29 jobs found

Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax

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!

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, andtogether we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, andtransport. Our teams operate globally from offices across theUK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Architect Integration Solutions : Design, implement, and optimise end-to-end integration solutions that ensure efficient data exchange and process orchestration across various systems, applications, and platforms. Middleware and Integration Platforms : Select and implement integration platforms (e.g., MuleSoft, Dell Boomi, Azure Integration Services) to facilitate seamless communication between on-premise and cloud-based systems. API Design and Management : Develop and manage APIs and microservices architectures to enable scalable and secure integrations between internal systems, partners, and third-party applications. System Interoperability : Ensure seamless communication between systems by using industry-standard integration methods such as RESTful APIs, SOAP, messaging queues, and enterprise service buses (ESB). Data Integration and Transformation : Ensure data consistency and accuracy across systems through effective data mapping, transformation, and synchronisation, using technologies such as ETL (Extract, Transform, Load) processes. Integration Strategy and Governance : Define the integration strategy, standards, and best practices for clients, ensuring that integrations are secure, scalable, and cost-effective while meeting business requirements. Collaboration with Stakeholders : Work closely with business leaders, development teams, and IT teams to understand integration needs, document requirements, and deliver solutions that align with organisational goals. Security and Compliance : Implement security best practices in all integration solutions, ensuring that data is protected and that integrations comply with relevant regulations such as GDPR, HIPAA, and other industry standards. Documentation and Training : Document integration architectures, workflows, and processes for future reference, and provide training and guidance to development teams and end-users as needed. Flexible working - We are guided by our client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance. Qualifications Experience : 1-2 years of experience in integration architecture, system design, or software architecture, with a focus on enterprise systems integration. Proven experience with integration platforms like MuleSoft, Dell Boomi, Azure Integration Services, IBM Integration Bus, or similar. Strong background in API design and management, with experience in REST, SOAP, GraphQL, and related technologies. Technical Skills : Experience with middleware technologies, message brokers (e.g., Kafka, RabbitMQ), and ESB (Enterprise Service Bus) architectures. Proficiency in integration patterns, such as publish/subscribe, message queuing, event-driven architectures, and orchestration/choreography patterns. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and hybrid cloud integration strategies. Knowledge of data formats and standards such as XML, JSON, and EDIFACT, as well as experience with ETL processes. Familiarity with microservices, containers (Docker, Kubernetes), and serverless architectures. Soft Skills : Strong problem-solving skills and attention to detail, with the ability to design effective, scalable, and secure integration solutions. Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Ability to prioritise tasks, manage multiple projects, and meet deadlines in a fast-paced environment. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

