Data Scientist

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.

Wheely

ABOUT WHEELY Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. ABOUT THE ROLE We're hiring mid-level and senior Data Scientists / ML Engineers. You will own the entire process: from ideation and research through to production deployment.   You'll join one of several hiring teams (Mapping, Matching, Pricing, or Supply) tackling challenging & high-impact problems such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration. RESPONSIBILITIES * Collaborate with engineers, designers, and product managers to solve ambiguous problems * Research, prototype, and ship ML models into production * Continuously improve existing algorithms and identify opportunities for new ones REQUIREMENTS * Strong academic background in a STEM field * 2+ years of experience in Data Science or Machine Learning for mid-level; 5+ years for senior roles * Strong foundation in probability & statistics NICE TO HAVE * Experience with geospatial data or routing (particularly relevant for the Mapping team) * Background in operations research or combinatorial optimization (particularly relevant for the Matching and Pricing teams) * Experience deploying real-time or latency-sensitive ML systems WHAT WE OFFER * Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice * Salary: £90,000 – £110,000 * Employee stock options plan * Private medical and dental insurance * Life and critical illness cover * Latest-generation MacBook Pro and 4k display * Monthly credit towards Wheely journeys * Cycle to Work scheme * Professional development stipend * Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

WPP

WPP is the trusted growth partner for the world’s leading brands.  We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.    We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.   Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.    For more information, visit WPP.com.   WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology product to power marketing transformation.   WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost.  We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.    Who we are looking for A proactive and highly skilled Data Scientist, eager to apply and advance expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse, extract, and drive insights from complex datasets within our core HQ team. This individual will take ownership of key data science initiatives, developing and optimising solutions that deliver significant business value. This role is fundamental to sustaining momentum on high-impact projects and is crucial for embedding core data science intelligence and building institutional knowledge. The position requires lateral thinking and strategic problem-solving, ensuring a direct and embedded contribution to our solutions enhancement work.  Key Skills:  * Strong and demonstrable programming skills in Python and extensive experience using Jupyter notebooks for data analysis and visualisation.  * Proven proficiency in GCP services such as BigQuery, Google Cloud Functions, and Vertex AI.  * Solid understanding and practical application of machine learning techniques in data activation solutions, including supervised and unsupervised learning, classification, and regression models.  * Expert proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.  * Excellent communication and presentation skills, with the ability to articulate complex findings, derive strategic insights, and present recommendations to diverse stakeholders independently.  * Ability to work autonomously and demonstrate proactive problem-solving, critical for an embedded HQ role.  Description:  * Drive the development and implementation of data science algorithms for critical strategic initiatives, including but not limited to Footfall Accelerator, Guaranteed Outcomes, Total Audio Planner, and Integrated Social.  * Work closely with cross-functional teams to design and execute A/B tests, rigorously analysing results to uncover actionable insights and formulate strategic recommendations.  * Utilise Python and Jupyter notebooks to preprocess, analyse, and model large datasets, identifying trends and patterns that directly inform strategic decision-making and solution enhancement.  * Lead efforts to optimize marketing campaigns and other business processes through advanced data-driven approaches.  * Present findings and strategic insights to internal stakeholders, ensuring clarity, impact, and driving consensus.  * Engage in continuous learning and development to advance data science capabilities, contributing actively to the team's intellectual growth and the evolution of our solutions.  * Act as a critical in-house expert, contributing to an environment of innovative and lateral thinking within the HQ team.  Education:  * Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.  Ideal Certifications:  * Python for Data Science (Coursera/similar advanced program)  * Google Cloud Machine Learning Engineer (Associate/Professional)      Who you are: You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.   What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid  We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. PLEASE READ OUR PRIVACY NOTICE (HTTPS://WWW.WPP.COM/EN/CAREERS/WPP-PRIVACY-POLICY-FOR-RECRUITMENT) FOR MORE INFORMATION ON HOW WE PROCESS THE INFORMATION YOU PROVIDE.