Overview Join us in our mission to make money work for everyone. We're transforming traditional banking into something simple and accessible. Starting as a prepaid card, our product suite has expanded significantly in the UK over the last decade. We offer personal and business accounts, joint accounts, accounts for 16-17 year olds, a free kids account, and credit cards, along with exciting developments on the horizon. Our UK customers can also save, invest, and manage their pensions with us. With our distinctive hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service, we create magical moments for our customers! At Monzo, we prioritize solving problems over selling products. Location: London/Cardiff/UK Remote Salary: £86,000-105,000 + Benefits About Us We are dedicated to improving the lives of our 15+ million customers through user-friendly products and actionable insights that empower them to control their finances. Our credit products are vital to our mission and enable us to provide exceptional customer experiences while driving revenue. With strong growth and high engagement among our borrowers, we are enhancing our portfolios, including personal and business credit products across various markets. Role Senior Machine Learning Scientist in Borrowing, focusing on enhancing customer and business outcomes through automated decision-making using Machine Learning and statistical modeling. Primary concentration on credit risk modeling, also encompassing utilization, pricing, collections, and marketing optimization. Collaborate with a team of ML Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude. You Should Apply If You are result-oriented, motivated by the impact on customers and the business. You thrive in a fast-paced environment with significant autonomy. You're eager to expand your knowledge in both business and technology. Must Have Exceptional SQL and Python skills with a strong foundation in software and data engineering best practices. Deep knowledge of statistical and machine learning models-gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Comprehensive understanding of statistics: hypothesis testing, confidence intervals, bootstrap. Experience with end-to-end model development and maintenance for business-critical automated decision-making in a consumer-facing industry. Strong attention to detail while maintaining an understanding of the larger picture. Excellent communication skills to articulate complex problems. Ability to build mutual respect and trust among diverse teams. Nice to Have Experience in UK/EU retail lending for personal/business customers. Knowledge of ML model governance in a regulated industry. Experience using modern AI tools to enhance productivity. The Interview Process Our interview process includes: 30-minute Recruiter Call 45-minute Initial Call 60-minute ML Technical Skill Interview 60-minute Behavioral Interview All interviews are conducted via Google Meet and typically take 3-4 weeks, accommodating your availability. What's in It for You £86,000 to £105,000 plus stock options and benefits. We can assist with relocation to the UK and provide visa sponsorship. This role can be office-based in London with a hybrid working pattern or fully remote within the UK, with occasional travel to London. We support your home office setup, providing Macbooks and additional resources for remote workers. Enjoy flexible working hours tailored to suit you and your team's needs. A learning budget of £1,000 annually for books, training courses, and conferences. And much more, inquire about our full benefits package. Equal Opportunities Equal Opportunities for Everyone: We prioritize diversity and inclusion, striving for an environment where everyone can excel. We welcome applicants from all backgrounds and encourage individuals with varying identities to apply. If you prefer a specific name, please include it in your application; full or birth names aren't necessary at this stage. Company Monzo Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Machine Learning, Neural Networks, NLP, United Kingdom
28/07/2026
Full time
Overview Join us in our mission to make money work for everyone. We're transforming traditional banking into something simple and accessible. Starting as a prepaid card, our product suite has expanded significantly in the UK over the last decade. We offer personal and business accounts, joint accounts, accounts for 16-17 year olds, a free kids account, and credit cards, along with exciting developments on the horizon. Our UK customers can also save, invest, and manage their pensions with us. With our distinctive hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service, we create magical moments for our customers! At Monzo, we prioritize solving problems over selling products. Location: London/Cardiff/UK Remote Salary: £86,000-105,000 + Benefits About Us We are dedicated to improving the lives of our 15+ million customers through user-friendly products and actionable insights that empower them to control their finances. Our credit products are vital to our mission and enable us to provide exceptional customer experiences while driving revenue. With strong growth and high engagement among our borrowers, we are enhancing our portfolios, including personal and business credit products across various markets. Role Senior Machine Learning Scientist in Borrowing, focusing on enhancing customer and business outcomes through automated decision-making using Machine Learning and statistical modeling. Primary concentration on credit risk modeling, also encompassing utilization, pricing, collections, and marketing optimization. Collaborate with a team of ML Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude. You Should Apply If You are result-oriented, motivated by the impact on customers and the business. You thrive in a fast-paced environment with significant autonomy. You're eager to expand your knowledge in both business and technology. Must Have Exceptional SQL and Python skills with a strong foundation in software and data engineering best practices. Deep knowledge of statistical and machine learning models-gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Comprehensive understanding of statistics: hypothesis testing, confidence intervals, bootstrap. Experience with end-to-end model development and maintenance for business-critical automated decision-making in a consumer-facing industry. Strong attention to detail while maintaining an understanding of the larger picture. Excellent communication skills to articulate complex problems. Ability to build mutual respect and trust among diverse teams. Nice to Have Experience in UK/EU retail lending for personal/business customers. Knowledge of ML model governance in a regulated industry. Experience using modern AI tools to enhance productivity. The Interview Process Our interview process includes: 30-minute Recruiter Call 45-minute Initial Call 60-minute ML Technical Skill Interview 60-minute Behavioral Interview All interviews are conducted via Google Meet and typically take 3-4 weeks, accommodating your availability. What's in It for You £86,000 to £105,000 plus stock options and benefits. We can assist with relocation to the UK and provide visa sponsorship. This role can be office-based in London with a hybrid working pattern or fully remote within the UK, with occasional travel to London. We support your home office setup, providing Macbooks and additional resources for remote workers. Enjoy flexible working hours tailored to suit you and your team's needs. A learning budget of £1,000 annually for books, training courses, and conferences. And much more, inquire about our full benefits package. Equal Opportunities Equal Opportunities for Everyone: We prioritize diversity and inclusion, striving for an environment where everyone can excel. We welcome applicants from all backgrounds and encourage individuals with varying identities to apply. If you prefer a specific name, please include it in your application; full or birth names aren't necessary at this stage. Company Monzo Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Machine Learning, Neural Networks, NLP, United Kingdom
