The MarTech Strategy Manager role is the strategic backbone of our marketing data ecosystem - a unique hybrid of Strategist, Analyst, Architect, and Builder. You will be the driving force behind the marketing technology stack, bridging vision with technology to enable data-driven decision-making, streamline operations, and deliver superior customer experiences. This role is ideal for a proactive leader who not only masters the technical foundations of modern MarTech but also thrives on navigating complex infrastructures and the cookieless landscape with creativity and confidence. Your expertise and a close collaboration with IT and other key functions will be crucial in ensuring the strategic application, robust architecture, and meticulous governance of MarTech and Consumer Data to significantly drive marketing efficiency and measurable business outcomes. Martech Leadership Act as a strategic liaison between Marketing, IT, Data Engineering, UX, and Commercial teams to align business objectives with technology evolution. Design, own, architect, optimize, and evolve the marketing technology stack with a focus on scalability, segmentation, acquisition, personalization, attribution, and customer lifetime value use cases. Oversee system integrations, API design, platform configurations, lifecycle maintenance, integrated dashboards, AI experimentation in strict adherence with governance standards. Lead technology evaluation and vendor selection aligning with key stakeholders and identifying opportunities for innovation and capability expansion. Develop robust data and analytics frameworks, informative dashboards, and comprehensive KPI measurement plans to track the performance of the MarTech stack and marketing programs. Define and oversee the data and personalization strategy within the CDP, enabling data enrichment via 2nd party data, Business Intelligence, MMM and MTA, CLV modeling, consumer profiling, advanced and predictive analytics, and automated media activation. Troubleshoot technical and process issues, translating complex requirements into clear actions and communicating trade-offs across teams. Strategy, Thought Leadership & Innovation Research market trends, emerging technologies, and AI advancements to recommend high-impact opportunities and future-proof the MarTech ecosystem. Develop playbooks, documentation, and internal training to elevate MarTech literacy across teams and global markets. Help define business processes and guide teams in leveraging platforms to drive operational efficiency and marketing effectiveness. Job Profile Master Degree in computer science, business informatics, information systems, digital marketing, data analytics or closely related fields; +7 years of experience across Data Strategy, Data Engineering and Data Architecture and also Marketing data specifically across DSP, CRM, DMP, and CDP. Proven expertise with Databricks, GCP, dbt, Snowflake, Salesforce, Azure, or similar Strong analytical skills, segmentation, data visualization (Looker). Strong understanding of marketing ecosystems - media, adtech, social, website, search, identity solutions, tag management, Apps. Expertise with APIs, machine learning, LLMs and Agentic AI Excellent client facing skills, with the ability to translate complex technical details into business value Strategic, self-motivated and comfortable operating in an emerging practice area Knowledge of privacy and compliance frameworks in a cookieless MarTech setup Preferable work experience within an agency, martech/adtech company or consultancy Strong oral and written communication skills (English a must, Italian a plus); We are an Equal Opportunity Employer, we reject and condemn any form of discrimination including discrimination based on age, gender, sexual orientation, health, race, nationality, cultural background, political opinions and religious beliefs, and membership of associations and trade unions.
