Data Scientist - Acquisition TechnologyJoin iwoca's dynamic Acquisition Technology team in London, where we empower small businesses with innovative financial solutions.About iwocaAt iwoca, we understand that small businesses operate at a fast pace. Opportunities can arise unexpectedly, and cash flow pressures can surface without warning. To thrive and expand, SMEs require financing that is as adaptable and responsive as they are.With our cutting-edge technology, data science expertise, and dedicated customer service, we enable business owners to act swiftly and confidently, precisely when they need it. We've already provided over £4 billion in funding to more than 100,000 businesses. Our committed team is on a mission to help even more SMEs succeed, aiming to support one million businesses in their pivotal moments, thereby creating a lasting positive impact on their communities and economies.Role OverviewAs a Data Scientist within the DE Acquisition Tech team, you will play a pivotal role in shaping iwoca's growth strategy. Your responsibilities will include designing and assessing experiments, developing statistical and predictive models, and translating complex datasets into actionable insights. You will manage projects from inception to completion, collaborating closely with stakeholders to ensure alignment with broader business objectives. The models and insights you create will have a direct impact on our sales and marketing investments, providing you with significant visibility and influence across the organization.Team DynamicsThe DE Acquisition Tech team is integral to iwoca’s growth. Our mission is to help Marketing and Sales connect with diverse small businesses, showcasing how our financial solutions can fuel their aspirations. By integrating engineers, product managers, designers, and data scientists, we function as a cohesive unit, driving strategies that yield tangible commercial results.

Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.

Shift Technology stands as the premier AI platform dedicated to revolutionizing the insurance sector. By integrating generative, agentic, and predictive AI, Shift enhances underwriting, claims management, fraud detection, and risk assessment, all while fostering operational efficiency and delivering outstanding customer experiences. Our proven solutions have earned the trust of the world's foremost insurers, allowing us to provide AI-driven insights at scale and with impactful results.Our workplace culture thrives on innovation, trust, and a shared mission to redefine the insurance landscape through our SaaS offerings. With a team representing over 50 diverse nationalities, we are collectively shaping the future of insurance.As a recent graduate, you’re eager to embark on your first full-time Data Science career.In this role, you will engage with a wide range of challenges, contributing to the design and enhancement of our products focused on fraud detection, anti-money laundering, and claims automation. You’ll collaborate with a team rich in technical proficiency and professional knowledge, encompassing data science, data engineering, coding, business acumen, and client interaction. The role entails working with various data types, including structured data, unstructured text, documents, and images.This position is ideal if you’re looking for a permanent role and can commute to our London office 2-3 days a week. Shift Technology is the perfect launchpad for your career journey!

At Wayve, we are dedicated to fostering a diverse, equitable, and respectful culture that welcomes individuals from all backgrounds, valuing their distinct skills and viewpoints, irrespective of sex, race, religion, ethnicity, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, or any other characteristic protected by law.About UsFounded in 2017, Wayve stands at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate complex environments, significantly enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives global progress. Our intelligent, mapless, and hardware-agnostic AI solutions are crafted for automakers, propelling the shift from assisted to fully automated driving. In our dynamic environment, we thrive on tackling big challenges and embrace uncertainty to unlock innovative solutions. Our commitment to high standards and continuous learning fuels our mission to create a smarter, safer future.Your contributions at Wayve are valued. We prioritize diversity, welcome new perspectives, and cultivate an inclusive work atmosphere where we support each other in making an impact.Join Wayve and define your career experience!As a Data Scientist in the Experimentation and Product team, your primary focus will be generating robust, actionable insights that guide our product, data, and research teams in prioritizing current efforts and identifying future opportunities.Instead of relying on black-box models to optimize machine learning performance, you'll employ experimental and causal inference methods to deliver statistically sound and highly interpretable findings. This role presents a unique opportunity to lead data science methodologies in a complex and innovative area within autonomous vehicles (AV).Your responsibilities will include:Developing frameworks to effectively synthesize complex video and simulation data, facilitating analytics-driven strategies from individual product teams to the company level.Formulating and refining the performance metrics essential for measuring success in the evolving AV landscape.Introducing and implementing innovative experimental techniques aimed at improving the signal-to-noise ratio and expediting feedback cycles.

