
Zopa · London
Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we la...
Our Story
Hello there. We’re Zopa.
We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com!
We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces.
If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife
The role
We’re looking for a Senior Product Analyst to join our AI Tribe. This is a hands-on, builder-style role for someone who thinks in experiments, writes code daily, and is as comfortable building a prototype evaluation framework as they are presenting findings to a product lead.
The role is technical at its core: you’ll be writing SQL and Python to dig into enrichment performance, building evaluation pipelines to test AI-driven approaches, and prototyping experiments that push the accuracy of our transaction intelligence forward. At the same time, this isn’t a data science role — you’ll be expected to prioritise ruthlessly, move fast, and care about outcomes, not just model performance.
The AI tribeThe AI Tribe sits at the heart of how Zopa turns data into intelligent products. We build and evolve the capabilities that transform raw transaction data, Open Banking data, and other behavioural signals into reliable, structured intelligence.
A core focus of the tribe is transaction intelligence — how raw transaction data is enriched, categorised, structured, and made usable across the business. This includes merchant and category enrichment, data quality and consistency, and ensuring transaction data integrates cleanly into our broader data models and customer-facing products.
As we move toward more AI-first ways of working, the tribe is also rethinking how transaction data should be accessed and used — not just by analysts and product teams, but by AI systems and LLM-powered tools. The work is foundational and long-term in nature: improving systems, shaping strategy, and building capabilities that compound in value over time.
About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making. About the Role As our Senior Product Data Scientist, you will be the cornerstone of our advanced analytics capability. This is more than a technical role; it's a high-impact position designed to shape the future of our product by embedding deep, quantitative intelligence into its core. You will help set the vision for how data science can solve our most challenging problems. You will act as a catalyst, mentoring a talented team of product analysts while spearheading the development of models and frameworks that drive our product strategy forward. What You will do: * Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. * Use your knowledge and experience to help scale the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. * Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations. * Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through POC to then drive to adoption. * Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product. * Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions. * Guide and mentor other product analysts in best practices for experimentation, modeling, and data-driven product development upskilling the team and defining the roadmap for Product Data Science. * Communicate complex data insights to both technical and non-technical stakeholders with clarity and influence. Skills & Experience: * Experience: Significant experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Advanced proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering). * Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. * Strategic Influence: A proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design teams). * Scaling Impact: Experience scaling your impact through the creation of automated processes, self-service tools, or data products. * Critical Thinking: Your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Nice to Haves: * Advanced programming background with the ability to build simulations and prototype data products. * Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). * Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. * Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling. * Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #LI- Remote #LI-SM1
About Tripadvisor We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making, and drive measurable business impact. About the role: As a Senior Manager of Product Data Science, you will be a key leadership figure within the Product Data Science organisation, responsible for building and scaling a high-performing team of Analysts and Data Scientists embedded within Product domains. You will not only deliver impact through your team, but also raise the overall analytical and technical bar of the organisation, ensuring data science, experimentation, and product analytics are consistently applied at a high standard across multiple product areas. You will act as a force multiplier for decision-making quality, improving how Product, Engineering, Design, and Commercial teams use data to shape strategy, prioritise work, and evaluate impact. What You’ll Do * Lead, develop, and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards, and clear ownership of impact. * Drive effective goal-setting, planning and execution processes across Product Data Science, bringing leadership and discipline to OKRs, prioritisation and delivery against strategic objectives. * Set and continuously raise the bar for analytical quality, experimentation rigour, and data science application across your teams, ensuring outputs are robust, actionable, and decision-oriented. * Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. * Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded in strategic decision-making. * Translate ambiguous business problems into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations. * Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams. * Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. * Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem. * Build and evolve the team’s capability through hiring, coaching, and performance management, ensuring strong technical depth and leadership within the function. * Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes, ways of working and organisational effectiveness across Product Data Science while leading change that enables the team to scale. * Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline. Skills & Experience * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). * Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch. * Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). * Scaling Impact: Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products. * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. * Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority. * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: * Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation. * A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. * Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. * Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness. * Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions. * A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join. #LI-Hybrid #LI-SM1
Who We Are? It's an amazing time to join Dalet as we continue to shape the future of media production, management and distribution. Mature and stable like a large corporation, yet agile and growing like a start-up, Dalet is the perfect place for talented, internationally minded and highly motivated individuals looking to join a very dynamic company where things get done! Dalet empowers media-rich organizations to transform their production and distribution workflows – accelerating media operations, maximizing collaboration and creating higher value from content. As a leading media technology and service provider with over three decades of innovation, our software solutions enable greater control, enhanced visibility and increased productivity for content professionals and storytellers around the globe. Leading organizations such as Fox Networks Group, Arsenal Football Club, MediaCorp, Audi, and the BBC trust Dalet to support their daily content operations. Our team is driven by a passion for media and committed to empowering a world where compelling stories are beautifully made, effortlessly told and thoughtfully delivered. Learn more at www.dalet.com [https://www.dalet.com/]. Top Reasons to Join Us? * Revolutionize a big industry in a dynamic, fast-growing, yet mature, company * Benefit from great career opportunities around the world * Make the most of a truly collaborative environment with supportive leadership * Evolve with cutting edge technologies (AI, Cloud, Cybersecurity…) * Collaborate with talented and passionate team members * Enjoy a fun working environment Who You Are? You would be a strategic force multiplier at the intersection of design, data and engineering, helping drive Dalet's evolution into a product-focused, design-led organisation. You would span the full design spectrum, from data-driven discovery to shipping enterprise-grade interfaces, while building Dalet's first unified design system across Flex, Pyramid and Dalia. What You’ll Do? * Drive full-spectrum discovery: lead user research, run qualitative interviews and analyse quantitative product data to shape execution. * Build the system: scale foundational patterns from the recent pilot into a comprehensive, token-driven component library. * Execute enterprise UI: turn complex, data-heavy workflows into clean, intuitive, responsive enterprise layouts. * Raise the bar: maintain pristine file hygiene, ensure design output conforms to WCAG 2.2 AA, and mentor team members. What you'll we need to be successful? * Advanced Figma engineering (auto-layout, variables, code-aware component systems) * Active use of generative AI/automation tooling * Strong cross-functional communication with product and engineering * Ability to mentor and raise team craft. Please provide a portfolio along with your resume Dalet is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. We have a strict PSL in place. We only accept applications from agencies that have been invited to work on the role. Candidates’ resumes submitted directly to managers or HR will be considered unsolicited and no fee will be payable.