can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machinelearning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining … Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machinelearning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machinelearning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for More ❯
a Principal Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You'll bring deep expertise in large language models (LLMs), information retrieval, and machinelearning to improve the quality and scalability of M365 Copilot.You'll partner closely with engineering and product teams to innovate, design and evaluate end-to-end AI solutions … technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. Enhancing Copilot Search by developing novel content representation models. Building the next … Math, Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, MachineLearning, Natural Language Processing, and Deep Learning are considered as well. Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking More ❯
organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machinelearning models, analysing complex datasets, and collaborating closely with cross-functional teams to integrate data solutions into broader business strategies! Embedded within a dynamic Data Science team, you … company's success. This role offers the opportunity to make a tangible difference and leave a lasting impact on the organisation's growth! Job Goals Design and implement advanced machinelearning models to solve complex business problems. Optimise the performance of existing models and address weaknesses through detailed analysis. Collaborate with cross-functional teams to integrate analytics solutions … language such as Python, with experience in using Git for version control. Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machinelearning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on More ❯
and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machinelearning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for MachineLearning, Azure MachineLearning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯
East London, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machinelearning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for MachineLearning, Azure MachineLearning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machinelearning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for MachineLearning, Azure MachineLearning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯
and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machinelearning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for MachineLearning, Azure MachineLearning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯
Central London / West End, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machinelearning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for MachineLearning, Azure MachineLearning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯
Job Profile We are seeking a highly experienced and strategic Principal Product Manager - Data Science & MachineLearning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machinelearning solutions that enhance user experience and drive business impact. … the product vision, strategy, and roadmap for machinelearning and data science initiatives. Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models. Identify customer and business problems that can be addressed through AI/ML solutions. Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities. … into production environments. Develop success metrics and monitor the impact of machinelearning initiatives on key business KPIs. Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products. Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities. Required Skills, Qualifications, and More ❯
designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machinelearning operations (MLOps) practices. Key Responsibilities Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs … Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives. Supporting MLOps Practices: Collaborate with data scientists and machinelearning engineers to design and implement data infrastructure and processes that support machinelearning model development, deployment, and maintenance. Ensuring Data Security and Compliance: Implement security … Extensive experience in data architecture design and implementation. Strong knowledge of data engineering principles and practices. Expertise in data warehousing, data modelling, and data integration. Experience in MLOps and machinelearning pipelines. Proficiency in SQL and data manipulation languages. Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on More ❯
Role Depop is looking for a Senior MachineLearning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machinelearning models and infrastructure, such as product matching models, image embedding services, and … to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability. Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team. Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping. Communicate technical … Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles. Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members. Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders. Bonus Points More ❯
testing aspects, identification of risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including — but not limited to — analytics, machinelearning, data mining, compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different …/or engineering problems and suitably designing data architectures You have led client delivery across a range of projects for delivering data platforms, e.g. data analysis, ETL/ELT, machinelearning pipelines/deployments, business intelligence reporting, data security. You have proven experience in their technologies You have developed data governance plans that are in line with ethical More ❯
in the UK however we have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities for our customers. We therefore … creativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them MachineLearning software e.g. Amazon and Azure machinelearning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker More ❯