DV Cleared Data Science Specialist (AI & Machine Learning) Location: Cheltenham, Ipswich, or Manchester (100% On-site) Salary: Up to £100,000 + 10% Bonus Working Pattern: Full-Time (37.5 hours per week, Monday-Friday) Security Clearance: Active DV Clearance (10+ years UK residency required) About the Role We are seeking a Data Science Specialist to join a premier technology and defence practice. Sitting within a specialist team, this strategic and technical leadership role is responsible for maturing internal data science capabilities and maximizing the value of complex datasets across critical platforms. Leading an agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team of 6 data scientists across multiple agile projects. Advanced Data Exploitation: Drive the exploitation of complex data sets on critical customer platforms to deliver actionable outcomes. AI & Algorithm Development: Coordinate the design, build, and implementation of custom data models, intelligent algorithms, and machine learning solutions. Mentorship & Capability Building: Act as a senior technical authority to upskill and mentor team members in data science and AI practices. Essential Skills & Experience Programming & Scripting: Expert-level skills in interpreted and compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (eg, TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modelling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing project delivery, and operating independently with an innovation-focused mindset. Package & Benefits Competitive salary up to £100,000 £5,000 per annum DV allowance (payable monthly while holding active clearance in role) Up to 10% target annual bonus Market-leading pension scheme 25 days annual leave + bank holidays *Rates depend on experience and client requirements
28/07/2026
Full time
DV Cleared Data Science Specialist (AI & Machine Learning) Location: Cheltenham, Ipswich, or Manchester (100% On-site) Salary: Up to £100,000 + 10% Bonus Working Pattern: Full-Time (37.5 hours per week, Monday-Friday) Security Clearance: Active DV Clearance (10+ years UK residency required) About the Role We are seeking a Data Science Specialist to join a premier technology and defence practice. Sitting within a specialist team, this strategic and technical leadership role is responsible for maturing internal data science capabilities and maximizing the value of complex datasets across critical platforms. Leading an agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team of 6 data scientists across multiple agile projects. Advanced Data Exploitation: Drive the exploitation of complex data sets on critical customer platforms to deliver actionable outcomes. AI & Algorithm Development: Coordinate the design, build, and implementation of custom data models, intelligent algorithms, and machine learning solutions. Mentorship & Capability Building: Act as a senior technical authority to upskill and mentor team members in data science and AI practices. Essential Skills & Experience Programming & Scripting: Expert-level skills in interpreted and compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (eg, TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modelling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing project delivery, and operating independently with an innovation-focused mindset. Package & Benefits Competitive salary up to £100,000 £5,000 per annum DV allowance (payable monthly while holding active clearance in role) Up to 10% target annual bonus Market-leading pension scheme 25 days annual leave + bank holidays *Rates depend on experience and client requirements
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
28/07/2026
Full time
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud Data Platforms, Data Products, Git, Version Control, MLOps, Data Pipelines. Location: Hybrid role. 2 days per week in office Either: Welwyn Garden City, Hertfordshire or Slough, Berkshire Type: Permanent | Full-Time Overview: is recruiting for an experienced Senior Data Scientist to join one of the UK's most advanced Data Science teams, helping shape the future of customer analytics through cutting-edge machine learning, statistical modelling & cloud-based AI solutions. This is a great opportunity for an experienced Data Scientist who enjoys solving complex commercial problems using advanced analytics, statistical modelling & machine learning techniques, whilst delivering production-ready data science solutions that directly influence customer experience & business performance. This position offers exposure to large-scale customer datasets, advanced Azure-based technologies & highly collaborative multidisciplinary teams consisting of Data Scientists, Data Engineers & Data Analysts. Purpose: Design, develop & deploy enterprise-scale data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical life cycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity Modelling * Customer Churn Prediction * Marketing Optimisation * Personalisation * Time Series Forecasting * Stock Forecasting * Demand Planning * Customer Behaviour Analytics * Decision Intelligence Technology Stack: Programming * Python * SQL * PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical Modelling * Predictive Analytics * Feature Engineering * Propensity Modelling * Time Series Forecasting * MLflow * PyTorch Data Engineering * Data Pipelines * Graph Databases DevOps & Development * GitHub * GitHub Actions * CI/CD * Version Control Core Activity: * Deliver end-to-end data science solutions from concept to production * Build machine learning models that improve customer & business outcomes * Apply statistical techniques to solve complex business problems * Develop propensity & predictive models for customer decisioning * Design & optimise time series forecasting models * Build scalable data pipelines & production-ready analytics * Collaborate with cross-functional teams to deliver business value * Monitor, maintain & continuously improve deployed models * Present analytical insights to technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science life cycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated propensity models to support customer targeting, customer engagement, personalisation & commercial decision making. * Build highly accurate time series forecasting models covering both customer demand & stock forecasting, continuously improving forecast performance through back-testing & model refinement. * Develop scalable, production-ready machine learning solutions using Python, SQL & PySpark within Azure Databricks. * Build, optimise & maintain robust data pipelines using software engineering best practices, including automated testing, documentation, version control & reproducibility. * Work closely with stakeholders to understand business challenges, define measurable success criteria & translate analytical outputs into commercially valuable recommendations. * Monitor model performance, identify opportunities for optimisation & continuously improve deployed solutions. * Conduct peer reviews of analytical code & statistical models, helping to raise technical standards across the wider Data Science function. * Promote best practice in machine learning, statistical modelling, software engineering & cloud-based analytics delivery. Deliverables: * Production-ready machine learning models * Customer propensity models * Time series forecasting solutions * Actionable business insights * Scalable, secure machine learning code * Azure-based data pipelines * Stakeholder reports & recommendations * Optimised model performance * Well-documented analytical solutions * Successful cross-functional delivery Working Environment: * Hybrid Working * Agile Delivery * Azure Cloud Platform * Azure Databricks * Cross-Functional Product Squads * Enterprise Data Science * Large-Scale Data Environment * CI/CD & DevOps * Continuous Learning & Innovation Candidate Profile: Candidates should possess experience as a Senior Data Scientist with strong analytical skills, commercial awareness & a passion for solving complex business problems. You'll have a proven track record of delivering end-to-end data science solutions, from problem definition through to production deployment, using advanced statistics, machine learning & cloud technologies. You'll be confident working with both structured & time series data, building scalable models that deliver measurable business value. Your experience is likely to include some of the following: Essential: * End-to-end data science delivery * Statistical modelling & hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning * GitHub Actions * CI/CD * MLOps * Marketing Analytics * Customer Lifetime Value (CLV) * Churn Prediction * Retail Analytics * Customer Personalisation * Decision Intelligence Key Traits: * Curious & analytical * Commercially minded * Customer focused * Strong statistical thinking * Detail orientated * Excellent communicator * Adaptable & delivery focused : uniting opportunity with ambition in Telecoms | Media | Technology is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
