Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team?MMS is aaward-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate.We support the … pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team … Visit or follow MMS on LinkedIn . We are looking for a passionate and motivated Senior Software Scientist to take on a critical role at the interface between clinical datascience and software development on our KerusCloud platform. Responsibilities: Develop a solid understanding of the development architecture of KerusCloud. Develop novel software to aid the design of complex More ❯
Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team?MMS is aaward-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate.We support the … pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team … Visit or follow MMS on LinkedIn . We are looking for a passionate and motivated Senior Software Scientist to take on a critical role at the interface between clinical datascience and software development on our KerusCloud platform. Responsibilities: Develop a solid understanding of the development architecture of KerusCloud. Develop novel software to aid the design of complex More ❯
Senior Software Engineer Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify’s post-sales orchestration platform. This is a remarkable opportunity for someone with back-end … participate in design and quality discussions. Initial responsibilities include building out system microservices, implementing customer-facing and internal interfaces, developing cloud services, supporting application integrations and working with the datascience team to build models and simulations. As one of the first hires at a venture-track company, this role provides an opportunity to grow with the company … are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below. * Bachelors in Computer Science or related field. * 7+ years of experience working as a software engineer building applications in a high growth, startup environment. * Strong proficiency in web application development, including dataMore ❯
The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, DataScience, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. Are you passionate about developing software … full-stack development, scripting, and collaborating with end users and partners across the community. You will play a key role in shaping and maintaining a high-profile, large-scale datascience platform that supports thousands of users. You will design, build, and deploy solutions tailored to the unique requirements of data scientists and key partners, enabling advanced … analytics and decision-making. Additionally, you will lead efforts to transition legacy datascience environments to modern operating systems, enhancing security, efficiency, and scalability. We're a team that values collaboration, innovation, and curiosity. If you're a builder who loves solving complex technical problems and is always looking to grow your skill set, this is the role More ❯
Sevenoaks, Kent, England, United Kingdom Hybrid / WFH Options
GerrardWhite
in to this Technical Pricing Manager role to deliver and develop high-performing retail pricing models and optimisations using innovative approaches. You'll be a key player in embedding datascience into our pricing strategy and building models that directly impact commercial success. What You’ll Do: Deliver end-to-end pricing models using our tailored pricing pipeline … models and optimise prices Identify and implement process improvements to enhance pricing performance Lead and contribute to R&D efforts for innovative modelling approaches Integrate tools and outputs from datascience teams Ensure compliance with pricing governance and controls Collaborate with Commercial Pricing to align models to business goals Mentor and support junior analysts and team members What … Mathematics , or a related analytical field Experience in a pricing or actuarial role in general insurance Hands-on experience with Earnix or Radar Proficient in Python or R for data analysis and modelling Experience applying advanced machine learning to pricing Strong communication skills to explain technical ideas to non-technical audiences Proven commercial impact from pricing or R&D More ❯
a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyperparameters to maximise throughput while maintaining computational … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, DataScience, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Senior Computer More ❯
product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with Applied Scientists to implement … and innovation • Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques • Act as a bridge between science and software teams to deliver optimized solutions • Communicate technical concepts to stakeholders at all levels • Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics • Monitor and … worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience. BASIC QUALIFICATIONS - Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - Strong hands-on More ❯
Product Officer (CPO) Start Date: July 2025 Employment Type: Full-time, Permanent About Marley Health Marley Health is redefining proactive pet care through clinically validated biomarkers, wearable technology, and data-powered diagnostics. Spun out of the University of Oxford and the Royal Veterinary College, we’re building a connected ecosystem for pet health that empowers veterinarians, insurers, and pet … parents alike. The Role - Purpose We are looking for an experienced Machine Learning/Data Engineer to join the team - someone who is a collaborative doer and is eager to learn from and work with some of the leading minds in clinical machine learning and veterinary health data. This is a technical, delivery focused role that blends engineering responsibility … with practical involvement in the essentials of getting data into product. You will need a good background in engineering practices for machine learning in the signal processing space. You’ll like working in a small team wearing multiple hats and creative problem solving. What you’ll do – Key Responsibilities : Ensure that data is consumable by partners and third More ❯
