11 jobs found

Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 18 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics. Why? Refurbished tech helps lower our collective environmental impact. We have indeed contributed to avoid the production of more than 1,000,000 tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. ABOUT THE ROLE: We are looking for a strategic and highly skilled Marketing Analytics Lead to drive data-driven decision-making in our marketing initiatives. You will leverage your expertise in Marketing, Data analytics, martech & media tracking to unlock actionable insights and scale marketing strategies. This role is ideal for an analytical leader passionate about marketing data, cross-functional collaboration, and innovation. A proven record in impact measurement-such as evaluating multi-channel campaign effectiveness-is essential. If you thrive on crafting scalable data strategies and influencing decisions through analytics, keep reading-you're in the right place. YOUR MISSION (IF YOU ACCEPT IT): Marketing Analytics: Serve as the primary analytics partner for marketing managers, collaborating on our incrementality platform, measurement frameworks and data-driven strategies. Translate complex datasets into actionable insights, clearly presenting recommendations to senior leadership. Martech & Data Collection: Challenge our MarTech setup to collect, process and leverage marketing insights. Lead media tracking efforts to measure campaign effectiveness and ensure optimal ROI across channels. Ensure data quality, accuracy, and scalability while maintaining robust workflows. Analytics Engineering: Lead analytics engineers to build and optimize scalable data pipelines in BigQuery and support marketing analytics needs. Stakeholder Management: Partner with marketing, tech, product, and cross-functional teams to align data opportunities with business objectives. Maintain effective communication with stakeholders to ensure the delivery of data-driven solutions. Leadership: Cultivate the data culture and data-driven decision-making across the organisation. Lead and mentor a team of analysts, data scientists & analytics engineers to foster a high-performance culture. YOU ARE IN THE RIGHT PLACE IF: Minimum 7 years of experience in marketing analytics with proven experience in building & scaling incrementality platforms, brand measurement and media efficiency frameworks. Comprehensive knowledge of marketing strategies, including performance channels interactions, brand media, and online/offline activations. Strong understanding of web tracking and tagging strategy and implementation (GA, GTM, attribution). Proficiency with MarTech systems and their role in marketing analytics (CDP, CMP, Analytics tools, CRM platforms, MMP ). Strong ability to manage cross-functional teams and collaborate with diverse stakeholders. A proactive, results-driven approach to tackling analytics challenges in a fast-paced environment. Knowledge of data science applications for marketing, such as predictive modeling or clustering. Familiarity in BigQuery and advanced skills in data analytics. Excellent communication and project management skills, with the ability to simplify complex concepts. WHY SHOULD YOU JOIN US? A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! A meaningful company: we became a mission-driven company in January 2022. Be part of a worldwide growing company based in Europe, the USA and Asia to face great challenges: you will have the freedom to innovate and adopt new ideas! Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! Leadership Academy by Back Market: "be a coach not a dictator" is at the core of this program! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is a unique experience we take by heart. An attractive salary, equity and a host of benefits including: Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc. Remote friendly company: up to 2 days of remote work per week! One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. Be part of one of our Employee Resource Groups created around shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.

