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Our fully automated, purpose-built solution eliminates the manual processing of business- critical commercial documents with 100% data accurate, touchless transactions. These documents include purchase orders, invoices, advance shipping notices, and other essential commercial documents exchanged between business and their customers. About the Role: AsConexiomcontinues to be experiencing significant growth, we are scaling our data science initiatives to the next level. Conexiom's data scientist is a problem-solver, and we are building real-world Machine Learning (ML) solutions in an enterprise product suite to further position Conexiom as a thought leader in the business automation space. You will be working in a fast-paced Agile environment with a proven ML product already in the market, a strong team and seniors to assist you in taking the next steps in your career. Responsibilities: Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks. Conduct and validate model performance through comprehensive evaluation metrics. Analyze large datasets to extract actionable insights and trends. Implement machine learning models into production environments, ensuring scalability and reliability. Monitor and maintain the performance of deployed models, making updates and improvements as necessary. Work closely with the data engineer and Principal ML engineer. Stay updated with the latest advancements in machine learning, AI, and data science Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 3+ years' experience in implementing scalable ML systems into the production environment. Experience in all parts of the lifecycle of ML projects, including initial conceptualization, data handling, model development, and deployment. Proficiency in programming languages, including Python. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. Experience developing Python APIs using tools such as FastAPI. Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools. Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation. Familiar with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Experience building an enterprise-class business automation solution is a plus. Experience working in a SaaS environment a plus. Stay updated with the latest advancements in machine learning, AI, and data science. About Conexiom: Conexiom is a cloud-based, purpose-built automation platform that automates the most critical and complex B2B document transactions between buyers and sellers. Manufacturers and distributors across the globe, such as Grainger, Genpak, Honeywell, and Lonza, trust Conexiom to create resilient operations that scale, drive growth, reduce costs, and build frictionless relationships with their customers. Conexiom is based in Vancouver, British Columbia, and has offices in Kitchener, Ontario; London, England; and Chicago, Illinois. Conexiom embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are working to ensure that the profile of our staff reflects the profile of the communities we work in and serve. For that reason, we seek resumes and expressions of interest from a broad and diverse talent pool. Strength comes from the inclusion of diverse perspectives and experiences. Reasons to work for Conexiom: Our MISSION is to transform broken processes into business value We are DATA -driven and RESULTS -focused We show our COMMITMENT to the people that make-up Conexiom by: Training and development opportunities Competitive compensation Work/Life balance - Open PTO Policy in North America & Flex days in the UK Comprehensive health, dental, & vision insurance We build products & internal processes that increase efficiencies and drive INNOVATION for our customers Our VALUES We care for each other We hold ourselves accountable We make our customers heroes We over-communicate We are inclusive & want to make change for the better Conexiom is proud to offer equal employment opportunities. If you have a need that requires accommodation at any time during the recruitment process, please reach out to our Talent Acquisition Manager at

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We're looking for a Senior Web Developer to join our Retail Media team at dunnhumby. ou'll play a key role in integrating innovative, scalable, and high-performance web applications that power retail media solutions for some of the world's biggest brands and retailers. As part of a cross-functional team, you'll collaborate with product managers, designers, data scientists, and engineers to deliver seamless digital experiences that help retailers monetise their media assets and drive measurable outcomes for advertisers. What You'll Do As a Senior Web Developer in our Retail Media team, you will: Support the technology and integration of our adtech functions, ensuring seamless connectivity with key platforms like Google Ad Manager Regularly test, maintain, and enhance our web frameworks to ensure performance, reliability, and scalability Troubleshoot and resolve technical issues across the stack, from frontend bugs to backend integration challenges Collaborate closely with internal product teams and stakeholders to align technical solutions with business goals Lead the integration of our systems with third-party ad servers and platforms, particularly Google's adtech ecosystem Contribute to the continuous improvement of our development practices, including code reviews, testing, and deployment automation Mentor junior developers and share knowledge across the team What We're Looking For Background in the advertising or adtech space , with a solid understanding of digital media workflows Exposure to Google ad platforms , ideally including Google Ad Manager Proven ability to engage and collaborate with stakeholders across product, tech, and commercial teams Familiarity with modern frontend frameworks (e.g. React) and backend technologies (e.g. Node.js) is a plus A proactive mindset with strong problem-solving and communication skills What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Will you require sponsorship now or in the future to be able to work in the country the role will be located? Select I confirm that all information I have provided in this application is true and accurate' Select Have you worked at dunnhumby before? Select Global Diversity and Inclusion Questions At dunnhumby, we utilise our diversity of thought as our competitive edge . We are proud of our diversity and committed to making dunnhumby an even more inclusive place to work that we can be proud of. Our diversity and inclusion work is designed to cultivate a culture of belonging, where every dunnhumbian feels safe to bring their whole self to work, where everyone is welcome and we practice what we preach. We have a full D&I strategy to implement this long-term behaviour change; in addition, we have five employee-led network groups to support colleagues in the areas of gender, sexual orientation, multiculturalism, mental health and wellbeing, and family. What best describes your gender Select By checking this box, I consent to dunnhumby collecting, storing, and processing my responses to the demographic data surveys above.