Join Almedia as a Data Scientist, where you will play a crucial role in transforming data into actionable insights. Collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and support data-driven decision-making.

Join our dynamic team at Axle Careers as a Data Scientist, where you will leverage your analytical skills to extract meaningful insights from complex datasets. You will collaborate with cross-functional teams to develop innovative data-driven solutions that enhance business performance and drive strategic decision-making.

About the RoleJoin Teza Technologies as a Data Engineer in our dynamic data team, where data is the heartbeat of our systematic trading and vital to every facet of our operations.This hands-on role within a growing team of data engineers offers significant potential for career advancement, as we anticipate rapid growth over the coming years. We seek candidates with exceptional technical expertise, meticulous attention to detail, and a proven track record in architecting and developing robust data platforms.LocationHybrid role based in London, UK, with a requirement of 3 days in-office each week.Key ResponsibilitiesCollaborate with Portfolio Managers and Quantitative Developers to translate business needs into effective technical solutions while providing insights into dataset intricacies.Enhance our data warehouse by designing and integrating new data sources and functionalities; boost system reliability, speed, and scalability while overseeing data access management.Contribute innovative data management, analytics, and technological insights to the team and leadership.Assess and recommend new tools and technologies for organizing, querying, and streaming extensive datasets.Create and implement automated systems for data cleansing, anomaly detection, monitoring, and alerting.Provide support for our production data warehouse as needed.Cultivate and maintain strong vendor partnerships aligned with our business objectives.Essential QualificationsProficiency in Python and Unix/Linux for data manipulation, scripting, and automation.Deep understanding of SQL and familiarity with NoSQL databases, especially Postgres and MongoDB, with skills in query optimization and performance tuning.Strong grasp of data modeling principles, including both normalization and denormalization techniques.Experience with cloud platforms, such as AWS or GCP.Familiarity with Git version control, collaborative workflows (e.g., Github), and CI/CD best practices.Bachelor’s degree in Computer Science, Information Technology, or a related field.Preferred Qualifications...

Join Spotify's innovative team as a Data Scientist in our Subscriptions division! We are looking for a passionate individual who can leverage data to drive impactful decisions and enhance our subscription offerings. You will collaborate with cross-functional teams to analyze data trends, develop predictive models, and contribute to our mission of delivering exceptional user experiences.

Join degree6 as a Data Scientist specializing in the fintech sector, where you will leverage your analytical skills to drive innovation and insights. You will be pivotal in developing data-driven solutions that enhance financial services and contribute to the evolution of our products.

At Wayve, we are dedicated to fostering a diverse and respectful culture that is inclusive of all individuals, valuing their unique skills and perspectives, irrespective of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, pregnancy or related conditions (including breastfeeding), or any other protected characteristic.About UsEstablished in 2017, Wayve stands at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate intricate environments, significantly enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives progress. Our intelligent, mapless, and hardware-agnostic AI solutions are tailored for automakers, facilitating the shift from assisted to fully automated driving. In our dynamic setting, we thrive on tackling significant challenges—embracing uncertainty and striving for innovative solutions. We pursue excellence with humility, continuously evolving as we chart the course for a smarter, safer future.At Wayve, your contributions are valued. We celebrate diversity, welcome new perspectives, and cultivate an inclusive work environment where we support each other to drive impactful results.Join Wayve and make it the defining experience of your career!As a Data Scientist in the Experimentation and Product group, your role will be pivotal in generating robust, actionable insights that guide our product, data, and research teams in prioritizing current efforts and identifying future opportunities.Rather than relying on opaque models to enhance machine learning performance, our data scientists focus on employing experimental and causal inference methods to produce statistically sound and interpretable findings. This presents a thrilling opportunity to pioneer data science methodologies in the evolving landscape of automated vehicles.In this position, you will:Develop frameworks that effectively synthesize our intricate video and simulation data, facilitating analytics-driven strategies from individual product teams to the company level.Define and refine the performance metrics that Wayve should emphasize to accurately measure success in the evolving AV landscape.Innovate and implement experimental techniques to enhance signal-to-noise ratios and accelerate feedback cycles.

