Senior Data Science Manager

Prolific

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.

Ekimetrics

Senior Consultant/Analyst Data Science & Marketing Effectiveness - 2026   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 Senior Analyst specialising in Data Science & Marketing Effectiveness, you will lead the delivery of high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will manage small teams, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients.   Lead Projects ·        Lead end-to-end MMM and marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. ·        Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data ·        Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. ·        Build dashboards and visualisation tools to communicate actionable insights using proprietary Ekimetrics frameworks and best practices. ·        Translate complex analytics into clear, business-oriented recommendations for senior stakeholders and C-suite clients. ·        Support clients in optimising marketing spend, understanding campaign performance, improving customer segmentation, and maximising ROI.   Client & Account Management ·        Serve as the day-to-day operational contact for clients, building trustful relationships and proactively identifying growth opportunities. ·        Present findings, recommendations, and actionable insights in client-facing workshops and executive presentations. ·        Collaborate closely with managers and partners to develop proposals for new or expanded work, aligned with Ekimetrics’ commercial offerings.   People & Project Leadership ·        Lead teams of 3–10 colleagues across multiple projects, ensuring high-quality delivery, client satisfaction, and profitability. ·        Mentor and develop junior team members, strengthening technical, analytical, and client-facing competencies. ·        Share best practices and contribute to internal knowledge management initiatives.   Practice & Business Growth ·        Identify opportunities for account growth and contribute to development with existing and prospective clients ·        Act as an ambassador of Eki culture by supporting transversal initiatives (e.g., Thought Leadership, Knowledge Management, Recruitment and Innovation. ·        Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure   Your profile Experience & Technical Skills ·        Strong 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science ·        Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. ·        Strong proficiency in Python, R, SQL, or similar tools. ·        Experience with Databricks, Azure, or other cloud/data platforms is a plus. ·        Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. ·        Experience translating data and model outputs into actionable business recommendations. ·        Comfortable handling large datasets, optimizing data pipelines, and delivering high-quality outputs   Leadership & Client-Facing Skills ·        Excellent communication and storytelling skills for senior stakeholders ·        Demonstrated ability to lead multiple project teams and manage priorities with autonomy ·        Strong strategic thinking, problem-solving mindset, and drive for continuous improvement ·        Supportive team player with a passion for talent development, coaching, and enabling team growth ·        Ability to contribute to impactful thought leadership and forward-thinking perspectives on measurement and marketing effectiveness.   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.   Career development and growth opportunities ·        Lead projects and develop advanced analytical and client-facing skills. ·        Structured career progression from Senior Analyst, Manager, Senior Manager and beyond. ·        Access to Eki.Academy, including solution-specific training, Climate School courses, and career development programs. ·        Exposure to international clients, multiple industries, and high-impact projects.   You will have access to : ·        Salary £60,000-£75,000 + Bonus 10% + Corporate bonus ·        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’ work from anywhere, remotely) ·        25 days annual leave + bank holidays, plus an additional 3 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.

GoCardless

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! THE ROLE 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. WHAT YOU’LL DO * Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. * Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. * Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. * Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. * Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. WHAT EXCITES YOU * Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. * Mentoring a high-performing team and fostering a culture of technical excellence. * Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. * Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. WHAT EXCITES US * 2+ years managing Data Scientists within complex, high-stakes domains. * A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. * A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. * Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud 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. (SOME OF) THE GOOD STUFF * Wellbeing - stay healthy with dedicated support and medical cover * Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period * Adaptive Working - allows you to work flexibly, around your lifestyle * Equity - all permanently employed GCs get equity to help you make a valuable contribution * Parental leave - to suit everyone embarking on life's great adventure * Learning Budget - lead your own development with an annual learning budget * Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’) LIFE AT GOCARDLESS   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.  DIVERSITY & INCLUSION 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%  LGBTQIA+ — 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.