D&G (Domestic & General) is an ambitious data and technology-powered business. Customer, Business and People Data are essential, to build trust in critical data to make better, faster decisions. About the role This senior data scientist role is to deliver high quality data science solutions to complex business problems. Working across machine learning and other projects, the role is technical in nature but with business value as a key deliverable. The role holder should be able to own key projects end to end independently from the scoping to the delivery. This person is expected to contribute to the development of and mentor more junior colleagues, sharing their knowledge across the team frequently. Responsibilities Deliver impactful and effective machine learning projects to support the commercial success of the business by applying advanced data science techniques. Evolve and continuously improve the company's data science models using advanced analytic and machine learning techniques. Contribute to the ongoing development of the overall data science strategy. Be a key contributor to the ongoing development of the decision science team, supporting other team members in their development. Understand business problems and develop solutions to solve them both collaboratively and independently. Ensure models created are fair to the customer both in input, modelling and output. Requirements As a senior data scientist, the role holder will need strong machine learning, statistical and programming knowledge. You should be an expert in and promote the best data science practices. A master of industry standard modelling techniques. Understand and utilise cloud platforms such as AWS and Databricks. As well as some data engineering and data mining skills. In-depth knowledge of multiple projects within the team's domain as well as the ability to intersect with other business functions. Good commercial acumen understanding many aspects of how an insurance company works across multiple domains, as well as key drivers of performance. We offer lots of great benefits! Some of which include: Competitive salary and annual discretionary bonus. 25 days annual leave plus bank/public holidays, as well as an annual option to buy up to 5 additional days of annual leave. Training opportunities as well as clearly defined career progression. Health cash plan - employer funded cover to enable you to claim money back on essential healthcare costs, including dental, optical, physiotherapy and many more. Cover also includes unlimited access to a 24/7 virtual GP service. Attractive company pension scheme. Life assurance - employer funded cover of 4x basic salary. Dedicated online benefit portal offering access to saving and lending facilities, financial wellbeing and support services. Salary Finance - access to savings and borrowing through payroll. Car Leasing - access to a carbon neutral salary sacrifice car leasing scheme, with an all-inclusive monthly cost covering all charge, taxes, insurance, repairs and maintenance on a range of brand new vehicles. Travel Loans - interest free loans to help spread the cost of annual travel tickets. Cycle to Work - tax efficient bike and cycling equipment worth up to £1,000. Health & Wellbeing - discounted gym membership, online virtual workout sessions, online culinary classes. OnHand - Giving you the opportunity to be an Eco & Social volunteer via a handy app. Volunteer individually or in groups to get involved in Youth Mentoring, Food Poverty, Homelessness & Elderly help. Employee Assistance Programme - specialist advice and support on issues such as finance, relationships, illness and family issues. Free Domestic & General protection plan - one free plan each year with access to discounted rates of up to 50% on additional plans, including referrals for family and friends. Employee discounts - access to discounted Sky TV and broadband packages, together with a range of discounts for 100s of online and high street retailers. Domestic & General are an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please note that we have a thorough referencing process, which includes criminal record checks. At Domestic & General, we are proud of our 100-year legacy and excited about our future growth plans. We are expanding our horizons, entering new markets and territories internationally and we need your expertise to help us on the journey.