Product Officer (CPO) Start Date: July 2025 Employment Type: Full-time, Permanent About Marley Health Marley Health is redefining proactive pet care through clinically validated biomarkers, wearable technology, and data-powered diagnostics. Spun out of the University of Oxford and the Royal Veterinary College, we’re building a connected ecosystem for pet health that empowers veterinarians, insurers, and pet … parents alike. The Role - Purpose We are looking for an experienced Machine Learning/Data Engineer to join the team - someone who is a collaborative doer and is eager to learn from and work with some of the leading minds in clinical machine learning and veterinary health data. This is a technical, delivery focused role that blends engineering responsibility … with practical involvement in the essentials of getting data into product. You will need a good background in engineering practices for machine learning in the signal processing space. You’ll like working in a small team wearing multiple hats and creative problem solving. What you’ll do – Key Responsibilities : Ensure that data is consumable by partners and third More ❯
product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art LLM models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with GenAI models. This will require collaboration with local and global teams … and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by understand the data need, get data/pull … the data and analyze it to form the hypothesis and validate it using data. • Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. • Developing and implementing machine learning models and deep learning architectures to improve NLP systems. • Collaborate with seasoned Applied Scientists and propose best in class More ❯
This position is responsible for leading and managing a small team of Computational Scientists. The team supports pharmaceutical development programs, clients, and academic/regulatory collaborations through modelling, statistics, datascience, and software development activities. JOB DETAILS/RESPONSIBILITIES Job descriptions reflect approximately 85% of the responsibilities and are not exhaustive. Other activities within reasonable scope of the … of client and internal research and development projects in the field of computational pharmaceutics. Act as the primary point of contact for problem solving related to computational pharmaceutics (including data analysis, statistics, and physiologically based pharmacokinetic modelling). Author and review computational reports for scientific and technical accuracy, and review reports from other teams within your area of expertise. … values and leadership principles. Engage proactively with Environment, Health, Safety and Sustainability policies to ensure a safe working environment. Comply with quality policies to deliver consistent, high-quality work, data, and reports. Read and understand assigned Standard Operating Procedures (SOPs) within specified timeframes. Maintain up-to-date training records and submit for regular review. Submit timesheets, expense claims, and More ❯
a dynamic and innovative environment. Opportunity to work on impact projects with a focus on customer engagement. Mentorship and guidance from experienced professionals. Exposure to the Human Health Digital, Data & Analytics organisation. Role Functions: Assist in the deployment of the regional customer engagement tool into the UK market. Collaborate with stakeholders within and above the market to ensure alignment. … Provide analytical support on customer engagement topics, including face-to-face interactions, email metrics, and website analytics. Contribute to the development of strategies and recommendations based on data analysis. Work closely with the UK Data & Analytics team and the broader CER D&A team. Experience, Knowledge, Skills & Qualifications: Recent graduate with a degree in STEM, DataScience, or a related field. Strong analytical and problem-solving skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Python). Excellent presentation skills Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Interest in customer engagement and market research. If you are a recent graduate with a passion for dataMore ❯
of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That's why we created Ravio. We help many of the world's most innovative and ambitious companies build stronger teams and … reach their goals through better compensation. Our real-time data platform brings compensation into the modern age with clarity and transparency. We're passionate about ensuring everyone is paid what they deserve, no matter their background or circumstances. We believe that when compensation is done right, everyone wins. Ravio is growing fast, which means you can too. Joining a … exciting to you, you're in the right place. The Role As the Benchmarking and Insights Manager at Ravio, you will play a pivotal role in shaping how compensation data is turned into actionable insights for Ravio customers and the wider market. This is the perfect opportunity for someone with a passion for compensation to become an authoritative voice More ❯
everything we do to support customers that are struggling with their bills. We're unique because we are genuinely a hybrid of a few different skills and mindsets: 1. Data analytics is our core skillset. Everyone in the team is very strong in this area 2. We have a firm understanding of the needs of our customers and the … to customers What you'll do Manage a small team of analysts Take ownership of our management of customers who are struggling with their payments Deep dive investigations into data in order to surface insight for decision making Develop our reporting suite through the latest BI tools & technology stack Develop our empathic approaches towards vulnerable customers Create strategies to … fraud Develop our machine learning models & policies that drive sophisticated decisions Proactively identify new areas of opportunity Challenge the status quo in terms of KPIs, objectives & strategy Communicate complex data concepts effectively and confidently Build great relationships with DataScience, Technology, Finance, Collections, Ops and other stakeholders What you'll need Excellent SQL skills Python dataMore ❯
