Tamara Builders Program - Data

Tamara Builders Program Cohorts: January yearly | Function: Multiple, apply once and tell us where you want to build About Us Tamara is Saudi Arabia's first FinTech unicorn, on a mission to help people own their dreams by building the most customer-centric financial super app in the world. There's no playbook for that; our Tamarians are writing it as we go, and we believe potential should be stretched early. The Flagship Builders Program is our gateway for brilliant minds ready to kick-start their careers. Whether you're a recent graduate or early in your career with up to two years of experience, this is where you'll do real meaningful work, alongside some of the most ambitious people in the region. This year, we’re keeping things simple: one application gets you into the running for any area you’re interested in. Just share a bit about yourself, highlight what you’re great at, and tell us which teams get you excited. We want you to work on what you’re passionate about, so we’ll look at your interests to match you with a role where you can jump in and start building. Where You Could Build Data Analytics: Get hands-on with the numbers behind millions of transactions. You'll support analytics and reporting that help teams understand customers, measure impact, and make better decisions. Machine Learning: Turn data into intelligent solutions. You'll explore machine learning models and algorithms that uncover patterns, predict outcomes, and power smarter products and experiences. Data Engineering: Build the foundations behind millions of data points. You'll work on pipelines, platforms, and infrastructure that transform raw data into reliable, accessible insights. Data Science: Turn complex data into meaningful discoveries. You'll use statistics, experimentation, and advanced analytical techniques to solve problems, uncover opportunities, and shape business decisions. Experience What We Look For in a Builder • A Bachelor's degree in a relevant field (Computer Science, Engineering or similar, depending on your area of interest) • Up to 2 years of experience, including prior internships or co-ops • Passionate about continuous iteration and bringing a creative mindset to solving problems, no matter the function. • Some exposure to your area of interest, through coursework, internships, or projects, is a plus, but potential matters more than a perfect CV Skills • Strong analytical and problem-solving abilities, with a bias toward data-driven decisions • Excellent communication skills, written and verbal • Organizational skills: able to prioritize, multi-task, and work independently • Comfortable working with ambiguity and figuring things out as you go Attributes • Curious, driven, and genuinely excited to build • A self-starter who takes ownership rather than waiting to be told • Resilient and adaptable: you find a way through, not around, a challenge • A collaborative team player who leads with empathy and respect • Goal-oriented, with high personal standards and the energy to match them Why Tamara? Our teams are made up of innovators, problem-solvers, and learners. We thrive on curiosity and collaboration. If this sounds like you: curious, driven, and ready to build, we'd love to meet you. Apply now and join the next generation of Builders. All qualified individuals are encouraged to apply. To learn more about how we protect your privacy, please visit our Candidate Privacy Notice. Note: the functions listed above aren't an exhaustive list. If you're interested in an area we haven't mentioned here, tell us on your application; we still want to hear from you.

A Bachelor's degree in a relevant field (Computer Science, Engineering or similar, depending on your area of interest); Up to 2 years of experience, including prior internships or co-ops; Passionate about continuous iteration and bringing a creative mindset to solving problems, no matter the function; Some exposure to your area of interest, through coursework, internships, or projects, is a plus, but potential matters more than a perfect CV

Not explicitly separated as a responsibilities section in the posting; the description outlines program goals and areas (Data Analytics, Machine Learning, Data Engineering, Data Science) and what the program involves in terms of applying, matching to teams, and contributing to analytics, models, pipelines, and insights across various data-focused domains.