Senior Data Scientist

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 Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers. As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime. You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale. WHAT YOU'LL DO * Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring. * Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers. * Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective. * Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally. * Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code. WHAT EXCITES YOU * Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments. * End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution. * Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it. * Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation. * Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures. WHAT EXCITES US * You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience. * You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling. * You have a track record of deploying models in production that create measurable value. * You can translate complex ML concepts into clear, practical solutions for stakeholders across the business. * You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.   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.

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 Senior Data Scientist 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 * Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. * Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions. * Raise the team’s collective bar through hands-on technical leadership and knowledge sharing. * Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless. WHAT EXCITES YOU * Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution. * An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges. * Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job. * Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. WHAT EXCITES US * You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience. * You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus). * You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers. * You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing. * You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.   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.