of incredible growth and success, which has culminated in receiving many prestigious awards, such as Best Places to Work and Vitality - Britain's Healthiest Workplace. The Position The Digital, Data and IT, Research and Early Development (DD&IT-R&ED) team is on the lookout for a passionate and innovative Lead AI/ML Engineer with solid expertise in … working directly with AI/ML scientists on optimization and production deployment of solutions, creating blueprints, and acting as an internal consultant to transition ideas from prototype to production. Data Exploration & Visualization: Exploring and visualizing data to understand those and identify differences in data distribution that could affect model performance when deployed in real-world scenarios. Data Quality Assurance: Verifying data quality and ensuring it through data cleaning and ML validation strategies. Scalable Solutions: Building training pipelines and components to ensure scalable ML solutions, address errors, and provide education to upskill teams working on ML, enhancing MLOps proficiency. We offer a flexible hybrid working model with 2 days from home and 2-3 days More ❯
expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards on risk and governance, our consulting experts work as a cohesive team. We focus on simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-ready businesses. It's an exciting time to join our consulting team … a digital-first approach, strengthening our global presence, and fostering 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, including 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, visualization, automation, and artificial intelligence. They work closely with consulting teams to translate business challenges into analytical solutions. The CDT members possess diverse skills in datascience, business analysis, data analytics, and programming, enabling them to develop innovative, data-driven solutions More ❯
Associate (Analytics Specialist) - London, Wroclaw Location London, Wroclaw Job Description Associate (Data Scientist) - London, Wroclaw About L.E.K. Consulting L.E.K. Consulting is a global strategy consulting firm that addresses the most critical commercial issues for the leaders of some of the world's most successful businesses. Clients come to us time and again because we are proven to act as … decisions at crucial moments, changing the trajectory of their enterprise, delivering improved business performance and creating greater shareholder returns. Our teams combine our core capabilities of research, benchmarking, modelling, data & analytics and strategy development to create game-changing insights and practical solutions that seize competitive advantage and unlock new growth opportunities. We enable clients to make critical decisions with … that are reused across the entire firm, and upskilling colleagues in using advanced analytical software You will be a fully-fledged member of both the Consulting practice and the Data & Analytics (D&A) team , enjoying the rapid learning curve of the Associate path while deepening your specialist technical expertise. The Associate (Analytics Specialist) role at L.E.K. offers exposure to More ❯
mentoring a team of business intelligence engineers and business analysts to deliver high-quality work, ensuring business needs are effectively communicated and met. You will be responsible for conducting data analysis and deep dives to determine actionable insights, trends, and patterns to help inform and drive decision-making. You will collaborate with various teams across Veeqo, including Product, Marketing … managing & prioritizing multiple projects simultaneously across the team, ensuring that they align with Veeqo's strategic priorities. BASIC QUALIFICATIONS Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory … and practice of information retrieval, datascience, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience with SQL Experience with data visualization using Tableau, Quicksight, or similar tools Experience in the data/BI space PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to More ❯
Location(s): Minster Building, 21 Mincing Lane, 2nd Floor, London, EC3R 7AG, GB Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome … values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Applied experience collecting, processing, and using data to solve a problem or answer a question is required as successful candidates will be drawing upon this skillset in their daily work. Possess a working knowledge of a … business domain/catastrophe modeling. o Database management/working with relational databases (SQL) . o Moody's RMS products (e.g. RiskLink, Risk Modeler, Intelligent Risk Platform). o Data engineering, data analytics, data science. o Collaborative code development using version control software (e.g., GitHub). o Kubernetes. Education A Bachelor's/undergraduate degree is required More ❯
performance by developing risk models , hypothesis testing , and monitoring portfolio trends . Collaboration is key at Zopa which means you'll work closely with our cross-functional teams including datascience, product, and engineers to develop and drive growth strategies , influence strategic decisions and identify new opportunities through the application of leading-edge analytical techniques. We look for … car and point-of-sale finance, which all pose different analytical challenges. - You work with some of the best tech in the industry, such as powerful Python instances for data analysis and machine learning and Redshift for data warehousing. - All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in what we can … implement. - You work in a wider cross-functional product, credit, and datascience team, so you will have the opportunity to work alongside, learn from and mentor some of the brightest minds and friendliest people in the industry! A day in the life Optimising credit strategy and decisioning for one of our lending products, either through the deployment More ❯
Design and architect solutions using state-of-the-art frameworks and cloud technologies. Build machine learning models for marketing attribution, predicting customer propensity, segmenting customer groups based on behavioral data, and recommending products and/or content. Fine-tune Large Language Models to business-specific use cases. Deploy MLOps pipelines together with our ML engineers. Work closely with data engineers, fellow data scientists/AI engineers, and consultants to ensure seamless integration and deployment of AI solutions that create business impact. Communicate with clients about complex solutions in an understandable way, deliver progress reports, and demonstrations of AI solutions. What We Are Looking For Degree in Computer Science, DataScience, Information Management, or a … of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Experience with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Ability to work with version control systems More ❯