Dec 12, 2025
Full time
The MarTech Strategy Manager role is the strategic backbone of our marketing data ecosystem - a unique hybrid of Strategist, Analyst, Architect, and Builder. You will be the driving force behind the marketing technology stack, bridging vision with technology to enable data-driven decision-making, streamline operations, and deliver superior customer experiences. This role is ideal for a proactive leader who not only masters the technical foundations of modern MarTech but also thrives on navigating complex infrastructures and the cookieless landscape with creativity and confidence. Your expertise and a close collaboration with IT and other key functions will be crucial in ensuring the strategic application, robust architecture, and meticulous governance of MarTech and Consumer Data to significantly drive marketing efficiency and measurable business outcomes. Martech Leadership Act as a strategic liaison between Marketing, IT, Data Engineering, UX, and Commercial teams to align business objectives with technology evolution. Design, own, architect, optimize, and evolve the marketing technology stack with a focus on scalability, segmentation, acquisition, personalization, attribution, and customer lifetime value use cases. Oversee system integrations, API design, platform configurations, lifecycle maintenance, integrated dashboards, AI experimentation in strict adherence with governance standards. Lead technology evaluation and vendor selection aligning with key stakeholders and identifying opportunities for innovation and capability expansion. Develop robust data and analytics frameworks, informative dashboards, and comprehensive KPI measurement plans to track the performance of the MarTech stack and marketing programs. Define and oversee the data and personalization strategy within the CDP, enabling data enrichment via 2nd party data, Business Intelligence, MMM and MTA, CLV modeling, consumer profiling, advanced and predictive analytics, and automated media activation. Troubleshoot technical and process issues, translating complex requirements into clear actions and communicating trade-offs across teams. Strategy, Thought Leadership & Innovation Research market trends, emerging technologies, and AI advancements to recommend high-impact opportunities and future-proof the MarTech ecosystem. Develop playbooks, documentation, and internal training to elevate MarTech literacy across teams and global markets. Help define business processes and guide teams in leveraging platforms to drive operational efficiency and marketing effectiveness. Job Profile Master Degree in computer science, business informatics, information systems, digital marketing, data analytics or closely related fields; +7 years of experience across Data Strategy, Data Engineering and Data Architecture and also Marketing data specifically across DSP, CRM, DMP, and CDP. Proven expertise with Databricks, GCP, dbt, Snowflake, Salesforce, Azure, or similar Strong analytical skills, segmentation, data visualization (Looker). Strong understanding of marketing ecosystems - media, adtech, social, website, search, identity solutions, tag management, Apps. Expertise with APIs, machine learning, LLMs and Agentic AI Excellent client facing skills, with the ability to translate complex technical details into business value Strategic, self-motivated and comfortable operating in an emerging practice area Knowledge of privacy and compliance frameworks in a cookieless MarTech setup Preferable work experience within an agency, martech/adtech company or consultancy Strong oral and written communication skills (English a must, Italian a plus); We are an Equal Opportunity Employer, we reject and condemn any form of discrimination including discrimination based on age, gender, sexual orientation, health, race, nationality, cultural background, political opinions and religious beliefs, and membership of associations and trade unions.
Ernst & Young Advisory Services Sdn Bhd
Edinburgh, Midlothian
Overview Senior Consultant - AI & Data, Financial Services, Data Platforms, BCM, Edinburgh Location: Edinburgh Other locations: Primary Location Only Date: 26 Sept 2025 Requisition ID: The EY Financial Services AI & Data Consulting team in Scotland is growing to deliver AI-ready Data solutions for Financial Services clients. We are recruiting to help deliver this vision, offering the opportunity to join a local team with global impact and to advance Scotland's position as a world leader in Financial Services. We are looking for exceptional Senior Consultants with good experience in Financial Services and Data Platform solutions (Snowflake or Databricks) to contribute to this mission, locally and globally. Joining the Edinburgh EY AI & Data team during this growth period offers a wide range of opportunities to make a tangible impact on client businesses and your career. The opportunity In this AI & Data consulting role, you will work with clients to solve complex business problems by delivering engagements related to the deployment of Data Platforms such as Snowflake and Databricks. We provide expertise and delivery across two core areas: Data Architecture & Engineering - Focusing on next generation data platforms, architecture and implementation, making data available and trusted to deliver on AI priorities Data Management & Strategy - Supporting clients in managing AI & Data Risk, defining AI & Data Strategies, designing Target Operating Models and enabling Data Offices that transform the business Your key responsibilities Work as part of a delivery team on complex Financial Services data transformation programmes. A typical programme can include target state architecture scoping, data analysis, solution design, and end-to-end implementation management. As a Senior Consultant you will be a vital part of the delivery team across these roles as you develop practical experiences with Data Platform solutions. Support the development of new EY data solutions and methods to improve effectiveness and reduce costs of current practices. Support RFP responses as well as thought leadership articles issued to the market. Experience in Data Platform Technologies, including some of the following capabilities: Understanding of Snowflake/Databricks architecture, data warehousing concepts and data sharing capabilities Ability to write SQL and/or Python queries for transforming, joining and aggregating data Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools Practical knowledge of data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine learning models Work to ensure internal risk and admin processes are adhered to Participate actively in the local Financial Services ecosystem, collaborating with clients, FinTechs and Universities as we advance Scotland's position as a world leader in Financial Services Skills and attributes for success We're looking for people with a passion for delivering data technology solutions that deliver positive outcomes for customers, regulators and shareholders. You should have advanced problem solving skills, enjoy working in high performing teams and be able to communicate complex ideas effectively, both verbally and in writing. To qualify for the role you must have some or all of the following Demonstratable interest and awareness in data, AI & emerging technologies Good problem solving, teamwork and communication skills, and the ability to communicate ideas effectively 2+ years of FS experience in Banking, Capital Markets or Insurance Good knowledge in at least one of our core AI & Data capabilities: Data Architecture & Data Engineering Understanding of technology trends and implications on the FS industry, including data platforms, cloud architecture, integration tools & approaches, AI methods & techniques and the challenges in delivering value Some hands-on coding experience with SQL, Python or Scala would be advantageous but not compulsory Relevant experience in Data Platform Technologies (Snowflake, Databricks, Microsoft Fabric would be beneficial) Previous consulting experience is a plus, but so is the curiosity and ambition to develop your career in a consulting role What we look for: We are looking for highly motivated individuals who are passionate about AI and Data and want to help clients become truly data-driven. If you can meet the challenges of a focused consulting organization, want to grow and lead in a large practice, deliver on Scotland's vision for Financial Services and work in this sector, our Edinburgh AI and Data team looks forward to hearing from you. What working at EY offers We offer a competitive remuneration package with a comprehensive Total Rewards offering, including support for flexible working and career development. With FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next Success as defined by you: We'll provide tools and flexibility to make a meaningful impact, your way Transformative leadership: We'll give you insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs EY refers to the global organization and may refer to one or more member firms of Ernst & Young Global Limited, each a separate legal entity. Ernst & Young Global Limited is a UK company limited by guarantee and does not provide services to clients. Note: This description excludes non-job-related boilerplate and system-specific lines that are not relevant to the candidate-facing job posting.
Dec 12, 2025
Full time
Overview Senior Consultant - AI & Data, Financial Services, Data Platforms, BCM, Edinburgh Location: Edinburgh Other locations: Primary Location Only Date: 26 Sept 2025 Requisition ID: The EY Financial Services AI & Data Consulting team in Scotland is growing to deliver AI-ready Data solutions for Financial Services clients. We are recruiting to help deliver this vision, offering the opportunity to join a local team with global impact and to advance Scotland's position as a world leader in Financial Services. We are looking for exceptional Senior Consultants with good experience in Financial Services and Data Platform solutions (Snowflake or Databricks) to contribute to this mission, locally and globally. Joining the Edinburgh EY AI & Data team during this growth period offers a wide range of opportunities to make a tangible impact on client businesses and your career. The opportunity In this AI & Data consulting role, you will work with clients to solve complex business problems by delivering engagements related to the deployment of Data Platforms such as Snowflake and Databricks. We provide expertise and delivery across two core areas: Data Architecture & Engineering - Focusing on next generation data platforms, architecture and implementation, making data available and trusted to deliver on AI priorities Data Management & Strategy - Supporting clients in managing AI & Data Risk, defining AI & Data Strategies, designing Target Operating Models and enabling Data Offices that transform the business Your key responsibilities Work as part of a delivery team on complex Financial Services data transformation programmes. A typical programme can include target state architecture scoping, data analysis, solution design, and end-to-end implementation management. As a Senior Consultant you will be a vital part of the delivery team across these roles as you develop practical experiences with Data Platform solutions. Support the development of new EY data solutions and methods to improve effectiveness and reduce costs of current practices. Support RFP responses as well as thought leadership articles issued to the market. Experience in Data Platform Technologies, including some of the following capabilities: Understanding of Snowflake/Databricks architecture, data warehousing concepts and data sharing capabilities Ability to write SQL and/or Python queries for transforming, joining and aggregating data Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools Practical knowledge of data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine learning models Work to ensure internal risk and admin processes are adhered to Participate actively in the local Financial Services ecosystem, collaborating with clients, FinTechs and Universities as we advance Scotland's position as a world leader in Financial Services Skills and attributes for success We're looking for people with a passion for delivering data technology solutions that deliver positive outcomes for customers, regulators and shareholders. You should have advanced problem solving skills, enjoy working in high performing teams and be able to communicate complex ideas effectively, both verbally and in writing. To qualify for the role you must have some or all of the following Demonstratable interest and awareness in data, AI & emerging technologies Good problem solving, teamwork and communication skills, and the ability to communicate ideas effectively 2+ years of FS experience in