Data & AI Intern

Work closely with the Data and AI team to help turn messy problems into practical solutions.

This internship is designed for someone who is curious about how data, machine learning, AI systems, and products come together in a real company environment. You will work across different types of projects: analysis, experimentation, automation, research, internal tooling, and operational problem solving.

Lean has tripled in size over the past twelve months. We’re on track to triple again next year.

What started as the region’s pioneering Open Finance platform is now becoming something bigger: a multi-product infrastructure company powering payments, data, and lending across MENA. We’re expanding into new markets, opening offices, acquiring businesses, and building capabilities that didn’t exist here before.

We’ve processed billions of dollars in transactions. We’re trusted by 300+ clients - from Tabby and Tas’heel to Hungerstation - and backed by General Catalyst, Sequoia, and Shorooq. Our $67.5M Series B was just the beginning.

• Support ongoing data and AI initiatives across the company.

• Help investigate business and operational problems using data.

• Assist with exploratory analysis, experimentation, and prototyping.

• Research tools, models, APIs, and technical approaches when needed.

• Work with structured and unstructured data from different systems.

• Document findings, decisions, and technical work clearly.

• Participate in discussions around product ideas, workflows, and process improvements.

• Take ownership of ambiguous tasks and work through them methodically.

• Curiosity and willingness to learn quickly.

• Strong analytical skills.

• Strong problem-solving and critical thinking.

• Resourcefulness when facing unfamiliar problems.

• Comfort working through ambiguity.

• Ability to communicate ideas clearly and ask good questions.

• Ability to learn independently without waiting for step-by-step instructions.

• Programming experience (Python, SQL, dbt, or similar).

• Familiarity with spreadsheets, APIs, and databases.

• Exposure to AI tools, automation tools, or analytics platforms.

• Interest in AI, machine learning, product thinking, or systems design.

NB. While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!

We’re building the financial infrastructure for MENA. Not as a slogan, as a fact.

Since 2019, we’ve become the first regulated Open Banking and Open Finance company operating across the UAE and Saudi Arabia. We’ve processed billions of dollars. We connect millions of accounts. We enable companies like Binance, Careem, and Etisalat to build products that were previously impossible in this region.

Our recent $67.5M Series B from General Catalyst and Sequoia isn’t just validation: it’s fuel. We’re expanding into new markets, launching new products, and setting the pace for what financial innovation looks like in MENA.

We solve hard problems. We move fast. We hold ourselves to a high standard. And we’re looking for people who’ve done this before to help us do it right.

If you’re motivated by building something that lasts, not just something that scales, Lean is where you need to be.

Not only do we offer competitive salaries, private healthcare, and flexible office hours, but we also insist that every member of the team hold a meaningful equity stake in the business to ensure long-term alignment. We'd love you to join us for this journey!

Lean is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

When applying for a job at Lean Technologies, we will need to collect, use and share Personal Data about you with different members of our team during the application process. This may mean transferring your data to members of the team in one of our office locations worldwide outside of the country you are in. Please refer to our Privacy Notice on our website for more information about how we may use and store your Personal Data