Senior / Principal Consultant - Water Sector We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. On the back of continued success, we are looking for talented people to join our growing asset management team. We work very closely with all our clients, build strong interpersonal relationships and pride ourselves on our ability to 'walk the talk'. Therefore, we are particularly interested in those who have practical 'hands-on' experience with water infrastructure assets and interest in: The operation of water and wastewater networks The asset management challenges in delivering a source to tap service, including the threats & opportunities faced by the sector in the coming decades The production of asset strategies, asset policy, asset plans and asset standards At PA we believe that a brilliant asset manager is someone who is curious, enjoys exploring new ideas, and seeks to evolve asset management thinking and problem definition. We are looking to recruit and support curious asset management experts to develop across these areas, who are willing to learn and develop themselves in a consulting environment. To further enhance our projects pipeline we are looking for people to generate growth; business development is the key enabler for this, so previous experience of winning new work and developing opportunities is highly beneficial. While successful candidates will have a good technical understanding of their field, deep specialism is not the only facet of PA consultants; we also want ingenious people who can turn highly technical detail into simple concepts and communicate this clearly to anyone from boardroom to factory floor. Our consultants should be able to adapt their style to work effectively with clients and inspire confidence. We're looking for someone with these attributes: Self-motivation and ability to manage their own workload effectively Creative and open minded, enjoying learning and trying new ways of doing things Strong communication, presentation creation, delivery and document writing skills A great team member in multi-discipline teams Flexible working - We are guided by our client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance. Qualifications You have a technical background or possess strong technical competencies in one or more of the following areas: Smart Metering Smart and Calm Networks Network Operations (Water and Wastewater) Long term asset strategies You are passionate about the opportunities and challenges in the water sector. You are delivery oriented and at your best when, as part of a team with a high focus on results, you can help clients solve challenging strategic issues. You have a proven ability to lead a portfolio of workstreams or small projects, ensuring compliance with relevant quality assurance and standards and supporting the development of less experienced staff. You have strong communication skills with experience in effective collaboration across internal multi-disciplinary teams with other disciplines including data scientists, economists and engineers. A drive to be abreast of professional development and knowledge of current and emerging market trends and technical solutions. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team At iwoca, we're proud to nurture an entrepreneurial spirit within our teams. This is especially true of iwocaPay, a fast-growing start-up within the business, now with a dedicated team of more than 30 people. With iwocaPay, we've created a trade credit solution that has already provided thousands of buyers across the UK with the flexibility to manage cash flow while growing their purchasing power. Our team continues to innovate and expand, driving iwocaPay's mission to make credit available where it's needed most. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings An employee equity incentive scheme Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, andtogether we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, andtransport. Our teams operate globally from offices across theUK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Solution Design and Architecture : Develop and document high-level and detailed architectural designs for complex systems, ensuring that solutions meet business and technical requirements. Collaborate with Stakeholders : Work closely with business leaders, IT teams, and external partners to understand business needs, translate them into technical requirements, and propose the best possible solutions. Technology Roadmap : Create and maintain a technology roadmap that aligns with the clients's strategy, identifying opportunities to improve existing systems or leverage new technologies. System Integration : Design and implement integration strategies that allow disparate systems to work together seamlessly, ensuring data consistency, system reliability, and scalability. Solution Implementation Oversight : Oversee and guide the development teams during the implementation of designed solutions, ensuring adherence to the architecture and best practices. Security and Compliance : Ensure that all solutions comply with internal security standards and relevant regulatory requirements (e.g., GDPR, HIPAA), including data privacy, security, and disaster recovery considerations. Documentation : Develop and maintain detailed documentation of solution designs, architecture principles, and integration approaches for ongoing projects and future reference. Risk Management : Identify and mitigate technical risks in solution designs, ensuring that potential challenges or vulnerabilities are addressed early in the project lifecycle. Flexible working - We are guided by our client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance. Qualifications Experience : 3+ years of experience as a Solution Architect, Software Architect, or similar role, with a strong background in software design and system integration. Proven experience designing complex enterprise-level solutions across multiple platforms and technologies. Demonstrated expertise in architecting cloud-based or hybrid systems. Technical Skills : Proficiency in one or more programming languages (e.g., Java, Python, C#). Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines, and automation tools. Soft Skills : Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Strong problem-solving skills and a detail-oriented approach to solution design. Ability to manage multiple projects and deadlines, prioritising work effectively. Strong leadership skills with the ability to influence and collaborate across teams. Preferred Qualifications : Experience with enterprise architecture frameworks such as TOGAF or similar. Relevant certifications such as AWS Certified Solutions Architect , Azure Solutions Architect Expert . Knowledge of security frameworks and compliance standards (ISO, NIST, etc.). Experience with Agile methodologies and working in DevOps environments. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We are currently looking for Solution Architects to join our collaborative team, driving business transformations through strategic insights to enable lasting change through pragmatic use of technology. Contribute to innovation and PA's mission for a more positive human future in a tech-driven world. Work with our clients to design and deliver their most complex business and technical solutions. Working through the full delivery lifecycle, our Solution Architects bring a hands-on, delivery focus across all domains and leading technologies to our clients. Qualifications As a Solution Architect and technology leader in our Digital & Data team, you will: Work directly with PA and client colleagues to define robust technology solutions based upon our clients' needs. Sometimes you'll even need to help our clients understand what those needs are as they start their digital transformation journey. Many of our clients are FTSE 100 companies, large government departments or critical national infrastructure providers and you can expect to get involved in projects that have genuine impact from day 1. Own, create and assure key architecture artefacts such as: Key Design Decision, Technical Options Paper, High Level Design, Low Level Design, Reference Architecture and Roadmap. To do this, you'll need to deploy a range of consulting and stakeholder management skills to inform, engage and influence colleagues and decision makers from across our client's businesses. Support our client's senior leaders to help shape their case for change, typically leading on cost estimation and supporting creation of detailed planning and benefits realisation for the technology solutions you design. Work closely with Engineering teams, often taking a lead SME role helping to define the vision, establish Architectural Guardrails, Architecture Runways and Detailed Designs as well as unblocking the team as issues arise. Whilst operating as a Solution Architect, you will likely come from a hands-on Software Engineering background with experience leading engineering teams to deliver applications and services, enabling you to quickly build credibility. Rapidly understand and effectively communicate complex technical ideas to board-level business leaders and their teams. You'll use your technical writing and presentation skills to do this supported by productivity tools such as: PowerPoint, Word, Visio. Be confident using your architecture skills and experience across the full range of architectural domains, with a specialism in at least one: Business, Data, Application, Technology and Security. Bring to bear a clear understanding and practical application of architecture and delivery methodologies such as: TOGAF, Zachmann, MODAF or SAFe. Use your understanding and application of architecture modelling tools and frameworks to communicate your ideas: UML, ArchiMate, Ardoq, and others. Design and deliver architecture solutions within governance and target operating models, using a range of ways of working and delivery methodologies: Waterfall, SAFe, Scrum, Kanban. Commit yourself to continuous improvement and professional development. Everyone's experience is different so we're not prescriptive about this. Certifications in appropriate methodologies and cloud technologies are advantageous: AWS, Azure, GCP, TOGAF, SAFe. Thrive in a trust-based, inclusive environment that values excellence, innovation and curiosity. To support you, we'll provide a number of career accelerators including training opportunities - both business and technical, focused mentoring and the variety of engagements needed to really invest in your consulting skills and take your work to the next level! We're technology agnostic, using the right tools for the job at hand, and you'll have access to our strong partnerships with AWS, Azure and GCP. We're interested to hear from Solution Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Oracle, IBM, Salesforce and more. Additional information Private medical insurance Travel allowance 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance-based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn) Additional optional benefits (Dental, critical illness, spouse/partner life assurance) PA is committed to building an inclusive and supportive culture where diversity thrives, and all of our people can excel. We believe that greater diversity stimulates innovation, enabling us to fulfil our purpose of 'Bringing Ingenuity to Life', supporting the growth of our people, and delivering more enduring results for our clients. We only recruit, promote and reward our people based on their contribution, without regard to gender, race, disability, religion, nationality, ethnicity, sexual orientation, age or marital status. We welcome international applications, but we are unable to offer sponsorship for work permits, so you will need to have the full right to live and work in the UK. Unfortunately, your application will be automatically rejected if you do not have these rights.