28/07/2026
Full time
Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud Data Platforms, Data Products, Git, Version Control, MLOps, Data Pipelines. Location: Hybrid role. 2 days per week in office Either: Welwyn Garden City, Hertfordshire or Slough, Berkshire Type: Permanent | Full-Time Overview: is recruiting for an experienced Senior Data Scientist to join one of the UK's most advanced Data Science teams, helping shape the future of customer analytics through cutting-edge machine learning, statistical modelling & cloud-based AI solutions. This is a great opportunity for an experienced Data Scientist who enjoys solving complex commercial problems using advanced analytics, statistical modelling & machine learning techniques, whilst delivering production-ready data science solutions that directly influence customer experience & business performance. This position offers exposure to large-scale customer datasets, advanced Azure-based technologies & highly collaborative multidisciplinary teams consisting of Data Scientists, Data Engineers & Data Analysts. Purpose: Design, develop & deploy enterprise-scale data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical life cycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity Modelling * Customer Churn Prediction * Marketing Optimisation * Personalisation * Time Series Forecasting * Stock Forecasting * Demand Planning * Customer Behaviour Analytics * Decision Intelligence Technology Stack: Programming * Python * SQL * PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical Modelling * Predictive Analytics * Feature Engineering * Propensity Modelling * Time Series Forecasting * MLflow * PyTorch Data Engineering * Data Pipelines * Graph Databases DevOps & Development * GitHub * GitHub Actions * CI/CD * Version Control Core Activity: * Deliver end-to-end data science solutions from concept to production * Build machine learning models that improve customer & business outcomes * Apply statistical techniques to solve complex business problems * Develop propensity & predictive models for customer decisioning * Design & optimise time series forecasting models * Build scalable data pipelines & production-ready analytics * Collaborate with cross-functional teams to deliver business value * Monitor, maintain & continuously improve deployed models * Present analytical insights to technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science life cycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated propensity models to support customer targeting, customer engagement, personalisation & commercial decision making. * Build highly accurate time series forecasting models covering both customer demand & stock forecasting, continuously improving forecast performance through back-testing & model refinement. * Develop scalable, production-ready machine learning solutions using Python, SQL & PySpark within Azure Databricks. * Build, optimise & maintain robust data pipelines using software engineering best practices, including automated testing, documentation, version control & reproducibility. * Work closely with stakeholders to understand business challenges, define measurable success criteria & translate analytical outputs into commercially valuable recommendations. * Monitor model performance, identify opportunities for optimisation & continuously improve deployed solutions. * Conduct peer reviews of analytical code & statistical models, helping to raise technical standards across the wider Data Science function. * Promote best practice in machine learning, statistical modelling, software engineering & cloud-based analytics delivery. Deliverables: * Production-ready machine learning models * Customer propensity models * Time series forecasting solutions * Actionable business insights * Scalable, secure machine learning code * Azure-based data pipelines * Stakeholder reports & recommendations * Optimised model performance * Well-documented analytical solutions * Successful cross-functional delivery Working Environment: * Hybrid Working * Agile Delivery * Azure Cloud Platform * Azure Databricks * Cross-Functional Product Squads * Enterprise Data Science * Large-Scale Data Environment * CI/CD & DevOps * Continuous Learning & Innovation Candidate Profile: Candidates should possess experience as a Senior Data Scientist with strong analytical skills, commercial awareness & a passion for solving complex business problems. You'll have a proven track record of delivering end-to-end data science solutions, from problem definition through to production deployment, using advanced statistics, machine learning & cloud technologies. You'll be confident working with both structured & time series data, building scalable models that deliver measurable business value. Your experience is likely to include some of the following: Essential: * End-to-end data science delivery * Statistical modelling & hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning * GitHub Actions * CI/CD * MLOps * Marketing Analytics * Customer Lifetime Value (CLV) * Churn Prediction * Retail Analytics * Customer Personalisation * Decision Intelligence Key Traits: * Curious & analytical * Commercially minded * Customer focused * Strong statistical thinking * Detail orientated * Excellent communicator * Adaptable & delivery focused : uniting opportunity with ambition in Telecoms | Media | Technology is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
Senior Data Scientist (leadership role) - Customer Data - 100K + 50% bonus + 6,500 car allowance - Southampton Senior Data Scientist, Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology. This role will require you to be in Southampton 2-3 days a month Key Responsibilities: Lead, coach and develop a high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions. Drive best practice in data science, model governance and technical delivery. Deliver measurable business value through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics
28/07/2026
Full time
Senior Data Scientist (leadership role) - Customer Data - 100K + 50% bonus + 6,500 car allowance - Southampton Senior Data Scientist, Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology. This role will require you to be in Southampton 2-3 days a month Key Responsibilities: Lead, coach and develop a high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions. Drive best practice in data science, model governance and technical delivery. Deliver measurable business value through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics
About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
28/07/2026
Full time
About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
27/07/2026
Full time
