
Liberis · London
Some key info for you about Liberis: 🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in...
🌱 We were founded in 2007
💰 We have provided over $3bn of funding to small businesses so far
🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025
🌍 We're a global team, with a dynamic presence in 6 key locations around the world
🧠 We're a thriving community of over 290 innovative minds
👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team
🏢 Our team brings experience from over 740 previous companies, from startups to global giants
🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle
💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do!
Liberis is in the middle of a meaningful shift. We started as a single-product business and are quickly becoming a truly
multi-product embedded finance company, with different funding structures, revenue models and customer relationships sitting
alongside each other in the same portfolio. That complexity creates real demand for better data, better insight and clearer
thinking about how all of it fits together - with this role sitting at the centre of that challange!
As our Senior Data Product Manager, you’ll sit right at the intersection of product, analytics, engineering and senior leadership,
helping define the data products that power smarter decisions across Liberis. You’ll have real ownership over roadmap,
prioritisation and ways of working, and your work will directly influence how teams access, understand and use data day to day.
This role is a high-impact opportunity for someone who wants to shape how a business uses data at scale! You’ll be joining a team
with a broad remit and a genuine mandate to improve the data experience across the company, so there’s a lot of scope to make the
role your own and shape the future of the domain.
You will own the data and insights product for Liberis, building the foundations that let our commercial, credit and operations
teams actually understand the business they're running. That means, thinking carefully about the entities in our data model, how
products and customers relate to each other, how those relationships surface in reporting and analysis - and how it eventually all
comes out in great dashboards, tools and self-serve capabilities. This is about shipping products which are genuinely useful, not
just technically correct.
Our Engineering Team is going through an AI-first transformation, rethinking how teams are structured and how they ship. Data,
insights and analytics are a crucial part of that journey and you will be a key player in leading, innovating and rapidly
improving our posture and capabilities at the intersection of data and AI.
If you like solving genuinely hard problems, bringing clarity to complex environments and building products that have visible
business impact - this is the role for you!
Your primary job is to help Liberis's commercial decision makers understand the small businesses we serve and how they consider,
use and perform across our product range. Doing this well requires a clear conceptual model of the business and a willingness to
engage with stakeholders across the business, as well as taste and customer empathy in developing a great insights product
including dashboards, insight tools and self-serve capabilities.
You will own the roadmap for our internal data & insight products. Working with stakeholders across commercial, credit, finance
and operations, you will define what good looks like and then work with your team to build it. You will run prioritisation, manage
the backlog and make decisions about where effort goes. You will also spend a meaningful amount of time in the detail, reviewing
data models and dashboards, asking hard questions about definitions, and making sure what we ship is accurate and trusted.
You will partner closely with the engineering side of your team on how data is modelled and structured in BigQuery and DBT, and
with analysts on how it gets presented in Looker. You don't need to write production code, but you need enough technical
understanding to be a genuine partner in those conversations. You will also be responsible for continuing to expand our
partner-facing reporting, whereby partners gain visibility into their portfolio.
This role requires someone who can think clearly about complex data structures and translate that thinking into products that
non-technical people actually find useful. The ideal person has strong conceptual thinking skills, great product instincts and
enough technical depth to earn the trust of the engineers and analysts they work with.
express your thinking in code-speak where needed
Next steps If this opportunity feels like the right fit for your next career move, we’d love to hear from you!
Even if you don’t meet every requirement, don’t hesitate to apply or reach out to Chess (Internal Recruiter)
on chess.crossley@liberis.com
Our hybrid approach
Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy
requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core
part of our culture, while also valuing the importance of the time our teams spend together in the office.
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 lead 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? Lead 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 Senior Data Science Manager, you will oversee the implementation of predictive models across many sports. You will lead your team in the development of 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 * Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems * Mentoring and Staff Development * Expert knowledge of probability and statistics * Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems. * Proficiency with Python or other scripting/programming languages (R, Matlab, etc) * Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss. * Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.) It is advantageous for you to have knowledge of the following: * 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 * Software System Design * Software Development Lifecycle (SDLC) 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.
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 Senior Data Scientist, 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 * Expert understanding of probability and statistics fundamentals * Proficiency with Python or other scripting/programming languages (R, Matlab, etc) * Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems. * Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss. * Mentoring of other team members, helping them develop their skills and deliver effectively 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.
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. Why we're hiring: We are seeking an experienced and visionary Engineering Manager to lead one of our data engineering team. In this role, you will be responsible for managing and scaling data products, driving data pipeline development, and ensuring the availability, quality, and security of our data assets. You will collaborate closely with cross-functional teams including data scientists, analysts, product managers, and software engineers to enable data-driven decision-making across the organization. What you'll be doing: * Lead, mentor, and grow a high-performing team of data engineers. * Design, build, and maintain scalable, reliable, and efficient data pipelines and architectures. * Oversee the development and implementation of ETL/ELT processes, data warehousing, and data lake solutions. * Collaborate with stakeholders to understand business requirements and translate them into technical data solutions. * Ensure data quality, consistency, and security across all data engineering workflows. * Define best practices and standards for data engineering and promote their adoption. * Drive continuous improvement in data infrastructure and tooling, leveraging cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark,dbt). * Collaborate with PMs to manage project timelines, resource allocation, and deliverables to meet business goals. * Work with data governance and compliance teams to ensure data privacy and regulatory compliance. * Stay updated with the latest data engineering trends and technologies and evaluate their applicability. What you'll need: * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. * 7+ years of experience in data engineering or software engineering roles, with at least 3 years in a leadership/management position. * Strong expertise in data pipeline development, ETL/ELT processes, and data warehousing solutions. * Proficient with cloud platforms (AWS, GCP, Azure) and big data tools like Apache Spark, Python, etc. * Experience with relational and NoSQL databases. * Solid understanding of data modeling, data architecture, engineering frameworks * Proven ability to lead and scale engineering teams and manage cross-functional projects. * Excellent problem-solving skills and ability to communicate complex technical concepts to both technical and non-technical stakeholders. * Experience with agile development methodologies. 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.