Banking, Capital Markets or Insurance Good knowledge in at least one of our core AI & Data capabilities: Data Architecture & Data Engineering Understanding of technology trends and implications on the FS industry, including data platforms, cloud architecture, integration tools & approaches, AI methods & techniques and the challenges in delivering value Some hands-on coding experience with SQL, Python or Scala would be advantageous but not compulsory Relevant experience in Data Platform Technologies (Snowflake, Databricks, Microsoft Fabric would be beneficial) Previous consulting experience is a plus, but so is the curiosity and ambition to develop your career in a consulting role What we look for: We are looking for highly motivated individuals who are passionate about AI and Data and want to help clients become truly data-driven. If you can meet the challenges of a focused consulting organization, want to grow and lead in a large practice, deliver on Scotland's vision for Financial Services and work in this sector, our Edinburgh AI and Data team looks forward to hearing from you. What working at EY offers We offer a competitive remuneration package with a comprehensive Total Rewards offering, including support for flexible working and career development. With FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next Success as defined by you: We'll provide tools and flexibility to make a meaningful impact, your way Transformative leadership: We'll give you insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs EY refers to the global organization and may refer to one or more member firms of Ernst & Young Global Limited, each a separate legal entity. Ernst & Young Global Limited is a UK company limited by guarantee and does not provide services to clients. Note: This description excludes non-job-related boilerplate and system-specific lines that are not relevant to the candidate-facing job posting.
London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI Preferred Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Dec 12, 2025
Full time
London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI Preferred Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ernst & Young Advisory Services Sdn Bhd
City, Belfast
Senior Manager, AI & Data Solution Architect, TC UKI Northern Ireland Location: Belfast Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Specification Grade: Senior Manager About the Role We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud native architectures that drive measurable business value. Design and architect end to end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks Develop comprehensive architecture blueprints including data pipeline, analytics, and AI/ML capabilities Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries Present complex technical concepts and solution roadmaps to both technical and non technical audiences Lead architecture review boards and provide technical governance throughout project lifecycles Oversee the implementation of data lakes, data warehouses, and lakehouse architectures Ensure solutions are optimized for performance, cost efficiency, and scalability Define integration patterns between cloud platforms, third party applications, and legacy systems Actively contribute to practice development as a technical thought leader in AI and Data topics Understanding of building and integrating Agentic AI solutions into existing cloud platforms Mentor junior architects and technical teams on best practices and emerging technologies Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field One or more Advanced level AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP Proven track record of architecting enterprise scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences Able to lead design for end to end AI and data solutions across multiple cloud platforms Able to define governance frameworks, security protocols and compliance standards Operates as a trusted advisor to IT and senior stakeholders Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP Hands on experience with Microsoft Fabric, Snowflake and/or Databricks TOGAF experience Soft Skills Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering and cloud technologies Exceptional communication and presentation skills with ability to influence senior stakeholders Strong analytical and problem solving capabilities Ability to manage multiple client engagements simultaneously Collaborative mindset with experience working in cross functional teams Coaching mindset to support the development of junior team members Preferred Criteria Understanding of AI Architecture front end, UI/UX, and how AI is consumed Experience preparing technical solutions and architectures as part of bid responses and proposals Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation Deep understanding of industry specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry Experience with domain specific use cases such as commercial, supply chain, finance or operations AI&Data2026 EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
Dec 12, 2025
Full time
Senior Manager, AI & Data Solution Architect, TC UKI Northern Ireland Location: Belfast Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Specification Grade: Senior Manager About the Role We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud native architectures that drive measurable business value. Design and architect end to end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks Develop comprehensive architecture blueprints including data pipeline, analytics, and AI/ML capabilities Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries Present complex technical concepts and solution roadmaps to both technical and non technical audiences Lead architecture review boards and provide technical governance throughout project lifecycles Oversee the implementation of data lakes, data warehouses, and lakehouse architectures Ensure solutions are optimized for performance, cost efficiency, and scalability Define integration patterns between cloud platforms, third party applications, and legacy systems Actively contribute to practice development as a technical thought leader in AI and Data topics Understanding of building and integrating Agentic AI solutions into existing cloud platforms Mentor junior architects and technical teams on best practices and emerging technologies Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field