we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients, including some of the world's most successful hedge funds, banks, and asset managers, to enhance returns, reduce risk, and … GenAI and SaaS services, designed specifically for financial professionals. Join a Company that is Powering the Future of Finance with AI RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. We're now preparing to launch a next-generation platform aimed … drive sales of RavenPack's industry-leading GenAI and SaaS services. In this role, you'll play a pivotal part in democratizing access to real-time, high-quality financial data through our comprehensive suite of offerings, including our latest GenAI platform, Reporting directly to the Head of US Sales, you will work closely with our Client Support, DataMore ❯
Business Unit: Group Risk, Model Risk & Analytics Career Direction : Utilising our Data Role Focus: Risk and Financial Modelling Peer Group : Management & Senior Specialists (B) Salary range: £60,000 - £75,000 per annum Location: UK, Hybrid, with team meetups in one of our hubs (Glasgow/Gosforth) x2 per year Contract type : Permanent Live to inspire change. Live a life … comprehensive test plans across the model lifecycle, including test objectives, scope and success criteria Verifying the quality, consistency and relevance of input datasets by creating appropriate testing pipelines (e.g. data and model drift) using conventional and novel tools relating to data testing Evaluating model performance under stress scenarios and testing model scalability in production-like environments Designing effective … integration testing that ensures seamless data flow and compatibility with overall system architectures Project leading and supporting a team of expert model validators covering an array of model types and performing highly quantitative process verification activities as part of validations Documenting and presenting validation findings to technical forums and governance committees, while producing summary reports and relevant Management Information More ❯
expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritize simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses. It's an exciting time to join our consulting team … a digital-first approach, strengthening our global presence, and building strong client relationships. The Consulting Digital Team (CDT) serves as the digital hub of our consulting operations, transforming complex data into actionable business intelligence. This specialized unit applies digital skills across all six of our consulting solutions: Deal Services, Business Transformation, Risk and Governance, Finance Function Support, Restructuring, and … Forensic & Investigation Services. The team provides comprehensive analytical support including advanced data analytics, data visualization, analytics automation, and artificial intelligence. Working closely with consulting teams, they translate business challenges into analytical-driven solutions. The CDT members possess a diverse skillset spanning datascience, business analysis, data analytics, and programming, enabling them to tackle complex problems More ❯
Solution Architect will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. This role requires a deep understanding of AI technologies, machine learning, and datascience, as well as the ability to collaborate with clients and internal teams to deliver impactful solutions. Your future duties and responsibilities: • Design and architect AI solutions based … diagrams, technical specifications, and implementation plans. • Lead the implementation of AI projects, ensuring they are delivered on time and within budget. • Provide technical leadership and guidance to development and datascience teams. • Ensure AI solutions are scalable, secure, and maintainable. • Conduct regular reviews of existing AI solutions to identify areas for improvement. • Stay up-to-date with the … practices. Required qualifications to be successful in this role: • Proven experience as an Architect working on commercial Artificial Intelligence projects • Strong understanding of AI technologies, machine learning algorithms, and datascience principles. • Excellent problem-solving and analytical skills. • Ability to communicate complex technical concepts to non-technical stakeholders. • Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch More ❯
Solution Architect will be responsible for designing, developing, and implementing AI solutions that address complex business challenges. This role requires a deep understanding of AI technologies, machine learning, and datascience, as well as the ability to collaborate with clients and internal teams to deliver impactful solutions. Your future duties and responsibilities: • Design and architect AI solutions based … diagrams, technical specifications, and implementation plans. • Lead the implementation of AI projects, ensuring they are delivered on time and within budget. • Provide technical leadership and guidance to development and datascience teams. • Ensure AI solutions are scalable, secure, and maintainable. • Conduct regular reviews of existing AI solutions to identify areas for improvement. • Stay up-to-date with the … practices. Required qualifications to be successful in this role: • Proven experience as an Architect working on commercial Artificial Intelligence projects • Strong understanding of AI technologies, machine learning algorithms, and datascience principles. • Excellent problem-solving and analytical skills. • Ability to communicate complex technical concepts to non-technical stakeholders. • Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch More ❯