Interim Data Scientist Outside IR35 Farringdon, London Until the end of the year (likelihood of extension) Are you passionate about seizing the opportunities that big data brings to the mobility industry? Join us as an InterimData Scientist at Toyota Connected Europe. We are a new company created to bring big data into various aspects of mobility. You will leverage telematics data from vehicles to build models for B2B and B2C mobility solutions. By doing so, you will make user experience more fun, efficient and safe. You will be joining us at the beginning of TCEU's journey of building our team and products. This is an opportunity to have significant impact and voice, and co-define the future of data science in the mobility industry. It also means that the role will suit a self-starter with ownership mentality, who is flexible andadaptable to change. What would you be doing? Act as a Data Science SME - Lead the design and implementation of modelling solutions, advising teams on feasibility, trade-offs, and impact Develop predictive models for mobility - Build and refine ML models using telematics and time-series data to power smart, connected mobility use cases Deploy and maintain models - Collaborate with Data Engineering to optimise, deploy, and monitor models in production environments Apply best practices in MLOps and workflow automation - Implement scalable, reproducible pipelines using modern tooling and GenAI to streamline internal processes Conduct applied research - Deliver experimental projects that may evolve into commercial or customer-facing opportunities Collaborate cross-functionally - Work closely with Product and Engineering to ensure solutions address real customer needs and drive business value What are we looking for from you? Hands-on experience in applied machine learning and data science, ideally involving time-series, telematics, or mobility data Strong modelling skills across a range of techniques - from statistical methods to deep learning, including generative AI solutions Proficient in Python and SQL, with solid knowledge of key libraries and frameworks (e.g., TensorFlow, Keras, Spark, LangChain) Strong software engineering foundations, including experience delivering code through CI/CD pipelines in cloud environments Solid grounding in linear algebra, statistics, and mathematics A natural problem-solver - curious, analytical, and impact-driven Proven ability to work collaboratively with engineering and product teams in cross-functional settings What would push your application to the top of the list? Experience working with telematics data Knowledge of EV charging infrastructure or fleet operations. Experience working on automotive/mobility use cases

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 in London, you will be a technical liaison for Kumo's customers and prospects in the UK 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 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 bachelors/graduate program. Persuasive communication - ability to present, speak, demo well to customer stakeholders and convince them to partner with Kumo! Self-starter, motivative, 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 (eg. Snowflake, Databricks, DBT), BI tools (eg. 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.