We shaped the earliest forms of ad tech, and we're looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that's where the technical skills of our team make a real difference. Our exchange handles over 500 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change. What's it like to work at Index? We have more than 550 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers. Index is an exciting and fast-paced place to work. We're built on our values of change, support, learning and teaching, trust, and intention. We pride ourselves on our independence and openness, not only in our technology, but in our teams, too. Our diverse and inclusive culture celebrates how we can leverage our unique differences to help drive Index forward. Our culture of success is truly supportive and collaborative. In working together across our teams, we're continually investing in the people and technology to solve the industry's most complex problems. As we extend the promise of ad tech to every channel, we're looking for talented engineers to help advance Index, and the industry, forward. Are you ready to join the programmatic evolution? Index Exchange funds the open web. Content and journalism across the internet are funded through advertising, and we are the engine that helps to make that happen transparently, safely and efficiently. Handling hundreds of billions of auctions per day within milliseconds requires an intense understanding of the exchange and the ecosystem that we live in. Our business is growing significantly every year and is poised to grow even faster. Our people and our platforms are the foundation and enabler of that growth. We are significantly expanding our technology teams, and are looking for technologists with a passion for high performance software development, and a drive to deliver software products and platforms that enable and empower industries at a global scale. About The Role: We're looking for a Senior Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same. Index's scale spans the globe, our transactions happen 24x7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange. In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business. What We're Looking For: Learn and understand the business vision and market opportunity for the company Work backwards from business problems to generate scientific hypotheses to guide development focus and pragmatism Use analytical, statistical and database skills to understand large, complex datasets with the aim to increase the programmatic efficiency Design, develop, and drive implementation of complex data-centric solutions, including large data set segmentation, transformation, and feature generation Clearly articulate research and development hypothesis, decisions and results Take part in the process of designing, developing & improving algorithms for automated decision making around programmatic exchange optimisation Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs Work together with ML engineers and architects to develop production grade data centric solutions An entrepreneurial spirit with room and expectations to bring innovative ideas to address the problems at hand Here's What You Need: Bachelors or Masters in Mathematics, Computer Science, Engineering, or equivalent 3+ years of experience in data science or machine learning environments that requires the combined application of statistical & technical skills Experience in data science practices in operational environments and internet scale, i.e - this is an applied position, rather than a solely research focused one Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models) Proven ability to demonstrate and articulate complex results to wide technological audience Demonstrated history of enabling advanced data modeling based guidance for technology development Experience in cross functional team cooperation to drive pragmatic technological solutions Expert in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred) Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus) Familiarity with digital marketing, advertising or analytics is a plus Work experience in complex system engineering environments is a plus Why You'll Love Working Here: Comprehensive health, dental, and vision plans for you and your dependents Paid time off, health days, and personal obligation days plus flexible work schedules Competitive retirement matching plans Equity packages Generous parental leave available to birthing, non-birthing, and adoptive parents Annual well-being allowance plus fitness discounts and group wellness activities Commuter benefits and discounts, where available Employee assistance program Mental health first aid program that provides an in-the-moment point of contact and reassurance One day of volunteer time off per year and a donation-matching program Bi-weekly town halls and regular community-led team events Multiple resources and programming to support continuous learning A workplace that supports a diverse, equitable, and inclusive environment - learn more here Notification Index Exchange is aware that there have been recent scams directed toward candidates regarding job interviews and offers. Please be vigilant and do not accept interview requests, job offers, or other hiring-related documents from anyone other than our dedicated recruitment team, from the domain Our interview process consists of several steps, including phone screens and video interviews. We do not conduct interviews via an email questionnaire or request money at any point in the process. We remain dedicated to resolving this matter and we appreciate your support. Equal employment opportunity At Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification-diversity is the human experience. For those who show grit, passion, and humility-Index will welcome you. Accessibility for applicants with disabilities Index Exchange welcomes and encourages individuals with disabilities to apply to work with us. If you require an accommodation, please share the details of your request and any information on how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process. Index Everywhere, Index Anywhere Our corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be.