About easyJet We are easyJet - a FTSE 100 listed, multi billion pound low cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low cost travel easy, delivering a network of reliable flights, competitive fares and friendly service. Position Overview Senior Data Scientist (ID 16975) We are looking for a senior data science professional who can own high impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes. The Team The Data Science team sits at the centre of smarter decision making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience. Key Responsibilities Lead end to end delivery of data science projects, from problem definition and modelling to production implementation and monitoring. Analyse complex, multi source datasets to answer strategic business questions and uncover improvement opportunities. Develop, validate and deploy predictive, simulation and optimisation models to support business performance. Translate technical findings into clear, actionable recommendations for both technical and non technical audiences. Collaborate with cross functional teams in a product led environment to support operational and technology transformation initiatives. Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing. Contribute to best practice development and strengthen data science capability across the organisation. Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application. Qualifications Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline. Significant commercial experience in data science roles with demonstrable progression. Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics. Experience with optimisation, simulation or other advanced analytical techniques. Delivered data science solutions within operational, logistics, manufacturing or similarly complex business environments. Proven ability to independently manage projects, prioritise competing demands and deliver results in fast paced environments. Excellent stakeholder management and communication skills, confident presenting technical concepts to non technical audiences. Experience working alongside Product Owners, Software Engineers and cross functional teams. Strong commercial awareness and a pragmatic approach to solving business problems. Passion for mentoring, collaboration and building analytical capability within teams. Benefits Up to 20% maximum bonus. Private Medical Insurance (PMI). 7% pension contributions. Excellent staff travel benefits. 25 days of annual leave plus bank holidays. Annual credit towards an easyJet holiday. Various flexible benefits and extras. Reasonable Adjustments At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here
27/07/2026
Full time
Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here
Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here
27/07/2026
Full time
Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here
Let's be ISS Sustainability is growing! Our Climate & Nature unit seeks a Climate Data Scientist to improve our existing climate and nature risk models, create new models and develop new products and analytical tools and to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative. In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations. Responsibilities Leverage your deep knowledge of climate and earth systems as well as analytical expertise to contribute to the team's data science-driven product development efforts. Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods. Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc. Support the maintenance and improvement of existing datasets, models, and pipelines, including contributing to regular data updates. Evaluate new data sources and data collection methods for accuracy and effectiveness. Coordinate with colleagues working on sustainability, climate, and nature risk products, and stay informed about the broader market landscape. Provide topic expertise to colleagues and clients on ISS Sustainability products, including support with product use and specialist client questions. Analyse regulatory requirements, public datasets, climate scenarios, and other relevant information to identify opportunities for improving existing products and developing new sustainable finance solutions. Qualifications/Skills Advanced university degree in atmospheric or physical sciences, meteorology, hydrology, environmental science, or a related field. Experience working as a climate scientist, hazard modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models. Ability to use and interpret climate model outputs and projections, including those from CMIP datasets. Experience with AI or machine learning methods and developing predictive models is an advantage. Strong skills in working with large geospatial and climate datasets using Python, including libraries such as Xarray, Dask, and Rasterio. Familiarity with geospatial data formats such as NetCDF, Zarr, and GeoTIFF. Working knowledge of UNIX shell and Docker is beneficial. Solid data science and statistical analysis skills. Research experience or climate-related publications is an advantage. Strong analytical, communication, and problem solving skills. Ability to collaborate effectively with colleagues across multiple locations and time zones in a dynamic environment. Excellent written and spoken English. Knowledge of French or German is a plus. Experience in ESG or sustainable climate finance is considered an advantage. EEO Statement Institutional Shareholder Services (ISS) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to 'protected status'). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.
27/07/2026
Full time
Let's be ISS Sustainability is growing! Our Climate & Nature unit seeks a Climate Data Scientist to improve our existing climate and nature risk models, create new models and develop new products and analytical tools and to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative. In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations. Responsibilities Leverage your deep knowledge of climate and earth systems as well as analytical expertise to contribute to the team's data science-driven product development efforts. Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods. Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc. Support the maintenance and improvement of existing datasets, models, and pipelines, including contributing to regular data updates. Evaluate new data sources and data collection methods for accuracy and effectiveness. Coordinate with colleagues working on sustainability, climate, and nature risk products, and stay informed about the broader market landscape. Provide topic expertise to colleagues and clients on ISS Sustainability products, including support with product use and specialist client questions. Analyse regulatory requirements, public datasets, climate scenarios, and other relevant information to identify opportunities for improving existing products and developing new sustainable finance solutions. Qualifications/Skills Advanced university degree in atmospheric or physical sciences, meteorology, hydrology, environmental science, or a related field. Experience working as a climate scientist, hazard modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models. Ability to use and interpret climate model outputs and projections, including those from CMIP datasets. Experience with AI or machine learning methods and developing predictive models is an advantage. Strong skills in working with large geospatial and climate datasets using Python, including libraries such as Xarray, Dask, and Rasterio. Familiarity with geospatial data formats such as NetCDF, Zarr, and GeoTIFF. Working knowledge of UNIX shell and Docker is beneficial. Solid data science and statistical analysis skills. Research experience or climate-related publications is an advantage. Strong analytical, communication, and problem solving skills. Ability to collaborate effectively with colleagues across multiple locations and time zones in a dynamic environment. Excellent written and spoken English. Knowledge of French or German is a plus. Experience in ESG or sustainable climate finance is considered an advantage. EEO Statement Institutional Shareholder Services (ISS) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to 'protected status'). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.
