Data Scientist

Almedia

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. DATA SCIENTIST £130K – £230K • Offers Equity • Offers Bonus THE ROLE We are looking for versatile Data Scientists to join us at a pivotal stage of growth. We don’t believe in a "one-size-fits-all" data profile. We value diverse technical lenses—whether you are someone who: * thrives on topics like causal inference, measurement expertise, experimental design, or builder of business logic with a rigorous mathematical backbone who scales data products, * zero-to-one specialist who loves the ambiguity of turning a raw idea into a revenue-generating system. These are some example traits that we are looking for in candidates, beyond your typical data science tasks. You will be part of a team that prizes "AI-First" thinking and building. We want people who love to debug a problem deeply once, if you have to debug it twice, it’s time to automate it. We strive for high standards but remain focused on business outcomes. Every model or dashboard must have a clear "so what?" WHAT YOU MIGHT WORK ON Depending on your seniority, experience or specialisation, your impact may involve some (but not all) of the following: * Designing ML models that power real-time recSys, ranking and pricing algorithms, optimising for engagement and conversion within our gaming ecosystem. * Building reward structures and user-incentive systems that balance user motivation with sustainable ROAS through uplift modelling and pricing optimisation. * Leading complex experimentation iterations in data driven verticals, product or user acquisition, including causal impact estimation or measurement strategies such as MMM and Multi-Touch Attribution. * Zero to one projects, taking a blank slate in a unexplored domain and turning it into a production-ready data product, from initial data structures to final deployment. * Partnering with engineering to refine and develop our stack and system architecture and establishing "gold standard" documentation. WHAT WE’RE LOOKING FOR * Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling or user-incentive systems. * Robust experience of data engineering workflows and modern data stack tools (e.g DBT, Airflow, K8s, Terraform). * Proficiency in Python and SQL; experience with cloud platforms (GCP preferred) * Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.   The Role  You will join a team of data scientists developing the next generation of Genius Sports’ market leading sports models. These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports.   How will you work?  Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.     We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.  If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.    As a Data Scientist DS3 you and your team will play a major role in developing and implementing predictive models across all major sporting codes. You will prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes.  What skills do you have?  * A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject  * A strong understanding of probability and statistics fundamentals  * Proficiency with Python or other scripting/programming languages (R, Matlab, etc)  * Experience with data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.)  * Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You contribute effectively to conversations that drive alignment and uncover edge cases others might miss.  It is advantageous for you to have knowledge of the following:    * Sports rules and strategies  * Sports betting  * Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining  * Data engineering  * Rust, C++, other programming languages  * Real-time systems and/or high-performance computing  What we expect from our co-workers    * Curiosity and strong desire to learn and improve.   * Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.  * Time management and asynchronous communication skills relevant for a geographically diverse engineering organization.  * Enthusiasm and ability to work collaboratively within a team.  * Excellent spoken and written English.  * Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement.  We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change   We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Kpler

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.   Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.