AI strategy in alignment with business and IT objectives • Collaborate with C-suite, business units and technology leaders to identify AI opportunities • Design scalable, secure and resilient AI/ML solutions and frameworks across the enterprise • Develop reference architectures and best practices for AI integration, deployment and lifecycle management • Oversee the integration of AI solutions with existing enterprise systems, data … and performance monitoring • Establish guardrails for ethical and responsible AI usage Required qualifications to be successful in this role: • Proven experience in enterprise architecture, projects specifically in AI/ML systems design • Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP) • Strong experience with data architecture, pipelines and governance (e.g., data … as finance, healthcare or retail • Understanding of GenAI (e.g. LLMs), NLP, computer vision or reinforcement learning • Experience with containerisation, orchestration (e.g., Docker, Kubernetes) and CI/CD for ML #CF-1 Skills: Leadership What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and More ❯
fostering collaboration across teams Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio Develop advanced machinelearning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis … years in a senior role, preferably in gaming or a similar digital product company Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field Expert knowledge of statistics, machinelearning, and causal inference techniques with demonstrated ability to apply them to real-world business problems Mastery of programming languages such as Python and SQL, with experience building More ❯
software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machinelearning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow Personal Attributes Strong academic record and a degree with high mathematical and computing content … of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and MachineLearning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. … guitars, ping-pong and table-football, and a piano We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
QBE Management Services (UK) Limited
demand domain expertise while delivering innovative solutions that shape underwriting, pricing, claims, and customer strategy. Your new role: Deliver actionable data-driven insights to the business via advanced analytics, machinelearning and AI. Work both independently and collaboratively on data science projects across business functions, including underwriting, claims, pricing, and customer analytics. Present clear and well-organised analyses … requirements (e.g. GDPR, EU AI Act) and are supported by clear, comprehensive documentation. About you: Significant data science experience preferably within financial services, ideally in general insurance. Experience applying machinelearning and AI techniques to real-world business problems. Ability to derive meaningful insights from structured and unstructured datasets of varying sizes. Track record of implementing impactful models More ❯
products Build predictive models for various business applications (e.g., Research Pricing, recommendation systems). Optimize and fine-tune existing models for improved performance, efficiency, and accuracy. Develop and implement machinelearning models using Python and relevant libraries Communicate findings and results to both technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of … Snowflake or similar Experience with delivering data products to clients via APIs Familiarity with data visualization tools Knowledge of locating, assessing and integrating third party data-sets Experience with machinelearning techniques and libraries (e.g., regression, classification, clustering, neural networks). Solid understanding of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS More ❯
fostering collaboration across teams Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio Develop advanced machinelearning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis … years in a senior role, preferably in gaming or a similar digital product company Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field Expert knowledge of statistics, machinelearning, and causal inference techniques with demonstrated ability to apply them to real-world business problems Mastery of programming languages such as Python and SQL, with experience building More ❯
fostering collaboration across teams Define and implement our data science strategy, aligning it with business objectives and ensuring that data insights drive key decisions across the studio Develop advanced machinelearning models, predictive analytics systems, and statistical frameworks to optimize player engagement, retention, and monetization Create and enhance performance marketing models to improve user acquisition efficiency, ROI analysis … years in a senior role, preferably in gaming or a similar digital product company Advanced degree in Computer Science, Statistics, Mathematics, or related quantitative field Expert knowledge of statistics, machinelearning, and causal inference techniques with demonstrated ability to apply them to real-world business problems Mastery of programming languages such as Python and SQL, with experience building More ❯
with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Manager Business Intelligence Engineer, III at Amazon works on real world problems on a global … complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machinelearning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that More ❯
with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer II at Amazon works on real world problems on a global scale … complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machinelearning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that More ❯
platforms (AWS, Azure, or GCP) and big data environments. MBA or other relevant advanced degree. What We Offer Access to cutting-edge tools and world-class training in AI, machinelearning, and advanced analytics. A collaborative culture that values diversity of thought and innovation. Opportunities to work with Fortune 500 clients and tackle real-world marketing challenges . … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is … their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit More ❯
connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we’ll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where … innovation and attracting new talent in healthcare. PREMIER Taking CX to the next level with AI for 200,000 members. INSTITUTE OF CHARTERED ACCOUNTANTS Empowering the evolution of online learning for a leading global platform. LINKEDIN LEARNING Improving health and well-being through data transformation. GSK BOSCH BREWDOG Empowering the actuarial community to solve problems with R. SWISS More ❯
skills. Ability to translate data into business strategies. Strong communication skills, including presentation and storytelling. Knowledge of investment, valuation, and growth principles. Advanced Python and SQL skills. Experience with machinelearning and large datasets. Skills in data visualization and statistical modeling. Familiarity with AWS and Git. Company Information The Carlyle Group (NASDAQ: CG) manages $453 billion in assets More ❯