£35,000 Location: London (office-based, 4 days per week) Build Something That Matters native has been building for 10 years, but we're still very much a startup: fast-moving, ambitious, and building with intent. We're creating the infrastructure that connects students, Students' Unions, universities, and advertisers through a managed marketplace. Our goal is to increase student engagement while enabling Students' Unions to secure sustainable funding. For advertisers, we offer meaningful, measurable routes to student audiences. The more aligned these incentives are, the more defensible and scalable our business becomes. We're looking for graduates who want to step straight into meaningful work, learn quickly, and grow fast. What we're looking for We value clarity of thought, good judgement under pressure, and the ability to create structure where none exists. You might be right for this if: You think in first principles, not borrowed answers - solving problems from the ground up You thrive in ambiguity - you're comfortable making decisions when there isn't a map You do the work - not for applause, but because it matters to you that things are done well You've got range - you're not just smart on paper; you've done things that demanded resilience, judgement, or initiative We are open to a wide range of degree backgrounds, but we look for intellectual sharpness and structured thinking. That often shows up in disciplines like engineering, maths, philosophy, languages (whether classical or modern), or history - but not always. If your academic path is less typical, help us understand how your thinking has been shaped and why it stands up. What you'll be working on You'll be directly involved in: Developing predictive models to identify patterns in student behaviour and engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative insights, ensuring accuracy and usefulness Conducting advanced statistical analysis and clustering to uncover insights about student segments, motivations, and behaviours Collaborating closely with the Student Personas team to translate analytical findings into clear, actionable recommendations Creating robust documentation and clearly communicating your methods and results, ensuring reproducibility and clarity This role is deeply analytical and technical, designed to rapidly build your practical skills in data science and predictive modelling within a real, high-impact environment Required Skills You'll be right for this role if: You have strong analytical skills, demonstrated by excellent academic results, research projects, academic papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools You are comfortable writing clear, efficient SQL for extracting, cleaning, and preparing datasets, demonstrated through coursework, internships, or personal analytical projects You have demonstrated initiative by independently exploring additional analytical and machine learning tools or frameworks, such as BigQuery, TensorFlow, PyTorch, or similar Progression This is an initial six-month engagement. If you perform well, the expectation is that you'll move into a promoted, permanent role at the end of that period. We treat this as a proving ground for long-term hires, not an internship. During your interview process, you'll be encouraged to speak with previous graduate hires at native who joined through this route, so you can hear directly how this role can set you up for rapid career progression. Location and ways of working You'll be based in our London office, working in person at least four days a week, with one optional day remote. We believe in high-bandwidth collaboration and fast decision-making, so most of the work happens face-to-face. How to apply We don't want a cover letter. Instead, answer a few questions we have which will help us understand how you think: A trade-off you've had to make and how you decided A problem you tackled without much guidance A system or process you'd redesign and how you'd go about it A time you had to choose what not to do, and why Also please do include a recent CV, or a link to your LinkedIn profile / equivalent. And If you're reading this and thinking, I really want to do this, but I probably won't get picked - apply anyway. We care far more about how you think and how you show up than whether you tick every imagined box. Don't rule yourself out. We're hiring on a rolling basis. If this sounds like the kind of challenge you're ready for, get in touch. Equal Opportunity Statement We are actively creating an equitable environment for everyone at native to thrive. Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at native. At native, we embrace diversity in all of its forms and foster an inclusive environment for all people to do the best work of their lives with us.

Requirements 1+ years of experience in data science (or equivalent academic or personal projects), A problem-solver who enjoys thinking creatively about how data can deliver value, A passion for building great data products and a willingness to roll up your sleeves across the data lifecycle - from pipelining to model deployment, Experience with some of the following tools and technologies (or an eagerness to learn):, Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch), Statistical methods and machine learning (e.g., A/B testing, model validation), Data pipelining tools like SQL, dbt, BigQuery, or Spark, A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience, You're not afraid to challenge the status quo if it means reaching a better outcome for our customers, Use your excellent time management abilities to prioritise daily tasks in accordance with overarching company goals, You're ambitious, and eager to progress quickly to grow alongside the company, You apply yourself to everything you do, recognising the difference that makes to the business, You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners, You'll be a champion of our values, and encourage others to be the same What the job involves We're looking for an enthusiastic Data Scientist to join our Data team and play a pivotal role in shaping how we leverage data at Urban Jungle, This is an exciting opportunity to work in a high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one, You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond, Get to grips with our data platform and begin contributing to models that power core business decisions, Work on projects that span multiple areas, including pricing, risk assessment, and behavioural fraud detection, Build, deploy, and iterate on data models that bring clear and measurable value to our business, Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products that delight our customers and drive business growth, Play a key role in developing our state-of-the-art data platform, setting the standard for best practices in data science and analytics, Build your commercial awareness by collaborating on cross-functional projects with teams across Urban Jungle, Join a fun, supportive, and ambitious team where your growth and well-being are a top priority

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients. Be part of our Hitachi family We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting the best talent and offering outstanding career opportunities (hitachi-solutions.co.uk) What to expect, your benefits Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer's offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Senior AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Accountabilities Accountable for providing hands-on technical knowledge, while managing client relationships within the project context. Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution. Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards. Key Responsibilities Capture client requirements and lead the development of solution architectures that meet both current and future business needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates ("Hitachi") you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy Policy located at Privacy policy (hitachi-solutions.co.uk) Beware of scams Our recruiting team may communicate with candidates via domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests. All offers will originate from domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.