One or more Advanced level AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP Proven track record of architecting enterprise scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences Able to lead design for end to end AI and data solutions across multiple cloud platforms Able to define governance frameworks, security protocols and compliance standards Operates as a trusted advisor to IT and senior stakeholders Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP Hands on experience with Microsoft Fabric, Snowflake and/or Databricks TOGAF experience Soft Skills Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering and cloud technologies Exceptional communication and presentation skills with ability to influence senior stakeholders Strong analytical and problem solving capabilities Ability to manage multiple client engagements simultaneously Collaborative mindset with experience working in cross functional teams Coaching mindset to support the development of junior team members Preferred Criteria Understanding of AI Architecture front end, UI/UX, and how AI is consumed Experience preparing technical solutions and architectures as part of bid responses and proposals Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation Deep understanding of industry specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry Experience with domain specific use cases such as commercial, supply chain, finance or operations AI&Data2026 EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
Location: VHQ, Crawley, 3 days on site in line with our hybrid working model Contract Type: Permanent Hours: 37.5 per week, Monday to Friday Closing Date: 15th December 2025 Department: Data & AI Reports to: Manager of Data Science and Operational Research In a nutshell Are you a data scientist who turns models into measurable business impact? At Virgin Atlantic, we're looking for a Senior Data Scientist to design, build, and productionise machine-learning solutions that shape how we fly, plan, and delight our customers. You'll own the full project lifecycle, from defining the business problem and exploring the data to deploying, monitoring, and continuously improving models in production. Your work will directly influence operations, scheduling, and customer experiences, powering decisions that keep Virgin Atlantic ahead of the curve. As an important member of our team you'll also help define our data-science best practices, and champion a culture that values experimentation, collaboration, and delivery excellence. Day to day Lead end-to-end ML and optimisation projects, from concept through deployment and post-launch performance analysis. Build, test, and refine predictive and prescriptive models that deliver tangible business outcomes. Collaborate with data engineers and ML engineers to design robust pipelines integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence. Implement monitoring and retraining frameworks to maintain model performance and governance over time. Contribute to our internal ML frameworks and tooling, streamlining how we experiment, validate, and deploy models at scale. Partner with stakeholders across the airline to translate complex analytical results into clear, actionable recommendations. Stay curious; keep up with developments in ML, GenAI, and responsible-AI practices, bringing new ideas to how we innovate with data. About you You're an experienced, impact-driven data scientist who has seen multiple projects through the full lifecycle, from Jupyter notebook to production API. You combine deep technical expertise with commercial understanding and thrive on collaboration. You'll bring: 5 + years' experience delivering applied machine-learning projects in production. Proven record of deploying and maintaining ML models through CI/CD pipelines Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL. Experience with ML lifecycle tooling such as MLflow and Databricks. Strong understanding of testing, version control, containerisation, and monitoring. Excellent communication skills - able to convey complex ideas clearly to technical and non-technical audiences alike. A degree, PHD or post-doc experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field. Nice to have: Experience applying GenAI or NLP models to real-world business problems. Be yourself - Our differences make us stronger Our customers come from all walks of life and so do our colleagues. That's why we're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you'd like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, () feeling confident that we've got your individual considerations covered. Additional information At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit. Want to learn more? Click here
Dec 12, 2025
Full time
Location: VHQ, Crawley, 3 days on site in line with our hybrid working model Contract Type: Permanent Hours: 37.5 per week, Monday to Friday Closing Date: 15th December 2025 Department: Data & AI Reports to: Manager of Data Science and Operational Research In a nutshell Are you a data scientist who turns models into measurable business impact? At Virgin Atlantic, we're looking for a Senior Data Scientist to design, build, and productionise machine-learning solutions that shape how we fly, plan, and delight our customers. You'll own the full project lifecycle, from defining the business problem and exploring the data to deploying, monitoring, and continuously improving models in production. Your work will directly influence operations, scheduling, and customer experiences, powering decisions that keep Virgin Atlantic ahead of the curve. As an important member of our team you'll also help define our data-science best practices, and champion a culture that values experimentation, collaboration, and delivery excellence. Day to day Lead end-to-end ML and optimisation projects, from concept through deployment and post-launch performance analysis. Build, test, and refine predictive and prescriptive models that deliver tangible business outcomes. Collaborate with data engineers and ML engineers to design robust pipelines integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence. Implement monitoring and retraining frameworks to maintain model performance and governance over time. Contribute to our internal ML frameworks and tooling, streamlining how we experiment, validate, and deploy models at scale. Partner with stakeholders across the