
GoCardless · London
About us GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments t...
About us
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect
and send payments through direct debit, real-time payments and open banking.
GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and
one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce
fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions.
We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia,
Portugal and the United States.
At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need
extra support or adjustments, reach out to your Talent Partner — we’re here to help!
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our
customers, from enhancing payment success rates to driving payer fraud prevention.
As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and
Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial
concept to production-ready code that powers our global payment network.
At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for
innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance
models at scale.
long-term career development.
high-impact goals.
production.
to senior stakeholders.
lifecycle of a model, from initial prototype to robust production deployment.
stakeholders and leadership.
Prevention, or Payments is a big plus).
Base salary range: £99,200 - £148,800
Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer
competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be
assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and
fellow employees at GoCardless doing similar work.
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our
mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do
it. Working this way creates the GC magic- the reason we all love showing up to work.
As of April 2025, we had 806 employees (GeeCees) globally, with 524 based in the UK, 163 based in Latvia and 119 across our other
offices.
To ensure that we're representative of the world around us - and to be able to review relevant benchmarks - we ask GeeCees to
voluntarily disclose diversity data. This year, the proportion of GeeCees providing data increased to 88% (up from 79% in 2024).
With regards to diversity within GoCardless, we can see GeeCees identifying as:
Asian, Black, Mixed or Other — 25%
Neurodiverse — 9%
Disabled — 1%
Average age — 33
Female — 45%
Male — 55%
We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment
process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here
Sustainability
We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. Check out our
sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
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.
GROWTH DATA SCIENCE & ANALYTICS LEAD (MATERNITY COVER) London, Hybrid Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role Our Growth Data Science & Analytics function sits at the heart of Prolific and owns Prolific’s growth framework - answering questions like: where are our biggest opportunities, what's constraining our growth, and where should we invest next? We're looking for an experienced data leader to cover maternity leave for our Growth Data Science & Analytics Lead. This is an ex-co facing leadership role: you'll manage a team of three embedded data scientists & analysts, own the analytics roadmap across our business verticals, and be the senior data voice in cross-functional and ExCo-level conversations. This is a rare opportunity to step into a high-impact interim leadership role in a fast-growing, data-rich marketplace business. What you’ll be doing in the role Team leadership & project oversight * Lead and manage a team of three embedded data scientists & analysts * Own weekly planning, prioritisation, and delivery oversight across the team's workstreams * Act as line manager and primary point of escalation, supporting individual contributor development and day-to-day work * Manage intake processes and stakeholder expectations across business verticals Stakeholder & ExCo reporting * Serve as the senior analytics partner to the Executive Committee, presenting data-led insights on marketplace health, revenue performance, and growth * Own and maintain key reporting surface across our BI infrastructure * Translate complex analytical findings into clear, measured narratives for senior audiences * Build trusted relationships with cross-functional partners across all functions What you’ll bring to the role * Leadership Experience: Proven experience leading a data and analytics team, ideally in a marketplace or platform business & experience managing and developing analysts and data scientists at different seniority levels * Commercial Instinct: Strong commercial instincts — you understand how data connects to business outcomes and can communicate that to non-technical leaders * Stakeholder Management: Excellent stakeholder management skills, including experience presenting to or advising executive teams * Analytical Rigor: Hands-on SQL proficiency — comfortable getting into the detail when needed * Comfortable picking up mid-flight work and operating without a long handover runway * Prior experience in a scale-up or growth-stage company is a plus Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. Links to more information on Prolific Benefits External Handbook Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