Founded in 2018, Causaly's AI platform for enterprise-scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the team We're hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one-stop shop for a researcher's needs. We're looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day-to-day exploration. What you'll be doing • Design and implement ML/AI solutions end-to-end, from the idea and data exploration phase to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact. • Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. • Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. • Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user-facing features powered by AI. • Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. • Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real-world performance tracking. • Mentor junior AI engineers and cross-functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high-trust, high-performance team culture. • Stay up-to-date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. • Contribute to a culture of knowledge sharing, through company-wide Slack channels, Show and Tell presentations and technical deep-dives. What experience you'll need to be successful • A master's degree or above in Computer Science, Electrical Engineering or a related field. • 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. • Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. • A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine-tuning. • Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. • Experience working in product-focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively • Ability to reason about system behavior end-to-end, including model performance, latency, and observability, and how these impact user experience. • Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you also have: • Experience with MLOps/LLMOps frameworks and best practices • A PhD in Computer Science, Electrical Engineering or a related field. • A background or work experience in life-sciences, health-tech, or other data-intensive domains Benefits Competitive compensation package Private medical insurance Life insurance (4 x salary) Personal development budget Individual wellbeing budget 25 days holiday plus bank holidays Your birthday off! Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.

Senior Data Scientist - Cardiff, London, or Remote (UK) Visa Sponsorship Available Monzo Monzo is looking for a passionate and commercially minded Senior Data Scientist to join their dynamic team, based in Cardiff, London, or fully remote across the UK. This is an exciting opportunity for a data professional who is impact-driven, motivated to make a real positive difference across the company, product, users, and team culture. The ideal candidate will have a strong ability to translate complex data into business insights, helping to drive strategic decision-making and growth. With a keen commercial awareness, the Senior Data Scientist will put numbers into clear business perspective, influencing product development and company success. Visa sponsorship is available, making this an excellent role for highly skilled candidates who are currently in the UK and looking to join a forward-thinking, innovative environment. If you are eager to apply your expertise in a company that values collaboration, user-centric design, and data-driven innovation, apply now to build your future with Monzo. About Monzo We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo Position: Senior Data Analyst Job Type: Full Time Location: Cardiff, London, or Remote (UK) About the Role: About our Data Science Team: We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! What you'll be working on We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc. Responsibilities Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability Liaise with engineers to keep making sure we collect the right data to produce relevant business insights Role Requirements: You should apply if: What we're doing here at Monzo excites you! You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well You're commercially minded and can put numbers into business perspective You're as comfortable getting hands-on as taking a step back and thinking strategically You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so You're a team player whom your colleagues can rely on You have solid grounding in SQL and preferably Python You have experience in conducting large scale A/B experiments The Interview Process: Our interview process involves three main stages: Initial Call Technical Interview Final Interview including a case study and collaboration interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you Do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on What's in it for you: £80,000 to £95,000 + Stock Options + Benefits We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences +And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Required Documents CV/Resume Application Process Interested and qualified individuals should visit HERE to apply

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! What you'll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Our interview process involves: Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What's in it for you: £95,000 to £115,000 + Stock Options + Benefits ️ We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. Select We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Keeping your data safe is really important to us. Select Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary . And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo . We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? 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Elsevier is in the midst of a TRANSFORMATION and TECHNOLOGY is simultaneously at the FOREFRONT and the DRIVING FORCE. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semantic web and cloud technology, enabling faster more effective critical decision-making daily across the globe. Product Mendeley is part of Elsevier. Mendeley is changing the way research is done. We are mission led with a strong commitment to providing the best tools to help researchers and scientists do their work. We've built a global research collaboration platform, reference management tool and open research database. The Role We are looking for a Data Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems that help researchers to organise their research, contextualise it with respect to other research, collaborate with one another, and discover new research. Responsibilities: Research, develop and evaluate algorithms for use in Mendeley's software tools Demonstrate how well these algorithms perform when applied to real data Work with engineering teams to deliver algorithms in production environments What you'll be doing Identify, obtain and prepare data sets for training and testing algorithms Research, develop and evaluate algorithms for systems such as recommender and information extraction systems Build proof of concept prototypes demonstrating these algorithms in action Evaluate algorithms through controlled offline and online experiments Work with engineering teams to guide prototypes through to production, making reliable/scalable systems Manipulate large scale data (data cleaning, data normalisation, data linkage) Company: Elsevier Qualifications: What you should bring Strong research and development experience in industry and/or academia Hold an MSc, preferably PhD, in Computer Science Experience working with large graph/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments Strong presentation skills in communicating with experts and novices Language requirements: Fluent spoken and written English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We're here because we don't believe there's a level playing field that gives small businesses with a fighting chance against the giants of the high street. We're here because we see banks and legacy service providers making things harder for them. We don't think the best technology or the best service should be reserved for those with the biggest headquarters. We're here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We're looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission The Customer Risk Monitoring team, part of the Acceptance group, is responsible for implementing and maintaining the analytical intelligence that protects Teya and its customers from exposure to financial risks, including fraud and money laundering. Our goals are to minimise financial losses to Teya while maintaining customer trust and ensuring compliance with regulatory requirements. The team aligns very closely with the Ops teams investigating suspicious activities. As the product manager for the Customer Risk Monitoring team, you'll work to create strong partnerships with technical and non-technical stakeholders to ensure alignment between our risk analytics roadmap and the business strategy. This role reports directly to the Head of Product. You'll be expected to work closely with data scientists, data analysts, engineers, and operations specialists, from individual contributors to heads of departments. Job Purpose As an Ongoing Monitoring Product Manager you will play a critical role in defining the standards to monitor the ongoing behaviour of our members to protect the financial services infrastructure from unwanted behaviour, enforce Teya policy, protect against fraud, and ensure Teya maintains compliance with AML regulations actively supporting Teya's commitment to prevent financial crime. The role will cover transaction and other monitoring of member and their behaviour and external information about our members, and subsequent in-depth investigations of monitoring flags and risk issues and events. The monitoring team also performs periodic refreshes of KYB / KYC data held on members. Key accountabilities Transaction and Member Monitoring. Create the team's training on suspicious behaviour and transactionpatterns as well as roll your sleeves up and review alerts where required. KYC / KYB Refreshes. Advise on best practices in the area and be able to roll your sleeves up and conductrefreshes as required. Trend Analysis. Proactively analyse data on identified trends and suggest new transaction monitoring rules to the second line teams. Member Escalations. Manage escalation processes from the team within the first line and to the secondline teams. Rule Setting. Be responsible for proposing, reviewing, and refining customer monitoring rules to enhancerisk detection and mitigation. Continuously assess rule effectiveness and suggest improvements basedon data insights and emerging trends. Collaborative Communication. Produce relevant reporting to senior management and build strong relationships with internal stakeholders, sharing insights and fostering a culture of ongoing monitoringrisk management. Process & System Optimisation. Proactively identify potential areas of improvement and automations and work closely with the product and second line teams to scope and implement. Horizon Scanning. Keep abreast of upcoming regulation change and assess how it may impact upon departmental tasks and present suggestions to the second line teams. Strategic Support. Work closely with the First line operational risk leader and other areas of the First LineOperational risk function to assist in ad-hoc projects. The Role Product Strategy and Roadmap. Contribute to and drive the roadmap for fraud and money laundering prevention, aligning product goals with company objectives and managing trade-offs in metrics. Develop and execute Go-To-Market (GTM) strategies, analyse issues in rollouts, and propose solutions. Collaborate closely with data scientists and data analysts to define data requirements, evaluate model performance, and translate analytical insights into actionable product features. Lead product discovery initiatives to keep our host ahead of industry standards and stay informed about market trends and competitor