ONYX Insight is looking for a Senior Data Scientist to join our Advanced Analytics team on a 6 month contract. This role will play a critical part in advancing AI driven solutions for condition monitoring and predictive maintenance across global wind turbine fleets. The Role As a senior member of the team, you will lead the development and delivery of advanced analytics solutions, working at the intersection of data science, engineering, and domain expertise. You will take ownership of high impact modelling initiatives, applying state of the art machine learning and signal processing techniques to complex, real world datasets. You will work with high frequency vibration data, SCADA data, and turbine failure records to build models that directly influence operational decision making for wind farm owners and operators. This is a hands on, delivery focused role with significant autonomy, where you will be expected to drive solutions from concept through to production ready deployment. Key Responsibilities Lead the design, development and optimisation of advanced AI/ML models to detect, diagnose and predict wind turbine failure modes Apply sophisticated signal processing, reliability engineering and statistical techniques to large scale operational datasets Develop probabilistic models to estimate remaining useful life (RUL) and component failure risk Take ownership of end to end model lifecycle, including validation, testing and deployment into production environments Translate complex analytical outputs into clear, commercially relevant insights for engineering and operational stakeholders Mentor and collaborate with data scientists and engineers, promoting best practice in modelling and responsible AI Contribute to the continuous improvement of analytics capabilities, tooling and methodologies within the team About You 5+ years' experience in Data Science, Machine Learning or a related field, with a strong track record of delivering models in production environments Advanced Python skills and deep experience with ML frameworks (scikit learn, TensorFlow, PyTorch) Strong foundation in statistics, probabilistic modelling, and/or signal processing Experience working with complex industrial or time series datasets at scale Demonstrated ability to operate autonomously, prioritise effectively, and deliver against ambiguous or evolving requirements Confident communicator, able to translate complex technical concepts into clear, actionable insights for non technical stakeholders Highly desirable Experience in wind energy, condition monitoring, rotating machinery, or reliability engineering Exposure to cloud based ML deployment and productionisation pipelines ONYX Insight are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
27/07/2026
Full time
ONYX Insight is looking for a Senior Data Scientist to join our Advanced Analytics team on a 6 month contract. This role will play a critical part in advancing AI driven solutions for condition monitoring and predictive maintenance across global wind turbine fleets. The Role As a senior member of the team, you will lead the development and delivery of advanced analytics solutions, working at the intersection of data science, engineering, and domain expertise. You will take ownership of high impact modelling initiatives, applying state of the art machine learning and signal processing techniques to complex, real world datasets. You will work with high frequency vibration data, SCADA data, and turbine failure records to build models that directly influence operational decision making for wind farm owners and operators. This is a hands on, delivery focused role with significant autonomy, where you will be expected to drive solutions from concept through to production ready deployment. Key Responsibilities Lead the design, development and optimisation of advanced AI/ML models to detect, diagnose and predict wind turbine failure modes Apply sophisticated signal processing, reliability engineering and statistical techniques to large scale operational datasets Develop probabilistic models to estimate remaining useful life (RUL) and component failure risk Take ownership of end to end model lifecycle, including validation, testing and deployment into production environments Translate complex analytical outputs into clear, commercially relevant insights for engineering and operational stakeholders Mentor and collaborate with data scientists and engineers, promoting best practice in modelling and responsible AI Contribute to the continuous improvement of analytics capabilities, tooling and methodologies within the team About You 5+ years' experience in Data Science, Machine Learning or a related field, with a strong track record of delivering models in production environments Advanced Python skills and deep experience with ML frameworks (scikit learn, TensorFlow, PyTorch) Strong foundation in statistics, probabilistic modelling, and/or signal processing Experience working with complex industrial or time series datasets at scale Demonstrated ability to operate autonomously, prioritise effectively, and deliver against ambiguous or evolving requirements Confident communicator, able to translate complex technical concepts into clear, actionable insights for non technical stakeholders Highly desirable Experience in wind energy, condition monitoring, rotating machinery, or reliability engineering Exposure to cloud based ML deployment and productionisation pipelines ONYX Insight are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Job Description Find where you belong! Are you excited by the opportunity to turn complex data into commercial impact? Do you want your models, insights and AI innovations to directly shape the digital experience of millions of customers? If yes, our Data Scientist position might be the right next move for you. Your Purpose At Travelodge, you'll join our ambitious Digital Team as a Data Scientist, using big data, cloud technologies and cutting-edge AI to solve real business challenges. From optimising marketing investment and maximising customer lifetime value to building intelligent personalisation and predictive models, your work will influence key commercial decisions and drive measurable revenue growth. You'll enjoy the freedom to own projects from end to end, working with minimal oversight while collaborating with digital, marketing and senior business leaders. If you're passionate about applying machine learning, modern AI and data science to deliver tangible business outcomes, this is an opportunity to make a visible impact in a fast-moving, customer-focused environment. Your Strengths You will be a commercially-minded Data Scientist with a solid understanding of digital commerce and online marketing dynamics (experience optimising ad spend or digital acquisition is highly desirable). You'll have advanced Python and SQL skills, experience building and deploying data science solutions in AWS, Azure or GCP, and hands on knowledge of modern AI tools and frameworks. You'll bring expertise in statistical modelling, optimisation, forecasting, customer segmentation and experimentation, with the ability to turn complex data into clear commercial insights. Strong communication, stakeholder management and the confidence to work independently are essential, alongside a degree in a quantitative discipline and relevant experience in a data science or advanced analytics role. Your Perks Salary up to £60,000 plus Annual Bonus Contributory pension scheme Hybrid working - a minimum of 60% of your time should be spent in the office 50% personal discount for hotel bookings and great friends and family discounts too! 25 days holiday + bank holidays, increasing with length of service Why Travelodge? At Travelodge, we're more than just a Hotel brand; we're a community where you can truly be yourself and belong. Through our "Better Me" initiative, we prioritise your total wellbeing-emotional, physical, financial, and professional-while actively celebrating the diversity that makes our teams stronger. If you're a results driven individual who pays attention to the little things and genuinely cares about people, you'll fit right in.
27/07/2026
Full time
Job Description Find where you belong! Are you excited by the opportunity to turn complex data into commercial impact? Do you want your models, insights and AI innovations to directly shape the digital experience of millions of customers? If yes, our Data Scientist position might be the right next move for you. Your Purpose At Travelodge, you'll join our ambitious Digital Team as a Data Scientist, using big data, cloud technologies and cutting-edge AI to solve real business challenges. From optimising marketing investment and maximising customer lifetime value to building intelligent personalisation and predictive models, your work will influence key commercial decisions and drive measurable revenue growth. You'll enjoy the freedom to own projects from end to end, working with minimal oversight while collaborating with digital, marketing and senior business leaders. If you're passionate about applying machine learning, modern AI and data science to deliver tangible business outcomes, this is an opportunity to make a visible impact in a fast-moving, customer-focused environment. Your Strengths You will be a commercially-minded Data Scientist with a solid understanding of digital commerce and online marketing dynamics (experience optimising ad spend or digital acquisition is highly desirable). You'll have advanced Python and SQL skills, experience building and deploying data science solutions in AWS, Azure or GCP, and hands on knowledge of modern AI tools and frameworks. You'll bring expertise in statistical modelling, optimisation, forecasting, customer segmentation and experimentation, with the ability to turn complex data into clear commercial insights. Strong communication, stakeholder management and the confidence to work independently are essential, alongside a degree in a quantitative discipline and relevant experience in a data science or advanced analytics role. Your Perks Salary up to £60,000 plus Annual Bonus Contributory pension scheme Hybrid working - a minimum of 60% of your time should be spent in the office 50% personal discount for hotel bookings and great friends and family discounts too! 25 days holiday + bank holidays, increasing with length of service Why Travelodge? At Travelodge, we're more than just a Hotel brand; we're a community where you can truly be yourself and belong. Through our "Better Me" initiative, we prioritise your total wellbeing-emotional, physical, financial, and professional-while actively celebrating the diversity that makes our teams stronger. If you're a results driven individual who pays attention to the little things and genuinely cares about people, you'll fit right in.