a dynamic and innovative environment. Opportunity to work on impact projects with a focus on customer engagement. Mentorship and guidance from experienced professionals. Exposure to the Human Health Digital, Data & Analytics organisation. Role Functions: Assist in the deployment of the regional customer engagement tool into the UK market. Collaborate with stakeholders within and above the market to ensure alignment. … Provide analytical support on customer engagement topics, including face-to-face interactions, email metrics, and website analytics. Contribute to the development of strategies and recommendations based on data analysis. Work closely with the UK Data & Analytics team and the broader CER D&A team. Experience, Knowledge, Skills & Qualifications: Recent graduate with a degree in STEM, DataScience, or a related field. Strong analytical and problem-solving skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Python). Excellent presentation skills Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Interest in customer engagement and market research. If you are a recent graduate with a passion for dataMore ❯
across products powered by LLMs, forecasting models, and scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and DataScience to deliver a forward-thinking technology roadmap. Lead, mentor, and scale a high-performing engineering … team (currently ~10), nurturing a culture of ownership, speed, and technical excellence. Make key architectural decisions, ensuring system scalability and data infrastructure performance. Maintain high engineering standards while remaining close to critical technical choices. Recruit top talent and build a strong, inclusive team culture. Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations. Sit on the leadership … act as a key bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus. Strong technical foundation More ❯
across products powered by LLMs, forecasting models, and scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and DataScience to deliver a forward-thinking technology roadmap. Lead, mentor, and scale a high-performing engineering … team (currently ~10), nurturing a culture of ownership, speed, and technical excellence. Make key architectural decisions, ensuring system scalability and data infrastructure performance. Maintain high engineering standards while remaining close to critical technical choices. Recruit top talent and build a strong, inclusive team culture. Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations. Sit on the leadership … act as a key bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus. Strong technical foundation More ❯
Chief Technology Officer (CTO) to lead the build of a proprietary prop trading platform from the ground up. The company is developing an AI-powered system that merges advanced datascience, algorithmic trading, and intuitive interfaces to drive next-generation financial strategies. The Role As CTO, you'll define and execute the technology roadmap, architect the entire platform … secure, scalable, and intelligent trading system from scratch. Key Responsibilities Lead the end-to-end architecture and development of a greenfield trading platform Oversee integration of real-time market data, broker APIs, and strategy deployment via a custom DSL Build interactive trading interfaces (React/TypeScript) Drive DevOps, CI/CD, cloud infrastructure (Azure preferred), and cybersecurity Hire, mentor … and audit readiness What We're Looking For 10+ years in tech leadership, with 5+ in fintech, trading tech, or AI startups Proven experience building and scaling real-time, data-intensive systems from scratch Proficiency in C# for high-performance, low-latency trading systems Strong backend (Python, Node.js, Rust) and frontend (React, Next.js) expertise Deep experience with cloud platforms More ❯
highly motivated and experienced Product Manager to join our Digital Member Engagement and Experience team, reporting to the Senior Manager. The ideal candidate will have a strong background in data analysis, machine learning, artificial intelligence, and predictive analytics. This role requires a strategic thinker who can drive product development from ideation to launch, ensuring alignment with business goals and … messaging, email, in-app content and chatbot interactions Experience with segmentation models, next best action frameworks, and tailoring messages by risk level or program eligibility Ability to partner with datascience, analytics and engineering to define data requirements and APIs for personalization engines Work with AI-driven recommendation models and feedback loops Develop and manage a comprehensive … to our team's goals and advance cost of health care initiatives Ensure all digital engagement initiatives comply with healthcare regulations and privacy standards, maintaining the highest levels of data integrity and security Report regularly to senior management and stakeholders on the progress, impact, and strategic adjustments of digital personalization initiatives Mentor and guide team members, fostering a culture More ❯
Come join us at the heart of trust! We're looking for a curious and analytical Fraud Detection Analyst to join our global Fraud & Investigations team. You'll analyse data, spot patterns, and write detection rules that help stop fraud in its tracks - playing a vital role in protecting consumers, businesses, and the integrity of our platform. You'll … work on complex, often ambiguous challenges in the ever-evolving world of online trust. If you love solving problems, diving into data, and making a real difference - this is your chance. You'll be joining a collaborative, inquisitive team that values transparency, fairness, and a good sense of humour. As part of the wider Trust & Transparency team, we're … across our platform. Carry out ad-hoc investigations of escalated cases related to potential misuse of our platform and assist with media, legal, and customer cases. Partner with our datascience experts to propel our technological and procedural approaches to the forefront of identifying fraudulent activity. Work closely with our engineering teams to enhance internal tools and databases More ❯