London – Manager, Data Science & Marketing Effectiveness Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer analytics, Operational excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. Your responsibilities As a manager specialising in MMM & Marketing Effectiveness, you will lead high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will manage multiple teams and accounts, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients while driving business growth and talent development. Lead Projects · Oversee end-to-end MMM and marketing effectiveness programmes, from scoping and data strategy through to modelling, insights, and activation. · Ensure robust project governance, including data quality, model validity, and actionable recommendations that drive client impact and business growth. · Translate complex analytical outputs into strategic narratives and clear actionable recommendations for senior stakeholders and C-suite clients. · Define, steer, and monitor project roadmaps using Ekimetrics’ methodologies and standards, ensuring delivery aligns with client objectives, profitability targets, and timelines. · Provide strategic oversight to clients, helping optimise marketing spend, enhance campaign performance, and improve customer segmentation and ROI. · Support partners and senior managers in client engagement, delivering strategic insights, shaping proposals, and contributing to RFPs/pitches · Continuously identify and implement innovative approaches to solve client business challenges. People & Project Leadership · Line manage multiple team members, overseeing performance, conducting regular 1:1s, performance reviews, and talent assessments, while ensuring high-quality delivery, profitability, and client satisfaction. · Lead talent development initiatives, including annual talent reviews and career development planning, · Mentor project teams, guiding analytical workstreams, ensuring quality, and promoting knowledge sharing to develop team capabilities. · Contribute to project staffing strategy, balancing business priorities, expertise requirements, and team development opportunities · Recruit, align, and develop resources to build high-performing teams, retaining top talent. · Encourage collaboration, communication, and knowledge sharing within squads, inspiring team engagement and continuous improvement. Account & Business Growth · Serve as the operational and strategic point of contact for key accounts, maintaining strong long-term client relationships. · Identify cross-sell and upsell opportunities and support global account growth strategies. · Contribute to the scoping and design of new projects, ensuring business cases align with Ekimetrics capabilities. · Provide strategic guidance to clients using data-driven insights, helping them understand target audiences, optimise marketing spend, and measure campaign impact. Practice & Thought Leadership · Enhance MMM methodologies, automation, tooling, and internal assets to scale delivery excellence. · Contribute to thought leadership, knowledge management, and innovation initiatives. · Act as an ambassador of Eki culture, role-modelling Ekimetrics’ core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. Your profile Experience & Technical Skills · Experience in econometrics, MMM, or marketing effectiveness. · Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. · Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. · Strong understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. · Skilled in handling large datasets, optimising pipelines, and delivering high-quality outputs · Track record of translating complex model results into actionable business recommendations. Client & People Management · Proven ability to lead multiple project teams and manage priorities autonomously. · Excellent communication, storytelling, and presentation skills for senior stakeholders. · Strategic thinker with strong problem-solving skills and a focus on continuous improvement. · Experienced in mentoring, talent development, and encouraging team growth. · Skilled in client account management, maintaining relationships, and identifying growth opportunities. Soft Skills · Collaborative, proactive, and results-driven. · Positive, resilient, and adaptable in fast-paced consultancy environments. · Curious, creative, and committed to delivering high-quality work. Why join us? At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries while thriving in a collaborative environment. We believe in enjoying what we do and fostering a safe, inclusive space where you can bring your authentic self. In 2023, Ekimetrics obtained “mission-driven company” status, reflecting our commitment to CSR. Our purpose: Accelerate organisations’ transformation towards sustainability through data science and AI. We are proud to have been certified Great Place to Work© in France, the UK, and the US, with our Hong Kong office recognised as Best Companies to Work for in Asia 2023©. Ekimetrics is also part of the French Tech 120, selected among the top French scale-ups with potential for international leadership. You will have access to: · Salary From £80,000 + Bonus 20% + Corporate bonus · The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses · Regular events and seminars to connect with colleagues · Modern office space in a central London location · Flexible hybrid working policy (2 days a week in office + 20 days remotely) · 25 days annual leave + bank holidays, plus 3 additional days for tenure · Private healthcare, life insurance, and wellbeing support · Group pension scheme · Opportunities for international mobility and career development As an employer, Ekimetrics offers equal employment opportunities to all, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ekimetrics strives to develop an inclusive work environment that reflects diversity within its teams.