offerings. Generate insights and analyse past trends, make data-driven decisions to inform product strategy. Understand key engineering concepts such as SLAs, SLOs, availability, reliability, and test environments. Balance technical debt management with new feature releases. Utilise observability tools (logs and metrics) to monitor product performance. Ensure the product meets European regulatory requirements (PCI, GDPR, Data Retention, etc.). Stakeholder Management and Project Coordination. Working with internal experts, including tech, sales, CR, security, compliance, tax, legal and accounting teams, ensuring products and services are secure, compliant, operational, and fit for purpose. Manage external dependencies with key providers. Identify and mitigate risks, build scenarios, and manage project timelines. Using data to identify ancillary opportunities that allow us to serve merchants better. Your Story A minimum of 5 years of experience working in transaction monitoring / ongoing monitoring roles inpayments and or business banking. A deep understanding of the card acquiring and business banking space. Strong knowledge of both the UK and EU AML regulations. Excellent communication and teamwork skills. Highly organized and unafraid to challenge and motivate both yourself and your team. Highlymotivated and enthusiastic individual who thrives working in a fast-paced environment. Experience working with teams implementing data science and AI solutions. Experience working on products and systems requiring to meet strong regulatory requirements and subject to regular audits. Desired -An AML qualification such as ICA or ACAMS or equivalent. The Perks We trust you, so we offer flexible working hours, as long it suits both you and your team Physical and mental health support through our partnership with GymPass, giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support Cycle-to-Work Scheme Health and Life Insurance Pension Scheme 25 days of Annual Leave (+ Bank Holidays) Office snacks every day Friendly, comfortable and informal office environment in Central London Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application-we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

Cyber Transformation - Senior Consultant 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 teams of interdisciplinary 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 believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Collaborate with clients to shape cybersecurity strategies. Guide transitions to new business models. Contribute to resolving cybersecurity issues. Excel in delivering results across sectors. Show interest in tech and digitisation. Build strong stakeholder relationships. Foster team growth and deliver outcomes. Understand cybersecurity's broad scope. Solve problems with a consulting approach. Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Proven track record of achieving outcomes and nurturing relationships across diverse sectors. Successfully executed implementation and benefits realisation across multiple business units and stakeholders. Adeptly developed interpersonal and stakeholder engagement proficiencies across various levels, fostering a robust network among leaders within consumer, manufacturing, and industrial domains. Possesses an in-depth and holistic comprehension of cybersecurity spanning people, processes, and technology. Recognises the alignment of cybersecurity with broader business goals and organisational culture. Demonstrates adept project management abilities, leveraging extensive cybersecurity expertise. Skilled in project and team management, with the capacity to comprehend broader initiatives from initial scope to eventual execution. Extensive experience in Digital Trust & Cyber Security consulting, with a proven history of contributing valuable insights to projects. Substantial background in IT / Technical program delivery within consumer, manufacturing, or industrial sectors, showcasing an ability to navigate and deliver technical initiatives effectively. Skilled in crafting compelling proposals and other business development materials. Proficient in cultivating opportunities within the client base and network. Holds Cyber Security accreditations/qualifications, indicating a solid foundation in the field. Well-versed in the latest technology trends and challenges, keeping knowledge up-to-date. Brings significant sector-specific experience within consumer manufacturing or industrial domains, contributing domain-specific insights. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) 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. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. 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're committed to advancing equality.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 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 and Python Software Developer - London We're looking to recruit a Data Scientist and Python Software Developer with data science skills to join a product team that is focused on building well engineered products. The products provide an intuitive way for retailers and suppliers to interact and consume 'big data' analytics to make better business decisions. This role would consist of working together with a team of statistical analysts, understanding their methodologies and algorithms, and turning them into production ready code written in Python. This role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with REST API's Any of the following skills would be an added bonus: Has run code across Hadoop/MapReduce clusters Has code running in a production environment Used SAS before (or at least can decipher SAS code) Worked with very large data sets before (billions of records) Knowledge of SQL/NoSQL database Knowledge or experience in D3.js Experience acting as a mentor/trainer in Python This is 6 month assignment in London with travel to Paris and Munich. Please send your CV to us in Word format along with daily rate and availability.