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, andtogether we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, andtransport. Our teams operate globally from offices across theUK, Ireland, US, Nordics, and Netherlands. Enterprise Architecture Design and Strategy: Develop and implement an enterprise architecture strategy that aligns IT and business goals. Define and document technology standards, principles, guidelines, and best practices to ensure consistency across the enterprise. Lead the design of technology solutions that meet business requirements, and ensure their scalability, security, and sustainability. 2.Stakeholder Collaboration: Collaborate with business leaders and IT teams to understand business processes, challenges, and technology needs. Act as a liaison between technical teams and business units to ensure that the technology architecture meets current and future needs. Provide guidance and consultation to project teams on all aspects of architecture, ensuring alignment with enterprise standards. Technology Road mapping and Solution Architecture: Develop and maintain a multi-year technology roadmap aligned with business strategy and priorities. Identify emerging technology trends and evaluate their potential impact on the organisation. Define solution architecture for specific initiatives or projects, ensuring compatibility and compliance with the enterprise architecture. Governance and Compliance: Establish and enforce enterprise architecture governance processes to ensure compliance with internal and external policies and regulations. Evaluate and monitor existing and planned systems for alignment with enterprise architecture standards. Define key performance indicators (KPIs) and metrics to assess the health and performance of enterprise architecture initiatives. Identify potential technology risks and develop mitigation strategies to address these risks. Conduct regular assessments of technology architecture to identify areas for improvement, cost reduction, and increased efficiency. Work closely with cybersecurity teams to ensure that architecture solutions adhere to security standards and best practices. Data Architecture and Integration: Design and implement data architecture that supports enterprise-wide data analytics, reporting, and decision-making. Ensure integration between systems and data sources to improve the accessibility and reliability of data across the organisation. Define data governance standards and practices to ensure data quality, security, and compliance. Documentation and Communication: Maintain comprehensive documentation of the enterprise architecture, including system designs, technology standards, and architecture models. Regularly communicate architecture status, risks, and recommendations to senior leadership. Provide training, support, and guidance to IT teams to help them adhere to enterprise architecture standards. Experience: 8+ years of experience in IT, with at least 3-5 years in a senior architecture role. Proven track record in designing and implementing enterprise architectures in complex organisations. Experience in various architectural domains: business, application, data, and technology. Technical Skills: Strong knowledge of enterprise architecture frameworks (e.g., TOGAF). Proficiency in architectural modeling tools (e.g., ArchiMate, Sparx, or similar). Familiarity with cloud platforms (AWS, Azure, Google Cloud) and integration technologies (APIs, SOA, microservices). Knowledge of cybersecurity best practices and regulatory compliance (e.g., GDPR). Qualifications Excellent analytical, problem-solving, and decision-making skills. Strong communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders. Ability to work collaboratively with cross-functional teams and manage multiple priorities. Strategic thinker with a proactive approach to identifying and addressing challenges. Additional information Private medical insurance Travel allowance 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance-based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn) Additional optional benefits (Dental, critical illness, spouse/partner life assurance) Flexible working - We are guided by our client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance. PA is committed to building an inclusive and supportive culture where diversity thrives, and all of our people can excel. We believe that greater diversity stimulates innovation, enabling us to fulfil our purpose of 'Bringing Ingenuity to Life', supporting the growth of our people, and delivering more enduring results for our clients. We only recruit, promote and reward our people based on their contribution, without regard to gender, race, disability, religion, nationality, ethnicity, sexual orientation, age or marital status. We welcome international applications, but we are unable to offer sponsorship for work permits, so you will need to have the full right to live and work in the UK. Unfortunately, your application will be automatically rejected if you do not have these rights.

