a hands-on, ship-it summer. The bar is that what you build is still in use after you leave.
What you will be doing:
Design, build, and deploy an internal analytics agent that helps Legora employees explore and understand our data.
Architect the agent so it improves over time — retaining context across conversations, learning from prior interactions, and getting smarter the more it's used.
Integrate the agent with our data warehouse (Snowflake), semantic layer, and dbt models so it can answer questions grounded in real, modelled data.
Build the surrounding infrastructure: evaluation harnesses, observability, guardrails, and a deployment pipeline that lets the agent evolve safely.
Partner with data, product, and engineering to shape what the agent should do — and what it shouldn't.
Ship iteratively, gather feedback from real internal users, and improve the system on a short loop.
Who you are
Currently studying or recently completed a degree in Computer Science, Engineering, Data Science, or a related technical field.
You've built and deployed agentic systems before — not just called an LLM API in a script, but designed agents with tools, state, and real production constraints in mind.
Comfortable across the stack: you can write production Python, you understand how to model data (dbt, SQL, warehouse design), and you've worked with modern LLM frameworks and orchestration tools.
You think like an engineer about reliability, evaluation, and iteration — not just like a prototyper.
Familiarity with at least some of: dbt, Snowflake (or similar cloud warehouses), semantic layers, vector stores, LLM observability tooling, and modern agent frameworks.
A bias toward shipping. You'd rather get something crappy in front of users in week two than have something perfect in week ten.
But most importantly, you are someone who
"Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours
Strives in a fast-paced environment where the answers aren't always clear and processes are few
Practicals & Logistics
Location: Stockholm HQ, on-site
Duration: Summer 2026 (exact dates flexible)
Team: Data & Analytics, sitting close to Engineering & Product
Legora is an Equal Opportunity Employer
At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.