Join degree6 as a Data Scientist in the fast-paced world of fintech. In this pivotal role, you will leverage your analytical expertise to drive data-driven decisions, enhance product features, and create innovative solutions that solve real-world financial challenges. You will work in a collaborative environment, engaging with cross-functional teams to deliver impactful insights and contribute to the advancement of cutting-edge financial technologies.

We are seeking a highly skilled and innovative Lead Data Scientist to join our dynamic team at Faculty. In this role, you will leverage your expertise in advanced analytics and machine learning to drive impactful data-driven solutions. You will lead a team of talented data scientists, guiding them in the development of predictive models and analytical frameworks that support our mission to optimize outcomes across various sectors.

About GoCardlessGoCardless is a pioneering global bank payment platform that empowers over 100,000 businesses, ranging from innovative startups to established brands, to seamlessly collect and send payments through direct debit, real-time payments, and open banking.With an impressive annual processing volume exceeding US$130bn across more than 30 countries, we facilitate both recurring and one-off payments, alleviating the burdens of follow-ups, stress, and high fees. Our AI-driven solutions enhance payment success rates and minimize fraud risks. Additionally, our open banking integration with over 2,500 banks enables our customers to make faster and more informed financial decisions.Headquartered in the UK, with offices in London and Leeds, we also have a presence in Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and are dedicated to making our hiring process inclusive and accessible. If you require any adjustments or additional support, please reach out to your Talent Partner — we are here to assist you!Remember, we do not expect you to meet every single requirement. If you are enthusiastic about this role, we encourage you to apply!The RoleData is at the heart of our mission. We utilize bank account information to deliver intelligent payment solutions, enhancing payment success rates and preventing payer fraud.As a Senior Data Scientist in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to transform innovative concepts into reality. You will be responsible for the complete lifecycle of our algorithms, from the initial idea to the production-ready code that drives our global payment network.Our tech stack is centered around Google Cloud Platform and Vertex AI, creating a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy high-performance models at scale.Key ResponsibilitiesLead the comprehensive delivery of models at scale, from initial discovery and feature engineering to production, A/B testing, and ongoing monitoring.Collaborate with cross-functional teams to design and implement advanced data-driven solutions.

Role overview Wise seeks a Lead Data Scientist for the Trust and Safety team in London. The main focus is protecting the platform and its users by applying advanced analytics to financial security challenges. This position involves tackling real-world risks and helping to keep Wise’s services safe for everyone. What you will do Analyze large and complex data sets to identify trends and detect suspicious activity Develop and improve models that reduce risk and prevent fraud Collaborate with stakeholders to guide strategic decisions through data-driven insights Shape new methods to strengthen platform security and build user trust Impact The work in this role directly supports Wise’s goal of making money transfers seamless and secure. Efforts here influence how Wise protects its customers and upholds the integrity of its services.

Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.

Join DeepL as a Senior Data ScientistDeepL is a pioneering AI product and research organization dedicated to crafting secure, intelligent solutions to tackle complex business challenges. With a clientele of over 200,000 businesses and millions of users in 228 global markets, our Language AI platform is relied upon for its human-like translations, enhanced writing capabilities, and real-time voice translation.Founded in 2017 by CEO Jarek Kutylowski, DeepL now boasts a talented team of over 1,000 individuals and backing from esteemed investors like Benchmark, IVP, and Index Ventures. Our mission is to lead the global AI technology space by developing products that enhance communication, foster connections, and make a significant impact on society. We seek passionate professionals ready to innovate and grow their careers in a dynamic and purpose-driven environment.What Makes DeepL UniqueAt DeepL, we blend cutting-edge AI technology with meaningful work in a culture that champions individual growth. Our team of innovators, researchers, and creators shares a vision to unlock human potential by making work more efficient, smarter, and interconnected.Our employees frequently express positive sentiments about their experiences at DeepL, attributing it to our impactful technology and the values of trust, curiosity, and care that permeate our culture.Joining DeepL means becoming part of a dedicated team committed to innovation, growth, and employee well-being. Explore more about life at DeepL on our LinkedIn, Instagram, and Blog.