United States Digital Space LLC
Cambridge, Cambridgeshire
C++ AI/ML Software Engineer HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting edge machine learning research and production grade security software. To see what our engineering teams are working on, visit our technical blogs: We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full time opportunity for a collaborative, hands on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. We offer a comprehensive benefits package and excellent career development opportunities. Responsibilities Design, develop, and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability, and resource utilisation on endpoint devices. Develop data processing, evaluation, and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Qualifications Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving, and software engineering skills. Experience working with Python for machine learning workflows, automation, or tooling. Understanding of software development lifecycle, testing methodologies, and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. Desired Additional Experience Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar. AI model deployment, optimisation, and inference in production environments. Data processing, feature engineering, and model evaluation techniques. Security, cybersecurity, or threat detection applications of AI/ML. Large Language Models (LLMs), Generative AI, or AI assisted security technologies. High performance, multi threaded, or systems level C++ development. Cloud based AI/ML services and MLOps practices. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people focused senior role, regular in person collaboration is encouraged. About You You're out to reimagine and reinvent what's possible - in your career as well as the world around you. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. Why Join HP Wolf Security HP Wolf Security is central to HP's strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built in, enterprise grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers' devices and data. The digital threat landscape is ever changing and as the cybersecurity industry reacts and adapts to changes, so too do the malware authors. Our unique micro virtualization technology ensures customers are protected from even the most bleeding edge cyber security threats. That micro virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our History Inspired by the isolation principles of traditional virtualization, HP's team known then as Bromium created a game changing technology called micro virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal".
27/07/2026
Full time
C++ AI/ML Software Engineer HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting edge machine learning research and production grade security software. To see what our engineering teams are working on, visit our technical blogs: We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full time opportunity for a collaborative, hands on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. We offer a comprehensive benefits package and excellent career development opportunities. Responsibilities Design, develop, and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability, and resource utilisation on endpoint devices. Develop data processing, evaluation, and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Qualifications Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving, and software engineering skills. Experience working with Python for machine learning workflows, automation, or tooling. Understanding of software development lifecycle, testing methodologies, and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. Desired Additional Experience Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar. AI model deployment, optimisation, and inference in production environments. Data processing, feature engineering, and model evaluation techniques. Security, cybersecurity, or threat detection applications of AI/ML. Large Language Models (LLMs), Generative AI, or AI assisted security technologies. High performance, multi threaded, or systems level C++ development. Cloud based AI/ML services and MLOps practices. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people focused senior role, regular in person collaboration is encouraged. About You You're out to reimagine and reinvent what's possible - in your career as well as the world around you. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. Why Join HP Wolf Security HP Wolf Security is central to HP's strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built in, enterprise grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers' devices and data. The digital threat landscape is ever changing and as the cybersecurity industry reacts and adapts to changes, so too do the malware authors. Our unique micro virtualization technology ensures customers are protected from even the most bleeding edge cyber security threats. That micro virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our History Inspired by the isolation principles of traditional virtualization, HP's team known then as Bromium created a game changing technology called micro virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal".
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5-10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation Location 97 Jubilee Avenue, Milton Park,Abingdon,Oxfordshire,OX14 4RW, United Kingdom Job Details Requisition Number:210132 Experience Level:Experienced Hire Job Family:Engineering/Science/Technology Product Service Line:Landmark Software & Services Full Time / Part Time:Full-time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
27/07/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5-10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation Location 97 Jubilee Avenue, Milton Park,Abingdon,Oxfordshire,OX14 4RW, United Kingdom Job Details Requisition Number:210132 Experience Level:Experienced Hire Job Family:Engineering/Science/Technology Product Service Line:Landmark Software & Services Full Time / Part Time:Full-time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
27/07/2026
Full time
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
the company ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details the company is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both the company and client environments. This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration. The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within the company and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both the company and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy Learning and Development At the company, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At the company, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
27/07/2026
Full time
the company ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details the company is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both the company and client environments. This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration. The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within the company and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both the company and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy Learning and Development At the company, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At the company, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
ONYX Insight is seeking a Senior Data Scientist to improve AI-driven solutions for condition monitoring and predictive maintenance in wind energy. This 6-month contract role involves leading the development of advanced analytics models, with significant autonomy in driving projects from concept to production. The ideal candidate will have over 5 years of relevant experience, advanced Python skills, and a strong background in machine learning and statistics. Knowledge of wind energy applications is a plus.
27/07/2026
Full time
ONYX Insight is seeking a Senior Data Scientist to improve AI-driven solutions for condition monitoring and predictive maintenance in wind energy. This 6-month contract role involves leading the development of advanced analytics models, with significant autonomy in driving projects from concept to production. The ideal candidate will have over 5 years of relevant experience, advanced Python skills, and a strong background in machine learning and statistics. Knowledge of wind energy applications is a plus.