We are the industry experts delivering actionable maritime insight, data, technology, and analytics trusted by 60,000 professionals across the globe to drive commercial advantage, evaluate risk, and support the efficient and lawful movement of seaborne trade. Our data is collected only from the most reputable partners and accurate sources, many of which are exclusive to us and our customers. Our advanced analytics, artificial intelligence, and industry expertise transform our unparalleled data into powerful insight delivered through data and analytics platforms and services, news and commentary, and publications that help professionals in maritime operations, risk, and compliance stay well informed. Leading seaborne trade through change with data transparency, innovative technology, and human ingenuity. Role Profile The Data Scientist will join our advanced analytics group to assist us in building various advanced statistical, deterministic and machine learning models to create behavioural profiling on a range of data features relating to the global shipping fleet. This role involves leading a team and customer-facing interactions: Analytical model explainability is a core principle in how we develop models, and our data scientists assist sales and product colleagues with articulating to customers the quality of our analytical models. The role will report to Data Science & Analytics Manager and will be based in the company headquarters in London. Key Responsibilities Analytics / Machine modelling: Manage a multi-location and in-house team to deliver high performance, motivate and lead on career development opportunities Ability to evangelize next-generation infrastructure in analytics space (batch, near real-time, real-time technologies), using both SAS components and AWS tooling (e.g., Redshift, SQS, Kinesis) Strong familiarity with spatial-temporal data sets, with exposure to maritime data preferred Experienced in evaluating, training, and communicating the performance of ML models (e.g., supervised models, such as gradient boosting, logistic regressions etc. and non-supervised approaches, including clustering) Advise product stakeholders on feature and modelling accuracy and potential iterations which may drive improved model reliability and accuracy. Develop a testing framework and test model quality Experience with deployment to production, using standard tools including GitHub, Jenkins, Sagemaker, Docker etc Advanced programming skills in SQL, SAS (desired), Python, and the ability to write production-level code Familiarity with the most standard Python libraries used in ML (e.g., Scikit-Learn, Pandas, Numpy, LightGBM, XGBoost, just to name a few) Foster new and innovative machine-learning techniques and approaches General: Passionate for continuous learning, experimenting, and applying open-source technologies within the machine modelling space Work closely with several data engineering and software engineering scrum teams to incorporate both new and enhancements to models to customer-facing applications Eager to assure quality by a helping in developing strong validation and verification checks in the data engineering and modelling solutions Provides strong technical expertise in adopting and contributing to open-source technologies related to Big Data and analytics Drive significant technology initiatives end-to-end and across multiple layers of data and analytics engineering What we are looking for: Essential Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field. PhD is a plus Proven proficiency with SQL and Python for data extraction, analysis, and modelling Strong understanding of machine learning algorithms, predictive modelling, and data mining Excellent communication skills, with the ability to explain complex concepts to a non-technical audience Highly analytical and detail-oriented with a passion for digging into data and problem-solving Proficiency in developing code with Python and SQL Desirable: Experience in developing analytical models using the SAS platform, and/or experience writing models in SAS Proficiency with SAS Base Experience with AWS or similar cloud-based environments Prior experience in the Maritime industry, specific knowledge of AIS (Automatic Identification System) messages Our Promise to You - Company Benefits 25 Days Holiday rising to 27 after 2 years' service Day off for your birthday - because you deserve to celebrate Life Assurance for 4 x Salary Company pension scheme: employee contribution of 5% basic salary, matched by an employer contribution of 5% Up to 4 Days Paid Volunteering per year to support causes you care about Additional leave for life events such as getting married or moving house Healthy Lifestyle Subsidy up to £250 annually Enhanced Family Leave including maternity, paternity, and shared parental leave Work from anywhere policy (up to 4 weeks per year, subject to approval) - giving you the flexibility to blend work and life on your terms Cycle to Work scheme Flexible benefits: Private Healthcare Plan, Dental Insurance, Medical Expenses Cash Plan, Health Screening, Critical Illness Cover, Employee Assistance Programme and option to purchase 3 additional days of annual leave. We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't fit all the requirements. If you're excited about working for us and have most, but not all the skills or experience we're looking for, please go ahead and apply. You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. We do not discriminate based on race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics under federal, state or local law. Please let us know of any adjustments we need to make for you to show us your best self.