At Bridebook, we're digitising the wedding industry! Join us in transforming the wedding planning experience for engaged couples around the world. Who is Bridebook anyway? Bridebook is a SaaS and Marketplace scale-up business revolutionising the wedding industry. We are proud to be the UK's number one wedding planning app and the ONLY global provider! Our mission is to make the wedding planning journey as happy as possible for engaged couples everywhere! With over 90% of the world's 7.5bn population expected to get married in their lifetime, the wedding industry is massive. It is 50% larger than the global taxi and food delivery markets combined, yet it sadly lags in digitalisation and lacks solutions for the modern-day needs of both couples and businesses. So here's Bridebook, set to disrupt the wedding industry. Our innovative platform is designed to make wedding planning effortless and stress-free. From personalised wedding checklists, budget management tools, a vast selection of venues and suppliers, and endless inspiration - you can access it all at your fingertips, on your mobile device! After recently becoming the first app of its kind to launch globally, Bridebook now enables couples to plan destination weddings anywhere in the world. This exciting expansion makes it a truly fantastic time to join us on our journey! Our team is made up of talented creative, analytical, and tech-focused minds! We've collaborated with some fantastic partners including the Natural History Museum, Hilton, the Ritz, Etsy, and Jimmy Choo, and have been featured 12 times on the App Store as well as been rated the number 1 app by Apple. Our investors are well known for supporting some previous successful unicorns such as Airbnb, Pinterest, Skyscanner, and Tesla. What will I be doing? We're seeking a skilled Senior Data Analyst / Data Scientist 12 Month Contract to join our growing team on a mission to make better data-driven decisions. You'll leverage your expertise in statistical analysis, A/B testing, and advanced analytics to uncover actionable insights, optimize processes, and contribute to the development of innovative products. You'll work closely with product, commercial, and engineering teams, so strong communication and collaboration skills are essential. If you're passionate about applying data science to solve real-world challenges, we encourage you to apply! Specific responsibilities will include: Generate data-driven insights to guide strategic decisions across the business, with a focus on operational efficiency and infrastructure. Design and implement robust testing frameworks for A/B testing and experimentation. Collaborate on advanced analytics projects, leveraging machine learning and predictive modeling for process optimization and product improvement. Partner with product managers to execute data-driven projects aligned with company goals. Collaborate with data engineers to identify and analyze opportunities for backend process improvements. Perform in-depth customer segmentation and behavioral analysis to understand user needs and preferences. Confidently & clearly communicate complex data analyses effectively to internal stakeholders, including product and commercial teams. We're looking for someone who: 3+ years of experience working in a relevant data or business intelligence field. Proven experience as a Data Scientist or Senior Analyst in a fast-paced environment. Expertise in statistical analysis, A/B testing, and experimental design. Proficiency with data tools and programming languages (e.g., SQL, Python, R). Experience working collaboratively with cross-functional teams. Experience implementing advanced analytics/machine learning/AI solutions. Excellent communication and stakeholder management skills. Proven ability to perform customer segmentation and behavioral analysis. What if you're a partial fit? We love hearing from anyone who is enthusiastic about changing the wedding industry and welcome candidates with different backgrounds and experiences! We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Benefits: 25 days of annual leave, with an extra day every year after three years (up to 30 days). Hybrid Working, we'd love to see you in twice a week, but you are free to come in more often if you'd like. £500 per year Learning and Development budget. Enhanced Family-Friendly Policies. Cycle to Work Scheme. One month fully paid Sabbatical Leave after five years in BB. 2 weeks Working From Home Near Home per year. Wedding Leave (5 days paid). Half-Day Wedding Anniversary Leave. Equity Share Options. An accessible, beautiful and dog-friendly office, with weekly breakfasts, communal lunches, alongside free snacks and more. Yearly BB Summit and quarterly events to celebrate milestones! Location: London, Hammersmith (working hybrid, minimum 2 days a week). Our values: One Team: Together we are better. Keep Accelerating: We work smart. Create Joy: We celebrate going above and beyond. Equal employment opportunity: Research shows that women, neurodiverse individuals, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! At Bridebook we are committed to creating a diverse and inclusive environment and strongly encourage you to apply. So what's next? You'll hear from our team within 2 weeks regarding your application. We believe in efficient and meaningful conversations, so you'll be happy to hear there isn't a whopping 7 stage process! That's all for now - see you on the dancefloor!