airline to translate complex analytical results into clear, actionable recommendations. Stay curious; keep up with developments in ML, GenAI, and responsible-AI practices, bringing new ideas to how we innovate with data. About you You're an experienced, impact-driven data scientist who has seen multiple projects through the full lifecycle, from Jupyter notebook to production API. You combine deep technical expertise with commercial understanding and thrive on collaboration. You'll bring: 5 + years' experience delivering applied machine-learning projects in production. Proven record of deploying and maintaining ML models through CI/CD pipelines Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL. Experience with ML lifecycle tooling such as MLflow and Databricks. Strong understanding of testing, version control, containerisation, and monitoring. Excellent communication skills - able to convey complex ideas clearly to technical and non-technical audiences alike. A degree, PHD or post-doc experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field. Nice to have: Experience applying GenAI or NLP models to real-world business problems. Be yourself - Our differences make us stronger Our customers come from all walks of life and so do our colleagues. That's why we're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you'd like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, () feeling confident that we've got your individual considerations covered. Additional information At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit. Want to learn more? Click here
Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite Im on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact click apply for full job details
Dec 11, 2025
Full time
Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite Im on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact click apply for full job details
At Elanco (NYSE: ELAN) - it all starts with animals! At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! At Elanco, we empower our product teams to solve complex challenges. Both customer and business related, with solutions that drive impact. As a Senior Product Manager at Elanco, you will play a pivotal role in discovering and delivering digital solutions within a complex product area. Ensuring they are valuable, viable and delivering meaningful outcomes that are aligned with corporate strategy and goals. This Senior Product Manager role will be a critical member of the Drug Discovery product team, with an initial focus on in silico structure prediction. You will lead discovery and execution of solutions that advance the way we use technology (AI, ML, Automation, HPC) across research & development. Partnering with internal research and development teams, you will lead initiatives that increase the speed at which we conduct early-stage research that enables us to discover new medicines for animals. Longer term, you'll have opportunities to broaden your impact by transitioning into other product areas as priorities evolve, aligning your career with emerging opportunities across Elanco's product landscape.# Your Responsibilities Competencies Guide teams through lean process facilitation and data-driven improvements. Mentor product managers, fostering strategic growth and collaborative environments. Drive complex projects, maintaining strategic agility and delivering coordinated ideas effectively. Lead probing customer engagement, ensuring alignment and strategic adaptation in product designs. Utilize product knowledge expansively to nurture product vision and roadmap execution. Problem Solving Navigate and resolve ambiguity and complex challenges effectively. Apply strategic insights to deliver comprehensive solutions and drive continuous improvement. Maintain clear team contribution to problem understanding, offering focused and actionable insights. Communication Expand strategic stakeholder relationships through clear and persuasive communications. Foster open dialogue that reinforces collaborative understanding and trust. Pioneer engagement approaches that build consensus across and outside organizational levels. Independence Contribute substantially to the development and execution of strategic business goals and ensure alignment with functional strategies. Lead budgets and prioritize business direction, ensuring alignment and strategic coherence. Leadership Actively explore deeper knowledge in areas of product expertise to guide team success. Facilitate crisis management situations, leading teams effectively to resolution. Champion initiatives that act as catalysts for positive change across functional areas. Act as a thought-leader, influencing strategic product offerings and decisions within Elanco. # What you need to Succeed (minimum qualifications) Bachelor's degree in a relevant field (e.g. Computer Science, Data Science, Engineering, Business). 7+ years in in a dedicated IT Product Management role, with a strong focus on software products. 5+ years working in healthcare/life sciences industry # What will give you a Competitive Edge (preferred qualifications) Experience in research and development environments, with a focus on computational drug discovery Experience or education in protein structure prediction Solid understanding of artificial intelligence and machine learning concepts Experience with technologies such as (or similar to) AlphaFold, Protein LLMs, HPC, Benchling, Schrödinger, Boltz & Databricks. Experience working in Agile/Scrum development environment. Experience building technology solutions for research & development teams. Experience managing products and stakeholders in a global organization.Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. Elanco Animal Health Incorporated (NYSE: ELAN) is a global leader in animal health dedicated to innovating and delivering products and services to prevent and treat disease in farm animals and pets, creating value for farmers, pet owners, veterinarians, stakeholders, and society as a whole. With nearly 70 years of animal health heritage, we are committed to helping our customers improve the health of animals in their care, while also making a meaningful impact on our local and global communities. At Elanco, we are driven by our vision of Food and Companionship Enriching life and our Elanco Healthy Purpose CSR framework - all to advance the health of animals, people and the planet. Learn more at .