for enhancing the efficiency and effectiveness of the EU AI Act technical governance process and contribute to process improvement initiatives, including considering tooling enhancements Minimum Qualifications Significant experience in datascience, machine learning/AI engineering, or related disciplines combined with recent experience in AI governance, and an interest in advancing a career in operational processes for technical … mindset Strong English language verbal and written communication skills, with an ability to craft messages that clearly and succinctly communicate key messages for senior audiences Critical thinker with a data-driven approach to problem solving, able to apply structured reasoning to support informed decision-making and desired outcomes Degree or equivalent experience in a relevant field (e.g., Computer Science, AI, DataScience, Statistics, Machine Learning, Engineering) Preferred Qualifications Experience managing a team, or of line management Knowledge of the EU AI Act and its obligations, and/or familiarity with adjacent regulations e.g., GDPR Familiarity with AI governance platforms and tooling Relevant industry certifications, incl. AI governance or Risk Management Familiarity with dashboarding tools (e.g. Tableau More ❯
Design and architect solutions using state-of-the-art frameworks and cloud technologies Build machine learning models for marketing attribution, predicting customer propensity, segmenting customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific use cases. Deploy MLOps pipelines together with our ML engineers. Work closely with data engineers, fellow data scientists/AI engineers and consultants to ensure seamless integration and deployment of AI solutions that create business impact. Communicate with clients about complex solutions in an understandable way, deliver progress reports and demonstrations of AI solutions. WHAT WE ARE LOOKING FOR Degree in Computer Science, DataScience, Information Management, or a … of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Experienced with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Ability to work with version control systems More ❯
of major pension funds, endowments, foundations, governments and other investors based in the U.S. and abroad. Position Overview: The successful candidate will work on some of the most challenging datascience problems in Responsible Investing. In this role, you will help design custom solutions to meet clients' sustainability needs and develop an understanding of emerging ESG trends and … Write clear, concise answers to clients' and prospects' questions, based on knowledge of Acadian's processes and pertinent new research. Explore structured and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. … We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ years of experience on the buy-side or sell-side. Strong communication skills with the ability to translate complex analytical insights for both technical and non-technical audiences. Well-organized and detail-oriented, with a methodical More ❯
Europe, now is the perfect time to join us on this high-speed journey. As an Insights Analyst in the Corporate Affairs team you will be involved in driving data led storytelling that supports our Communications, Industry Relations and Government Relations teams, across multiple geographies including the UK, France, Spain, Italy and the US. You will have a creative … mindset, deep diving into our extensive pool of data to find the right data points that tell the right stories, working with the wider team to drive our market prominence, business narrative and reputation within the rail industry and government. You will be part of the Corporate Affairs team, with a dotted line into the Trainline data organisation which consists of DataScience, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. Both the Corporate Affairs and data team sit at the forefront of Trainline's growth and market position as we work towards our goal of empowering greener travel choices. The role will initially be a 3 month fixed More ❯
evolving our Computerised Maintenance Management System (CMMS), ensuring it supports statutory, preventive, and predictive maintenance. You'll also drive the use of problem and defect management tools to support data-led decision-making. A key part of the role involves promoting a culture of continuous improvement within engineering and facilities teams. You'll lead change, ensure maintenance processes are … and Facilities teams to resolve recurring issues, support planning and sustainability efforts, and lead projects through both operational and off-peak seasons. Qualifications & Experience HNC or Degree in Engineering, DataScience, Business, Statistics, or Mathematics Strong experience with analytics and data visualisation tools (e.g. Power BI, Tableau, Quick Sight, QlikView) Lean Six Sigma certification or relevant experience More ❯
Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding … future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to … systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own More ❯
seamlessly integrate AI capabilities into daily productivity tools such as calendars, task managers, and communication apps. Create architectural blueprints for new AI features and services, considering factors such as data flow, processing requirements, and user experience. Collaborate with AI researchers, data scientists, and software engineers to translate cutting-edge AI research into practical, user-friendly applications. Establish best … to both technical and non-technical stakeholders. Mentor and guide junior architects and engineers, fostering a culture of innovation and technical excellence. Qualifications: Master's or Ph.D. in Computer Science, Software Engineering, or a related field, with 10+ years of experience in software architecture (including 5+ years in AI/ML systems). Proven track record of designing and …/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Familiarity with containerization (Docker, Kubernetes), RESTful APIs, microservices architecture, and big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language More ❯