Wagestream is on a mission to bring better financial wellbeing to frontline workers. We partner with some of the world's most famous employers, like Bupa, Burger King, Greene King and the mighty NHS to give their teams access to fairer financial services - all built around flexible pay. Over three million people can now choose how often they're paid, track their shifts and earnings, start saving, use budgeting tools, get free financial coaching, and access fairer financial products. All in one financial wellbeing super-app. Wagestream is unique: VC-backed and growing at scale-up pace, but with a social conscience. Some of the world's leading financial charities and impact funds were our founding investors, and we operate on a social charter - which means every product we build has to improve financial health and reduce the $5.6bn 'premium' lower-income earners pay for financial services each year. You'd be joining a team of over 200 passionate, ambitious people, across Europe and the USA, building a category-leading fintech product and all united by that same mission. The Opportunity: At Wagestream, we're revolutionising financial wellbeing by enabling access to flexible pay solutions that empower individuals to take control of their finances. In the process of delivering our products to over a million customers, we receive approximately 20,000 support tickets per month. We are now looking for a Senior Data Scientist to embed into our Operations team and lead on challenges such as: Ticket classification - Classifying the theme and problem area for each ticket Sentiment analysis - Determine customer satisfaction at the end of each ticket, and identify areas with systematically low satisfaction Automatic resolution - Developing custom models (using LLMs and other approaches) to automatically answer and resolve tickets Staff Tooling - Developing models that provide our own team with timely answers This role will have significant independence and autonomy, and will involve using tooling, methods and products at the cutting edge of applied machine learning. This role will involve exposure to several senior stakeholders, and is a great opportunity to accelerate your career. The Team: Sitting in the operations function you will report directly to the VP of Operations while collaborating heavily with Wagestream's Engineering, TechOps and Support teams to realise impactful solutions. What will you be doing? Lead End-to-End Machine Learning Projects for Ticket Classification Design and implement ML pipelines to accurately categorise 20,000 monthly support tickets Develop and maintain taxonomies for ticket themes and problem areas Monitor and improve classification accuracy through regular model evaluations Collaborate with support teams to validate classification results Drive Customer Sentiment Analysis Initiatives Build sentiment analysis models to track customer satisfaction trends Develop dashboards and reporting systems for sentiment tracking Identify systematic patterns in customer dissatisfaction Create early warning systems for declining satisfaction metrics Develop Automated Ticket Resolution Systems Research and implement appropriate LLM solutions for ticket automation Design fallback mechanisms and confidence thresholds for automated responses Monitor and optimise automation rates while maintaining quality Ensure compliance with security and privacy requirements Create Advanced Support Staff Tools Build ML-powered tools to assist support staff in ticket resolution Develop knowledge retrieval systems for quick answer suggestions Implement predictive models for ticket prioritisation Design intuitive interfaces for tool adoption Lead Stakeholder Engagement and Project Management Present findings and recommendations to senior leadership Define success metrics and track project outcomes Coordinate with cross-functional teams including Operations and Engineering Drive data-informed decision making across the organisation Maintain Technical Excellence and Innovation Stay current with latest developments in applied ML and LLMs Evaluate and implement new technologies and approaches Document technical solutions and best practices Mentor team members on ML/AI implementation What experience might you have? Must-haves: 7+ years of experience in applied data science, including 3+ years leading ML/AI projects in production environments Demonstrated experience building and deploying NLP/LLM systems at scale, including prompt engineering and fine-tuning Track record of architecting and implementing high-volume, real-time ML systems Experience optimising business operations using AI/ML, preferably in customer service or support functions History of leading cross-functional technical projects and influencing senior stakeholders Technical Expertise: Competent Python programming with focus on production-grade code and system architecture Deep experience with modern LLM frameworks (e.g., LangChain, OpenAI API) and ML frameworks (PyTorch, TensorFlow) Proven experience with MLOps, including monitoring, maintenance, and cost optimisation of production ML systems Strong knowledge of real-time data processing architectures and high-volume system design Experience implementing and maintaining customer-facing AI systems with strict SLA requirements Expertise in A/B testing and statistical analysis for model validation in production environments Leadership & Communication: Experience presenting to and influencing C-level stakeholders Track record of leading technical teams or mentoring junior data scientists Proven ability to translate complex technical concepts for non-technical audiences History of successful collaboration with product, engineering, and operations teams System Design & Architecture: Experience designing fault-tolerant, scalable ML systems Knowledge of cloud architecture (AWS/GCP/Azure) for large-scale ML deployments Understanding of cost optimisation strategies for LLM-based systems Experience with real-time monitoring and alerting systems Nice to have: Understanding of customer support operations, ticket management systems, and support workflows Experience with support ticket classification systems Knowledge of sentiment analysis and customer satisfaction metrics Background in developing internal tooling for support teams Experience