proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decisiontrees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively More ❯
proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decisiontrees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques (e.g., regression, machine learning, decisiontrees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and More ❯
Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are … think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for … related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decisiontrees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to More ❯
Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are … think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for … related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decisiontrees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to More ❯
Responsibilities: Strategic Ownership : Define and drive the vision, roadmap and implementation of the orchestration stack, ensuring alignment with broader digital procurement strategy. Framework Design : Develop detailed orchestration frameworks, decisiontrees, and process flows, with a strong focus on user experience, policy alignment, and scalable deployment. Integration Leadership : Lead integration across intake-to-pay touchpoints (e.g. guided buying, sourcing More ❯
Responsibilities: Strategic Ownership : Define and drive the vision, roadmap and implementation of the orchestration stack, ensuring alignment with broader digital procurement strategy. Framework Design : Develop detailed orchestration frameworks, decisiontrees, and process flows, with a strong focus on user experience, policy alignment, and scalable deployment. Integration Leadership : Lead integration across intake-to-pay touchpoints (e.g. guided buying, sourcing More ❯
shape the brands of tomorrow by better understanding people everywhere. About the job As a Senior Data Scientist, you will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business … control. Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decisiontrees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on experience with cloud platforms such as AWS or Azure. We're … shape the brands of tomorrow by better understanding people everywhere. About the job As a Senior Data Scientist, you will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business More ❯
benefit the business, conduct ongoing cost negotiations. Create or update all service documentation and communicate changes across affected teams. Documentation to include procedural documentation and process flows and decision trees. Execute data analysis on the vendor to ensure service is operating effectively for the business. Create a global overview of vendor charges. Execute data analysis on the charges … in Microsoft office. Has used project tools such as Jira, Confluence, Miro, BI, ThoughtSpot or similar. COMPETENCIES Managing customer service standards and performance Developing people and teams Leadership Decision making Business acumen Resilience and drive Communication and stakeholder management CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of More ❯
benefit the business, conduct ongoing cost negotiations. Create or update all service documentation and communicate changes across affected teams. Documentation to include procedural documentation and process flows and decision trees. Execute data analysis on the vendor to ensure service is operating effectively for the business. Create a global overview of vendor charges. Execute data analysis on the charges … in Microsoft office. Has used project tools such as Jira, Confluence, Miro, BI, ThoughtSpot or similar. COMPETENCIES Managing customer service standards and performance Developing people and teams Leadership Decision making Business acumen Resilience and drive Communication and stakeholder management CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of More ❯