About Us Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals. About You You are a builder at heart - curious, analytical, and energized by turning complex financial and travel data into tools that people actually use. You move fluidly between data science, prototyping, and product thinking, and you're just as comfortable exploring a messy dataset as you are shipping a prototype into customers' hands. You thrive on iteration, customer feedback, and the challenge of making advanced techniques - including machine learning and LLMs - deliver real, measurable value. About the Role We are seeking a Data Scientist to create product prototypes that address customer needs and enhance platform capabilities. This role translates analytical insights into actionable tools, using advanced data techniques and customer feedback to shape what ships next. You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product. Key Responsibilities Prototype & Product Development Design and develop product prototypes based on financial and travel spend analysis and client data. Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers. Iterate on prototypes based on customer feedback to refine and improve usability. Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes. Data Integration & Insight Generation Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features. Leverage customer datasets to identify trends, generate insights, and create impactful solutions. Collaborate with advisory and forecasting specialists to integrate insights into product design. Advanced Techniques & Visualization Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization to improve the accuracy, speed, and efficiency of financial analytics tools. Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format. You'll Be a Great Fit If You Have experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management. Have expertise in data integration - including ETL pipelines, API connections, and harmonizing data across multiple systems and formats. Are proficient in Python, R, or JavaScript for data analysis and tool development. Are familiar with building and testing product prototypes in an iterative environment. Have strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling. Have experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions. Can communicate complex concepts to non-expert audiences effectively. Nice to Haves Experience working alongside AI systems and applying human judgment to automated outputs. Hands-on experience with LLMs or ML models applied to financial or spend data. Familiarity with corporate travel, expense, or emissions datasets. Experience shipping prototypes into production alongside engineering teams. Diverse Perspectives We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team. We Offer Generous options in our early stage startup for key members of the team. Working among a diverse, expert team at the forefront of climate tech, behavioral change, and people technology. Opportunity to make a foundational contribution to our mission: close the gap between climate-related intention and action. Remote and Hybrid work environments. Robust benefits including full medical, dental and vision insurance, 401k (or similar retirement programs) and sustainability benefit ($500 annually to spend on increasing personal sustainability).
27/07/2026
Full time
About Us Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals. About You You are a builder at heart - curious, analytical, and energized by turning complex financial and travel data into tools that people actually use. You move fluidly between data science, prototyping, and product thinking, and you're just as comfortable exploring a messy dataset as you are shipping a prototype into customers' hands. You thrive on iteration, customer feedback, and the challenge of making advanced techniques - including machine learning and LLMs - deliver real, measurable value. About the Role We are seeking a Data Scientist to create product prototypes that address customer needs and enhance platform capabilities. This role translates analytical insights into actionable tools, using advanced data techniques and customer feedback to shape what ships next. You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product. Key Responsibilities Prototype & Product Development Design and develop product prototypes based on financial and travel spend analysis and client data. Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers. Iterate on prototypes based on customer feedback to refine and improve usability. Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes. Data Integration & Insight Generation Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features. Leverage customer datasets to identify trends, generate insights, and create impactful solutions. Collaborate with advisory and forecasting specialists to integrate insights into product design. Advanced Techniques & Visualization Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization to improve the accuracy, speed, and efficiency of financial analytics tools. Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format. You'll Be a Great Fit If You Have experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management. Have expertise in data integration - including ETL pipelines, API connections, and harmonizing data across multiple systems and formats. Are proficient in Python, R, or JavaScript for data analysis and tool development. Are familiar with building and testing product prototypes in an iterative environment. Have strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling. Have experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions. Can communicate complex concepts to non-expert audiences effectively. Nice to Haves Experience working alongside AI systems and applying human judgment to automated outputs. Hands-on experience with LLMs or ML models applied to financial or spend data. Familiarity with corporate travel, expense, or emissions datasets. Experience shipping prototypes into production alongside engineering teams. Diverse Perspectives We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team. We Offer Generous options in our early stage startup for key members of the team. Working among a diverse, expert team at the forefront of climate tech, behavioral change, and people technology. Opportunity to make a foundational contribution to our mission: close the gap between climate-related intention and action. Remote and Hybrid work environments. Robust benefits including full medical, dental and vision insurance, 401k (or similar retirement programs) and sustainability benefit ($500 annually to spend on increasing personal sustainability).
Why SoftwareOne? SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI. Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference. Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers. The role Do you enjoy turning complex data into reliable solutions while also translating business needs into impactful AI use cases? Do you want to shape SoftwareOne with AI and help bring people along the GenAI journey? Are you motivated by working in a collaborative AI team driven by curiosity, transparency and a shared goal of delivering impactful, data-driven solutions? Practical Information: Location: Poland Reports to: AI Data Science Lead Work Arrangement: Remote Visa Requirements: Valid working visa for Poland Language Requirements: Professional/fluent level of English, written and spoken At SoftwareOne we are at the forefront of technological innovation, dedicated to leveraging the power of artificial intelligence to create revolutionary products and solutions. Our AI Team is a dynamic group of talented professionals who are passionate about pushing the boundaries of what is possible with AI and machine learning for our internal employees. Key Responsibilities: Design, build and maintain scalable data pipelines and architectures on Databricks and Azure to support AI and ML use cases Develop AI solutions hands-on, from data preparation and feature engineering to pipelines powering AI and LLM-based applications Collaborate closely with Data Scientists, AI Engineers and the Data & Analytics Team to ensure high-quality, reliable data and optimal performance Work with business stakeholders to gather requirements and translate them into actionable AI use cases and solutions Identify opportunities where AI can create business value and contribute to the development of innovative AI initiatives Contribute to delivering AI projects end-to-end, from concept and exploration to production-ready solutions, ensuring governance and data quality standards What we need to see from you Experience in Data Engineering or a similar role, with a strong background in building data pipelines Experience working with stakeholders on requirements gathering, business analysis, or translating business needs into technical solutions Proficiency in programming languages such as Python (pref)ered, Java, or Scala, and experience with big data technologies (e.g., Spark, Kafka, Hadoop) Hands-on experience with Databricks and Azure AI Services, and familiarity with cloud platforms such as Azure (preferred), AWS, or Google Cloud Solid understanding of database systems, including SQL and NoSQL, and data architecture best practices Strong analytical mindset, excellent communication skills, and a proactive, curious approach to AI, innovation, and continuous learning Benefits Our company benefits vary based on your location, but always include: Global company culture: We defined our 6 core values through our company culture ( ) Amentorwho supports your successful start and is at your side with advice and action President's Club: Recognition awarded by leadership and your peers Flexible work: Do great work from anywhere but also visit local office to deliver excellence in team relationships Lifelong education: A variety oftraining and development opportunities Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future Job Function IT & Solutions At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.