Data Scientist - Customer Lifetime Value Hybrid in London / Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is central to our business, influencing decisions across every department. The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting things done' and delivering high quality solutions. You can expect working closely with stakeholders, delivering solutions iteratively to incrementally add value, collecting and addressing feedback, and also providing support to the team and wider business. The role Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development. Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring. Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights. Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates. Project ownership and autonomy. Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design. Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The requirements Essential: Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation. Strong problem-solving skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python. (Note: we mostly work in Python.) Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings An employee equity incentive scheme Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, deliver user training and coaching, and co-developing data science projects from design to deployment. Responsibilities include (but are not limited to): Lead technically the delivery of client use case developments or migrations Scope and develop production-level data science projects for our customers across different industries and use cases Help users discover and master the Dataiku platform, via demos, instructor led user trainings, and ongoing consultative support Provide strategic input to the customer and internal account teams that help make our customers successful Raise risks and issues with the Dataiku engagement managers for a successful time to value and implementation Diplomatically tackle complex technical matters and challenging situations with partners and customers Provide data science expertise both to customers, partners and internally to Dataiku's sales and marketing teams Inspire trust and demonstrate leadership in the field of AI, Responsible AI, and Generative AI to your peers, and to our customers and prospects Contribute to the selling of the services in your region by bringing new service leads and scoping additional projects Develop custom Python-based "plugins" in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku's functionality Success Profile: Technical lead experience in the space of data science and analytics Curiosity and a desire and ability to learn new topics and skills at pace Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences Over 3 years of experience with Python and SQL Over 4 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualization in Python and R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Language: Must have bilingual proficiency in Spanish and English Travel: Willingness to travel up to 10% Bonus points for any of these: Experience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges: $140,000 - $180,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate.

Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team At iwoca, we're proud to nurture an entrepreneurial spirit within our teams. This is especially true of iwocaPay, a fast-growing start-up within the business, now with a dedicated team of more than 30 people. With iwocaPay, we've created a trade credit solution that has already provided thousands of buyers across the UK with the flexibility to manage cash flow while growing their purchasing power. Our team continues to innovate and expand, driving iwocaPay's mission to make credit available where it's needed most. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings An employee equity incentive scheme Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack

Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team At iwoca, we're proud to nurture an entrepreneurial spirit within our teams. This is especially true of iwocaPay, a fast-growing start-up within the business, now with a dedicated team of more than 30 people. With iwocaPay, we've created a trade credit solution that has already provided thousands of buyers across the UK with the flexibility to manage cash flow while growing their purchasing power. Our team continues to innovate and expand, driving iwocaPay's mission to make credit available where it's needed most. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings An employee equity incentive scheme Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