Join our dynamic team at Trainline as a Data Scientist, where you will leverage data to drive insights and influence strategic decisions. You will work with cross-functional teams to develop models that enhance our customer experience and optimize our operations. If you have a passion for data and want to make a real impact in the travel industry, this is the opportunity for you!

About ZegoAt Zego, we believe that traditional motor insurance can be a barrier for exemplary drivers. It's often too complex, costly, and fails to accurately reflect real driving behavior.Since our inception in 2016, we've dedicated ourselves to transforming the insurance landscape. Our goal is to provide the most affordable insurance options for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, is at the core of our operations.Having successfully sold tens of millions of policies and secured over $200 million in funding, we are just getting started on this exciting journey.Your RoleWe are in search of a Lead Data Scientist to join our Core Pricing team, reporting directly to the Head of Data Science. You will play a critical role in shaping and executing a high-performance data-science operating model, swiftly transforming concepts into production-ready pricing and risk models.Key ResponsibilitiesLead the development and enhancement of next-generation risk models, managing all aspects from innovative feature discovery and sophisticated modeling to dependable pipeline deployment and strategic R&D initiatives.Implement a robust Data Science workflow: ensuring clear guidelines, templates, and documentation throughout the project lifecycle.Accelerate the idea-to-production timeline: from initial data acquisition to live rate adjustments.Promote a culture of collaborative experimentation: integrating Pricing, Data Science, Machine Learning Engineering, and Systems Engineering.Team leadership and mentorship: oversee a team of 2 Data Scientists, guiding their professional growth and development.Establish coding standards and best practices, mapping common processes and creating playbooks.Assist in selecting tools utilized throughout the Data Science project lifecycle.

Are you passionate about data and eager to drive innovation? Join Hudl as a Lead Data Scientist and take the reins in shaping data-driven strategies. In this role, you will leverage advanced analytics to enhance performance across various teams and projects, while mentoring junior data scientists to foster their growth.

About AboundAt Abound, we are revolutionizing consumer lending across the UK and beyond. By leveraging cutting-edge AI and Open Banking data, we provide fair and affordable personal finance solutions to a broader audience. Unlike traditional lenders who primarily rely on credit scores, we take a holistic view of each customer's financial landscape—considering spending habits and repayment capabilities to create a more nuanced understanding of their unique situation.Our approach has proven successful at scale: we have issued over £1.3bn in loans directly to customers, achieving market-leading credit performance. For every 10 defaults expected in the industry, we experience only 3. Furthermore, we achieved profitability just 2.5 years post-launch.With backing from over £2bn in funding from prestigious investors such as Citi, GSR Ventures, and Deutsche Bank, we are recognized as one of Europe’s fastest-growing fintech companies (Sifted, CNBC). As we expand into new markets and product lines, we seek ambitious individuals eager to learn, take ownership, and grow alongside us.About the Role:We are on the lookout for a proactive and motivated Technology Talent Acquisition Partner to help us scale our operations. In this pivotal role, you will shape our technical organization by building robust talent pipelines through proactive sourcing and collaborating closely with hiring managers to attract exceptional talent. This is not merely about filling positions; it is about assembling the team that will drive our next phase of growth.Responsibilities:Oversee full-cycle recruitment across various functions, including sourcing, screening, interviewing, and negotiating offers.Proactively identify and engage top-tier technical talent via LinkedIn and other sourcing platforms.Collaborate closely with hiring managers to define role requirements and hiring strategies while building a strong candidate pipeline.Provide an outstanding candidate experience, ensuring accurate and timely updates in our ATS (we utilize Ashby) throughout the hiring process.Monitor hiring metrics and deliver regular insights to stakeholders.Contribute to employer branding initiatives and assist in creating engaging recruitment content.Support onboarding processes to facilitate a smooth transition for new hires.Who You Are:1–3 years of experience in recruitment, preferably within technology.Strong communication and interpersonal skills.Ability to thrive in a fast-paced environment and adapt to changing priorities.