27/07/2026
Full time
Why SoftwareOne? SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI. Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference. Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers. The role Do you enjoy turning complex data into reliable solutions while also translating business needs into impactful AI use cases? Do you want to shape SoftwareOne with AI and help bring people along the GenAI journey? Are you motivated by working in a collaborative AI team driven by curiosity, transparency and a shared goal of delivering impactful, data-driven solutions? Practical Information: Location: Poland Reports to: AI Data Science Lead Work Arrangement: Remote Visa Requirements: Valid working visa for Poland Language Requirements: Professional/fluent level of English, written and spoken At SoftwareOne we are at the forefront of technological innovation, dedicated to leveraging the power of artificial intelligence to create revolutionary products and solutions. Our AI Team is a dynamic group of talented professionals who are passionate about pushing the boundaries of what is possible with AI and machine learning for our internal employees. Key Responsibilities: Design, build and maintain scalable data pipelines and architectures on Databricks and Azure to support AI and ML use cases Develop AI solutions hands-on, from data preparation and feature engineering to pipelines powering AI and LLM-based applications Collaborate closely with Data Scientists, AI Engineers and the Data & Analytics Team to ensure high-quality, reliable data and optimal performance Work with business stakeholders to gather requirements and translate them into actionable AI use cases and solutions Identify opportunities where AI can create business value and contribute to the development of innovative AI initiatives Contribute to delivering AI projects end-to-end, from concept and exploration to production-ready solutions, ensuring governance and data quality standards What we need to see from you Experience in Data Engineering or a similar role, with a strong background in building data pipelines Experience working with stakeholders on requirements gathering, business analysis, or translating business needs into technical solutions Proficiency in programming languages such as Python (pref)ered, Java, or Scala, and experience with big data technologies (e.g., Spark, Kafka, Hadoop) Hands-on experience with Databricks and Azure AI Services, and familiarity with cloud platforms such as Azure (preferred), AWS, or Google Cloud Solid understanding of database systems, including SQL and NoSQL, and data architecture best practices Strong analytical mindset, excellent communication skills, and a proactive, curious approach to AI, innovation, and continuous learning Benefits Our company benefits vary based on your location, but always include: Global company culture: We defined our 6 core values through our company culture ( ) Amentorwho supports your successful start and is at your side with advice and action President's Club: Recognition awarded by leadership and your peers Flexible work: Do great work from anywhere but also visit local office to deliver excellence in team relationships Lifelong education: A variety oftraining and development opportunities Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future Job Function IT & Solutions At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.
Graduate Data Scientist Location: UK (London-based) Hybrid working: 3 days in the office Are you passionate about using data science, AI and analytics to solve real-world business challenges? At Branding Science Group, we're looking for a motivated Graduate Data Scientist to join our growing global Data Science team. Working at the intersection of data science, healthcare insights, technology and innovation, you'll help drive meaningful business change through automation, analytics and AI-powered solutions, while developing your technical expertise in a supportive and collaborative environment. What You'll Do Support data science initiatives that drive key business outcomes Assist in delivering our data strategy and improving access to internal data assets Build, maintain and enhance internal data science tools, pipelines and AI-powered applications Perform quantitative data analysis for client projects Identify and implement automation opportunities to improve business efficiency Support the rollout and adoption of new data and AI tools across teams Contribute to thought leadership activities, including LinkedIn content and conference presentations Help improve AI literacy and data science capabilities across the organisation Provide regular updates and reporting to senior team members What You'll Bring A Bachelor's, Master's or PhD in Mathematics, Statistics, Data Science or another numerate discipline A strong interest in applying data science to solve business problems Experience contributing to analytical, technical or machine learning projects through academic, internship or personal projects Understanding of statistical concepts including hypothesis testing, regression and p-values Experience coding in Python or R for data analysis, modelling or visualisation Strong analytical thinking and problem-solving skills Excellent communication skills with the ability to explain technical concepts to non-technical audiences Strong organisational and time-management skills A proactive mindset, curiosity to learn and high personal integrity Desirable Experience Experience building code-based technical solutions Exposure to AI or LLM applications (e.g. OpenAI or Anthropic APIs) Experience using Git or other version control systems Exposure to data pipelines, APIs and SQL databases Experience deploying internal or web-based data tools Why Branding Science Group? Join a collaborative, forward-thinking team that combines data science, AI, healthcare expertise and strategic insight to help clients and colleagues make better decisions. You'll have the opportunity to work on meaningful projects, develop in-demand technical skills, collaborate with global colleagues, and play a role in shaping the future of data science and AI at Branding Science Group. If you're ready to launch your career in data science and make a real impact
27/07/2026
Full time
Graduate Data Scientist Location: UK (London-based) Hybrid working: 3 days in the office Are you passionate about using data science, AI and analytics to solve real-world business challenges? At Branding Science Group, we're looking for a motivated Graduate Data Scientist to join our growing global Data Science team. Working at the intersection of data science, healthcare insights, technology and innovation, you'll help drive meaningful business change through automation, analytics and AI-powered solutions, while developing your technical expertise in a supportive and collaborative environment. What You'll Do Support data science initiatives that drive key business outcomes Assist in delivering our data strategy and improving access to internal data assets Build, maintain and enhance internal data science tools, pipelines and AI-powered applications Perform quantitative data analysis for client projects Identify and implement automation opportunities to improve business efficiency Support the rollout and adoption of new data and AI tools across teams Contribute to thought leadership activities, including LinkedIn content and conference presentations Help improve AI literacy and data science capabilities across the organisation Provide regular updates and reporting to senior team members What You'll Bring A Bachelor's, Master's or PhD in Mathematics, Statistics, Data Science or another numerate discipline A strong interest in applying data science to solve business problems Experience contributing to analytical, technical or machine learning projects through academic, internship or personal projects Understanding of statistical concepts including hypothesis testing, regression and p-values Experience coding in Python or R for data analysis, modelling or visualisation Strong analytical thinking and problem-solving skills Excellent communication skills with the ability to explain technical concepts to non-technical audiences Strong organisational and time-management skills A proactive mindset, curiosity to learn and high personal integrity Desirable Experience Experience building code-based technical solutions Exposure to AI or LLM applications (e.g. OpenAI or Anthropic APIs) Experience using Git or other version control systems Exposure to data pipelines, APIs and SQL databases Experience deploying internal or web-based data tools Why Branding Science Group? Join a collaborative, forward-thinking team that combines data science, AI, healthcare expertise and strategic insight to help clients and colleagues make better decisions. You'll have the opportunity to work on meaningful projects, develop in-demand technical skills, collaborate with global colleagues, and play a role in shaping the future of data science and AI at Branding Science Group. If you're ready to launch your career in data science and make a real impact