At Kortical we are on a mission to enable any company to be an AI company by providing world class tooling to enable data scientists to deliver superhuman ML solutions much quicker than than current offerings allow, all fully transparent and editable in code. Remote working: Flexible remote (up to 4 days p/w) At Kortical we are on a mission to enable any company to be an AI company by providing world class tooling to enable data scientists to deliver superhuman ML solutions much quicker than than current offerings allow, all fully transparent and editable in code. The role has two elements to it: As not every company or department have in-house data scientists, for some clients we build awesome ML solutions for our clients like Deloitte Tax, NHS and Santander using the Kortical platform. By working with our clients building these awesome ML solutions, we find areas that would make our life better as data scientists and encode those features into the platform, editing features and seeing the result before building a model, monitoring data drift, easy deployment etc Across all our projects, we've managed to keep a 100% track record of success, improving on the current state of the art in every business we've done ML projects for, across a very broad range of industries. To keep this record we've created our own agile data-science delivery process and are always actively looking to improve on it. We also focus on cross training each other, so we can all share best practice approaches across a wide range of problems and industries as we solve more problems and we love a challenge. To be successful in this role you need to be a quick learner, being able to understand new businesses after a brief introduction and see how ML could add value is a regular part of the job. While also being able to bring a broad knowledge of the state of the art in problem solving using AI / ML. The ideal candidate would be a practical data scientist that has experience in solving real world problems with AI. Ideally you have a consulting background so can navigate different stakeholders easily, enthuse others on the benefit of the project and find new opportunities as they get a deeper understanding of the business. Skills required: You will have delivered AI/ML solutions that are deployed. Been through the pain of messy data, building features and iterating until a great ML model was created. Have experience on working across different AI/ML problems Worked with external clients in the past or happy to work with external clients, discussing their data, what the metrics are and presenting the results in a digestible manner Great at self project management, data science is just that, a science but there is a skill to be able to contain the experimentation and focus until meaningful results In terms of skills we're looking for a candidate with one or more of: Python A flare for visualisations NLP Big data architectures Spark ML Knowledge of novel DNN architectures GANs ML Vision About Kortical Just as every company is now a tech company, they will also have to be an AI company to survive. Currently 85% of ML projects fail and we are on a mission to turn that statistic upside down! Google, AWS, Azure are all essentially a box of tools, and you need a strong multi-skilled team to assemble a fully scalable ML solution. Then there are those platforms that are like ready made family saloon cars, not customisable and not everyone's first choice of car. At Kortical we believe in having the best of both worlds, a ready made sports car that is fully transparent and customisable. Our approach is to make a platform that is editable in code and accelerates the creation of ML solutions from years to weeks, all while delivering Superhuman AI results. And big names like the NHS, BT and Deloitte have seen awesome results from using Kortical. We are a fast growing brand and have been listed as one of the top 20 hottest AI start-ups in the UK by PWC (Oct 21) and have won innovation awards from the FCA and Awards.ai. While we are profitable, we are looking to raise another round of funding Q1 2022 to build the team and accelerate our growth faster. Requirements: It's not purely about technical proficiency and we place a big emphasis on team. Pandemic aside, we often go out for a drink together (soft or hard, it is about the conversation), we do team lunches on the company every two weeks and also do quarterly "Mandatory Fun Days" where we vote on an activity and celebrate the successes afterwards. On the softer skills side, the person we're looking for should: Take pride in producing great work and seeing it through to completion Be approachable and enjoy helping others Enjoy being part of a team doing something cool Have a passion for complex problem solving Believe that the best idea should win and be objective about collaborative design Company Benefits Medical Insurance Pension Flexi-working Share Options - we want everyone to share in the success of this start-up Interview Process Call, test, interview with founders & offer! Fill out the form below with: Why you are interested in the role A short paragraph summary of what experience you have No need to send a CV just your LinkedIn profile We will be in touch if your skills match the role Get In Touch We will be mindful of your inbox. Please tick this box so we can let you know when we release any new products or discounts, etc. By submitting this form, I can confirm I have read and accepted Kortical's privacy policy .