engineers, fostering a culture of technical excellence and continuous improvement. Define and enforce best practices in software architecture, coding standards, security, scalability, and performance. Collaborate closely with product management, datascience, and other stakeholders to align technical strategy with business goals. Drive adoption and integration of advanced AI tools, frameworks, and platforms, keeping the team ahead in the … API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. … and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme Paid More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Reed.ai
engineers, fostering a culture of technical excellence and continuous improvement. Define and enforce best practices in software architecture, coding standards, security, scalability, and performance. Collaborate closely with product management, datascience, and other stakeholders to align technical strategy with business goals. Drive adoption and integration of advanced AI tools, frameworks, and platforms, keeping the team ahead in the … API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. … and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme Paid More ❯
Specialist from a top Russell Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or datascience, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to enhance decision-making, optimise processes … experiment with emerging AI technologies to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R … Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools More ❯
Specialist from a top Russell Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or datascience, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to enhance decision-making, optimise processes … experiment with emerging AI technologies to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R … Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools More ❯
Specialist from a top Russell Group university to join our dynamic team. This role is ideal for a candidate with a strong academic background in AI, machine learning, or datascience, combined with a keen understanding of real-world business applications. You will play a crucial role in leveraging AI-driven insights to enhance decision-making, optimise processes … experiment with emerging AI technologies to enhance company capabilities. Communicate technical concepts effectively to both technical and non-technical stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R … Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools More ❯
List as one of the fastest-growing companies to launch your career At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have … a real impact on the most important decisions for the business. Our platform is trusted and used by datascience teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. Our Mission To radically advance human decision-making. A world in which humans leverage trustworthy AI to solve … role, you will provide technical leadership in the development of our Causal AI platform, guiding both the vision and execution within our Product Engineering team, which includes software engineers, data scientists, and machine learning experts. While you will actively contribute to coding and algorithm development, you will also play a pivotal role in mentoring team members and driving innovation More ❯
exceptional analytical, quantitative and technical problem-solving skills with a structured mathematical approach and thought process You have an advanced degree in mathematics, statistics, physics, financial engineering or computer science You have at least 5 years of experience supporting a credit market-making desk or equivalent experience on both sell-side and buy-side firms You demonstrate an interest … in good software design principles and familiarity with collaborative software development process in a dynamic and demanding environment You have a strong software design and datascience skills You are a team player with excellent oral and written communication skills for interaction with trading, technology and control functions You demonstrate proactive attitude with a natural interest in learning More ❯
building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/DataScience libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features … mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI More ❯
around trust and mutual benefit, offering a unique alternative to traditional services by focusing on shared value rather than direct transactions. The company is at an exciting stage of data transformation. Over the past six months, they’ve built the foundations of a modern data platform, including hiring a data manager to oversee governance and integrations, a … data engineer, and most recently, a data scientist. With dbt introduced as part of a broader tech overhaul, the team is now looking for a dedicated Analytics Engineer to take ownership of the dbt layer and play a key role in shaping analytics best practices across the business. The Opportunity As the team scales, there's a clear … practice modelling highlight the need for a specialist. This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics More ❯
around trust and mutual benefit, offering a unique alternative to traditional services by focusing on shared value rather than direct transactions. The company is at an exciting stage of data transformation. Over the past six months, they’ve built the foundations of a modern data platform, including hiring a data manager to oversee governance and integrations, a … data engineer, and most recently, a data scientist. With dbt introduced as part of a broader tech overhaul, the team is now looking for a dedicated Analytics Engineer to take ownership of the dbt layer and play a key role in shaping analytics best practices across the business. The Opportunity As the team scales, there's a clear … practice modelling highlight the need for a specialist. This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics More ❯
ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalise the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. … ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift, concept drift, model performance degradation signals and ensure model retrain. Implement CI/CD pipelines for ML models and automate the deployment. Maintain relevant documentation. Requirements: Bachelor's … as a business analyst, with a focus on capturing and documenting business requirements and business processes. Strong understanding of banking and financial industry practices and regulations. Solid knowledge of Data Management process, data analysis and modeling techniques. Experience in monetary policy analysis (nice to have) Experience in time series database analysis Familiarity with business intelligence tools and concepts. More ❯