with specific support platforms (Zendesk, Intercom, etc.) Salary: Dependant on experience, from £80,000 + bonus & equity Working Policy: Hybrid, with three office days per week Benefits: 25 Days Annual Leave in addition to public holidays (up to 5 day rollover), as well as flexible time off allowances for any ad-hoc childcare/family/caring needs 10 days Annual Leave Buy-Back scheme - for if you'd like some additional time off 12 weeks paid Maternity Leave and 4 weeks paid Paternity Leave for employees with over 12 months service Special Leave for In Vitro Fertilisation (IVF) and other fertility treatments Salary sacrifice to pension, as well as bonus exchange to Pension: reap even more rewards of any bonus by paying into your pension & save on Tax and NI + added compound growth The best benefit of all, access to Wagestream! Access to Salary Sacrifice Scheme - Ben -THE Benefits marketplace.Choose the benefits you want, when you want. Pay less tax, receive more value Additional: Additional Pension Payments Workplace nurseries Cycle to Work Gym memberships Medical or Life Insurance Healthcare cash plans, etc At Wagestream we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Wagestream is an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status.

Bumble is looking for a Senior Data Scientist to join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, this means exploring our large datasets, developing statistical models and designing data-driven strategies for products that provide a safe and engaging experience for our users, and improve the way Bumble operates. With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in data science and advanced analytics along with a passion for tech. THE RECOMMENDATIONS TEAM We are part of the cross-functional Recommendations group at Bumble Inc., a team of passionate engineers, scientists, and machine learning professionals who focus on designing and building products that power our mission of "creating a world where all relationships are healthy and equitable, through Kind Connections." We partner with wider business stakeholders, Product, and other Engineering teams to build state-of-the-art recommendation systems for our portfolio of apps, including Bumble, Badoo, BFF, and Fruitz. We are passionate about improving the experience of our members through leveraging AI and Machine Learning in our products. WHAT YOU WILL BE DOING Work in a cross-functional team alongside machine learning scientists and machine learning engineers Work out where the most value is and help set up frameworks for evaluating algorithmic improvements Set up and conduct large-scale experiments to test hypotheses and drive product development Assess impact of algorithm changes on marketplace dynamics Partner with business functions and engineering teams to help frame problems into scalable AI solutions and solve key problems by leveraging the large and complex datasets at our disposal Collaborate with Product Management to establish roadmaps and define key metrics to optimise for alignment with Bumble's strategic objectives Drive a culture of insightful storytelling across the business Keep up with state-of-the-art research with the opportunity to create prototypes for the business and present at top conferences WE'D LOVE TO MEET SOMEONE WITH A degree in Computer Science, Mathematics or a similar quantitative discipline like economics or social science Strong statistical modelling background - hypotheses testing, inference, regressions, random variables Comfortable presenting back to technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks Comfortable with Python data science libraries such as pandas, scikit-learn, numpy, statsmodels Strong SQL experience including analytic functions, performance tuning, data wrangling Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders Ability to combine business intuition with the application of advanced solutions A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities A curious mind, self-starter and endlessly keen to learn and develop themselves professionally AN ADDED BONUS IF YOU HAVE An understanding of multi-sided markets and/or dating problem space Experience in using advanced statistical methods to solve problems. This can either be through academic projects and publications, or experience analysing and solving problems within industry Understanding of Machine Learning development lifecycle Hands-on experience in delivering Machine Learning models A basic knowledge of software development life cycle processes and tools - ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworks

Senior Research Scientist (Foundational Research, Machine Learning) Are you a curious and open-minded individual with an interest in state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking a Senior Research Scientist with a passion for solving challenging machine learning problems in a data-rich, complex academic environment. About the Role In this opportunity, as Senior Research Scientist you will: Innovate: You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available. Experiment and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, building, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. About You You're a fit for the role if your background includes: Required Qualifications: PhD student or recent graduate with research experience in a technical discipline. First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, or similar. Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability to work with limited supervision. Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred Qualifications: Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc. Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Previous experience working on large-scale machine learning systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country. Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact. Purpose Driven Work: We help uphold the rule of law, turn the wheels of commerce, and provide trusted, unbiased information to people all over the world. Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward. Accessibility As a global business, we rely on diversity of culture and thought to deliver on our goals. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. TRAVEL PARTNERSHIPS AND MEDIA Travel Partnerships and Media helps partners deliver excellent traveler and B2B experiences, driving growth for them and the EG marketplace through competitive supply, a valued advertising and travel media network, and affiliate solutions. Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. The Senior Product Manager role sits within the Partner Product division of Expedia Group which supports the rapidly growing Media Solutions advertising business. The team develops and optimizes a range of media products, including sponsored listings for lodging and flights partners and native display advertising solutions. In this role, your expertise and passion for data, machine learning science and AI will improve the experience of millions of travelers and travel partners each year. You will make strategic decisions on how to foster a marketplace that optimizes for partner value, traveler relevancy, and ad monetization. The position will work closely across multiple teams in an area critical to Expedia Group's growth and profitability goals. In this role you will: Lead development of machine learning models powering automated bidding capabilities, collaborating with an auction team comprised of highly skilled machine learning scientists and data & software development engineers. Leverage data-driven insights and market research to identify new product opportunities and optimize existing offerings to meet our partners' needs. Create and maintain a clear product roadmap, in partnership with Engineering, Experience Design, Analytics, and other teams, to align with business goals. Monitor model performance and iterate based on user feedback and data analytics to launch model improvements which realize value for partners, travelers and Expedia Group. Lead the successful launch of new ML-driven/AI-powered advertising products, features, and capabilities from concept to market introduction. Who you are: 5+ years of experience as a Product Manager, with a strong background in machine learning and/or AI. Strongly preferred: You have experience working in an ecommerce or paid search/advertising environment and have a demonstrated understanding of auction mechanics. You have a proven track record of teaming with machine learning scientists and engineers on large-scale product opportunities. Comfortable with collecting and analyzing data from a variety of sources, identifying key insights, defining product optimization opportunities and informing business decisions. Demonstrated ability to clearly and concisely communicate often complex results, concepts and opportunities to executives and cross-functional teams. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

About Fresha Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide . Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide , processing over 1 billion appointments to date . The company is headquartered in London, United Kingdom , with 12 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive subscription-free business software and financial technology solutions. Fresha's ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management. The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram , Facebook and Google. Role overview Given our exciting growth plans, we are looking for an exceptional Senior Finance Analyst to partner with our finance teams, especially our VPs of Accounting and Finance Strategy, to drive our financial strategy, scenario modelling, audit and accounting processes using our data platform. Your expertise will guide us in growing our revenue, making us more profitable, keeping us compliant, raising capital and identifying commercial opportunities across the business. Reporting into the Lead Commercial Analyst and working closely with Finance professionals, other Analysts, commercial teams, marketers and product managers, you will create data models, data products, metrics and find insights that fuel our growth and uncover new ways of thinking. This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Accountabilities Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time Discover and prioritise new use cases for data science techniques across Fresha's product and workflows Prioritise your roadmap for maximum impact across different functions Mentor and coach an existing team of junior data scientists Collaborate closely with product, engineering, marketing and commercial teams to bring data science techniques to life You'll also work with the rest of the analytics team to find robust data sources and leverage existing capabilities, then develop new architectures only where needed. Key skills Technical Skills: You should be highly proficient with programming languages such as Python/ R and SQL. You should also have extensive experience with data mining, mathematics, and statistical analysis, with the capability to derive actionable insights from complex data sets. ML: You should have demonstrable experience applying data science methods to real-world data problems, particularly in building, deploying, and optimising machine learning models across a variety of projects. Commercial: You need a strong understanding of how data science fits into the wider business context, with the ability to use data insights to influence commercial strategies and decision-making. Your insights should be directly tied to improving business KPIs with ML models. Communication: Exceptional communication skills are needed. You should be comfortable explaining complex data insights in simple terms and persuasively communicating your findings to influence strategic decisions. Motivation: The ideal candidate is ambitious, determined, and self-motivated, able to navigate the fast-paced and dynamic environment at Fresha. Your ability to stay motivated, navigate challenges, and drive forward our analytics offering will be crucial for your success Preferred but not required: Familiarity with dbt and other data analysis tools would be a bonus Bonus points: Experience using cloud notebooks and AWS containerisation Experience with Streamlit Experience working in fast-paced scale ups Inclusive workforce At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable. We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment. We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.

Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 18 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics. Why? Refurbished tech helps lower our collective environmental impact . We have indeed contributed to avoid the production of more than 1,000,000 tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. ABOUT THE ROLE: We are looking for a strategic and highly skilled Marketing Analytics Lead to drive data-driven decision-making in our marketing initiatives. You will leverage your expertise in Marketing, Data analytics, martech & media tracking to unlock actionable insights and scale marketing strategies. This role is ideal for an analytical leader passionate about marketing data, cross-functional collaboration, and innovation. A proven record in impact measurement-such as evaluating multi-channel campaign effectiveness-is essential. If you thrive on crafting scalable data strategies and influencing decisions through analytics, keep reading-you're in the right place. YOUR MISSION (IF YOU ACCEPT IT): Marketing Analytics: Serve as the primary analytics partner for marketing managers, collaborating on our incrementality platform, measurement frameworks and data-driven strategies. Translate complex datasets into actionable insights, clearly presenting recommendations to senior leadership. Martech & Data Collection: Challenge our MarTech setup to collect, process and leverage marketing insights. Lead media tracking efforts to measure campaign effectiveness and ensure optimal ROI across channels. Ensure data quality, accuracy, and scalability while maintaining robust workflows. Analytics Engineering: Lead analytics engineers to build and optimize scalable data pipelines in BigQuery and support marketing analytics needs. Stakeholder Management: Partner with marketing, tech, product, and cross-functional teams to align data opportunities with business objectives. Maintain effective communication with stakeholders to ensure the delivery of data-driven solutions. Leadership: Cultivate the data culture and data-driven decision-making across the organisation. Lead and mentor a team of analysts, data scientists & analytics engineers to foster a high-performance culture. YOU ARE IN THE RIGHT PLACE IF: Minimum 7 years of experience in marketing analytics with proven experience in building & scaling incrementality platforms, brand measurement and media efficiency frameworks. Comprehensive knowledge of marketing strategies, including performance channels interactions, brand media, and online/offline activations. Strong understanding of web tracking and tagging strategy and implementation (GA, GTM, attribution). Proficiency with MarTech systems and their role in marketing analytics (CDP, CMP, Analytics tools, CRM platforms, MMP ). Strong ability to manage cross-functional teams and collaborate with diverse stakeholders. A proactive, results-driven approach to tackling analytics challenges in a fast-paced environment. Knowledge of data science applications for marketing, such as predictive modeling or clustering. Familiarity in BigQuery and advanced skills in data analytics. Excellent communication and project management skills, with the ability to simplify complex concepts. WHY SHOULD YOU JOIN US? A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! A meaningful company: we became a mission-driven company in January 2022. Be part of a worldwide growing company: based in Europe, the USA and Asia to face great challenges: you will have the freedom to innovate and adopt new ideas! Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! Leadership Academy by Back Market: "be a coach not a dictator" is at the core of this program! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is a unique experience we take by heart. An attractive salary, equity and a host of benefits including: Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc. Remote friendly company: up to 2 days of remote work per week! One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. Be part of one of our Employee Resource Groups created around shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.