Senior Data Scientist - Ops Team Hybrid in London, UK We're looking for a Senior Data Scientist As a senior data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Senior Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Strategy and innovation: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Ownership and influence: Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. In-depth expertise: Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

Data Scientist - Customer Lifetime Value Hybrid in London / Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is central to our business, influencing decisions across every department. The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting things done' and delivering high quality solutions. You can expect working closely with stakeholders, delivering solutions iteratively to incrementally add value, collecting and addressing feedback, and also providing support to the team and wider business. The role Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development. Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring. Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights. Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates. Project ownership and autonomy. Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design. Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The requirements Essential: Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation. Strong problem-solving skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python. (Note: we mostly work in Python.) Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings An employee equity incentive scheme Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

Senior Data Scientist - Ops Team Hybrid in London, UK We're looking for a Senior Data Scientist As a senior data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Senior Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Responsibilities: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

Come and change the world of AI with the Kumo team! Companies spend millions of dollars to store terabytes of data in data lakehouses, but only leverage a fraction of it for predictive tasks. This is because traditional machine learning is slow and time consuming, taking months to perform feature engineering, build training pipelines, and achieve acceptable performance. At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists to train powerful Graph Neural Net models directly on their relational data, with only a few lines of declarative syntax known as Predictive Query Language. The Kumo platform enables users to build models a dozen times faster, and achieve better model accuracy than traditional approaches. As a Data Scientist for EMEA, you will be a technical liaison for Kumo's customers and prospects in the EMEA region. Your objective is to discover the technical needs of customers and showcase how Kumo can address them (or explain why you think it won't). With this information, you will craft and tell a story of how Kumo can deliver value to their organization. Together with the customer and Account Manager, you will put together a plan to solve the customer's machine learning problems using Kumo. You will leverage your industry knowledge and data science expertise to help the customer craft the solution architecture and machine learning approach for their use cases, and guide them to achieve technical wins. You will maintain relationships with technical champions, ensuring continued success of existing models as well as expansion to new use cases. This is a fantastic opportunity for someone with deep expertise in machine learning and a passion for data science to grow into a confident leader within a dynamic and innovative environment. The Value You Will Add: Be a Kumo platform superuser - understand the product in and out and how it should be used to solve customer problems. Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems. Lead architecture reviews and security assessments. Maintain meaningful relationships with technical influencers and champions within ML teams, both pre and post-sale. Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger and larger number of internal workloads. Provide market and customer feedback to the Product and Engineering team to refine feature specifications and the product roadmap. Create broader processes for each customer to go through to ensure we can drive repeatable successes in PoCs. Generate Kumo platform educational materials to disseminate amongst current users or prospects. Your Foundation: Someone who finds genuine satisfaction in solving customer ML problems and helping them deliver value to the business. 5+ years of relevant professional experience working with external customers in deploying AI/ML/data science solutions in production for customers. Proficiency with ML and data science fundamentals, at the level of a bachelor's/graduate program. Persuasive communication - ability to present, speak, demo well to customer stakeholders and convince them to partner with Kumo! Self-starter, motivated, resourceful and persistent: demonstrated ability to structure complex problems, take the initiative, and identify creative solutions to deliver outcomes in the face of obstacles. Knowledge of common data science tools around SQL-based data warehousing (e.g., Snowflake, Databricks, DBT), BI tools (e.g., Tableau, Looker), workflow orchestration, and ML Ops. Excellent spoken and written English skills. Fluency with scripting in Python. Ability to work effectively across time zones. Teammates will be located from PT to CET time zones. Customers will be in GMT/CET, while occasionally as far as SGT. Benefits: Stock Competitive Salaries Medical Insurance Dental Insurance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Data Scientist - Ops Team Hybrid in London, UK We're looking for a Data Scientist As a data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Responsibilities: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

Data Scientist - Ops Team Hybrid in London, UK We're looking for a Data Scientist As a data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Strategy and innovation: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Ownership and influence: Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. In-depth expertise: Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.