Dec 11, 2025
Full time
At Elanco (NYSE: ELAN) - it all starts with animals! At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! At Elanco, we empower our product teams to solve complex challenges. Both customer and business related, with solutions that drive impact. As a Senior Product Manager at Elanco, you will play a pivotal role in discovering and delivering digital solutions within a complex product area. Ensuring they are valuable, viable and delivering meaningful outcomes that are aligned with corporate strategy and goals. This Senior Product Manager role will be a critical member of the Drug Discovery product team, with an initial focus on in silico structure prediction. You will lead discovery and execution of solutions that advance the way we use technology (AI, ML, Automation, HPC) across research & development. Partnering with internal research and development teams, you will lead initiatives that increase the speed at which we conduct early-stage research that enables us to discover new medicines for animals. Longer term, you'll have opportunities to broaden your impact by transitioning into other product areas as priorities evolve, aligning your career with emerging opportunities across Elanco's product landscape.# Your Responsibilities Competencies Guide teams through lean process facilitation and data-driven improvements. Mentor product managers, fostering strategic growth and collaborative environments. Drive complex projects, maintaining strategic agility and delivering coordinated ideas effectively. Lead probing customer engagement, ensuring alignment and strategic adaptation in product designs. Utilize product knowledge expansively to nurture product vision and roadmap execution. Problem Solving Navigate and resolve ambiguity and complex challenges effectively. Apply strategic insights to deliver comprehensive solutions and drive continuous improvement. Maintain clear team contribution to problem understanding, offering focused and actionable insights. Communication Expand strategic stakeholder relationships through clear and persuasive communications. Foster open dialogue that reinforces collaborative understanding and trust. Pioneer engagement approaches that build consensus across and outside organizational levels. Independence Contribute substantially to the development and execution of strategic business goals and ensure alignment with functional strategies. Lead budgets and prioritize business direction, ensuring alignment and strategic coherence. Leadership Actively explore deeper knowledge in areas of product expertise to guide team success. Facilitate crisis management situations, leading teams effectively to resolution. Champion initiatives that act as catalysts for positive change across functional areas. Act as a thought-leader, influencing strategic product offerings and decisions within Elanco. # What you need to Succeed (minimum qualifications) Bachelor's degree in a relevant field (e.g. Computer Science, Data Science, Engineering, Business). 7+ years in in a dedicated IT Product Management role, with a strong focus on software products. 5+ years working in healthcare/life sciences industry # What will give you a Competitive Edge (preferred qualifications) Experience in research and development environments, with a focus on computational drug discovery Experience or education in protein structure prediction Solid understanding of artificial intelligence and machine learning concepts Experience with technologies such as (or similar to) AlphaFold, Protein LLMs, HPC, Benchling, Schrödinger, Boltz & Databricks. Experience working in Agile/Scrum development environment. Experience building technology solutions for research & development teams. Experience managing products and stakeholders in a global organization.Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. Elanco Animal Health Incorporated (NYSE: ELAN) is a global leader in animal health dedicated to innovating and delivering products and services to prevent and treat disease in farm animals and pets, creating value for farmers, pet owners, veterinarians, stakeholders, and society as a whole. With nearly 70 years of animal health heritage, we are committed to helping our customers improve the health of animals in their care, while also making a meaningful impact on our local and global communities. At Elanco, we are driven by our vision of Food and Companionship Enriching life and our Elanco Healthy Purpose CSR framework - all to advance the health of animals, people and the planet. Learn more at .
Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Dec 11, 2025
Full time
Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Dec 11, 2025
Full time
Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Experience Experience in people and/or project management activities. Utilized multiple data science methodologies. Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experienceBS & 7+ years of work experience MS & 6+ years of work experience Excellent communication skills.7+ years of work experience in a data science role Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience Skills and knowledge Demonstrable experience of machine learning techniques and algorithms Experience with statistical techniques and CRISP-DM lifecycle. Production ML Experience: Deployed models that serve real users, ability of scale to million users without incurring technical debt.Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. Experience with data pipeline creation and working with structured and unstructured data. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred. Excellent problem-solving skills combined with the ability to communicate complex technical concepts to non-technical stakeholders.Ability to mentor team of Data Scientists, Machine Learning Engineers and Data Engineers with strategy making capability.
Dec 10, 2025
Full time
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Experience Experience in people and/or project management activities. Utilized multiple data science methodologies. Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experienceBS & 7+ years of work experience MS & 6+ years of work experience Excellent communication skills.7+ years of work experience in a data science role Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience Skills and knowledge Demonstrable experience of machine learning techniques and algorithms Experience with statistical techniques and CRISP-DM lifecycle. Production ML Experience: Deployed models that serve real users, ability of scale to million users without incurring technical debt.Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. Experience with data pipeline creation and working with structured and unstructured data. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred. Excellent problem-solving skills combined with the ability to communicate complex technical concepts to non-technical stakeholders.Ability to mentor team of Data Scientists, Machine Learning Engineers and Data Engineers with strategy making capability.
About the job Our Mission: At WiiGroup, our mission is to revolutionise the AEC industry through innovative solutions, cutting edge technology, and a relentless focus on client satisfaction. We strive to exceed expectations, leverage digitalisation, and shape the future of construction globally. Through innovative solutions and cutting edge technologies. With a passionate team and a track record of delivering outstanding results on complex projects, we provide comprehensive customised services globally. From BIM and Digital Project Control to Immersive Reality and Data Analytics, our solutions push boundaries and set new standards. Join us as we shape the future of construction and create a world where innovation and efficiency thrive. Together, we will transform the way we build and inspire lasting change in the industry. Let's redefine what's possible in AEC. Our Competitive Advantage: Our company gains a competitive edge in the industry through digitalisation, embracing construction technology, and fostering innovative thinking. This enables us to deliver efficient, groundbreaking solutions and stay at the forefront of the rapidly evolving AEC landscape. Innovation and pushing boundaries are paramount in the construction industry. By embracing new ideas, technologies, and methodologies, we drive progress, deliver exceptional results, and shape the future of construction. Start-up Environment: Are you tired of doing the same old same old on every project? At WiiGroup, we are seeking like minded creative professionals to join our team and drive our company's direction and culture. We offer exciting opportunities to work on projects while pushing the boundaries of innovation and digitalisation in the construction industry. Join us and be part of shaping the future of construction. Job Summary We are hiring an Associate Director - Business Intelligence to lead strategic European client accounts. You will own digital and data transformation across multiple capital project portfolio, combining strategy, delivery, and technical assurance to drive measurable value for both WiiGroup and the clients. In this role you will: Own the end to end delivery of complex digital and data initiatives for strategic clients, ensuring alignment with WiiGroup's growth objectives and the client's strategic outcomes. Provide senior leadership across digital project delivery, data and analytics solutions, and platform implementations (e.g. Microsoft Fabric, Azure, Power BI, Power Platform). Define and drive the digital transformation strategy for the client account, building trusted relationships at executive and project levels. Champion WiiGroup's capabilities (Project Management, BIM, Lean, Data Analytics, Power Platform), identifying opportunities to expand scope and create long term value. Lead the planning, execution, and delivery of digital projects, including data platforms, business intelligence solutions, and workflow automation. Ensure all digital and data deliverables are fit for purpose, user centred, on time and within budget. Provide technical assurance and direction for data architectures and analytics solutions on Azure / Fabric, Power BI, and Power Platform. Work with technical teams to design and implement reporting, dashboarding, and data integration that support project controls, portfolio reporting, and executive decision making. Oversee data pipelines and integrations with project and programme tools (e.g. ACC, EcoSys, InEight, Oracle Aconex, Planview, Planisware, Unifier), ensuring strong data governance and quality. Set up and lead governance forums, steering committees, and performance reviews with WiiGroup and client leadership. Evaluate project and programme outcomes, embedding lessons learnt and continuous improvement. Support WiiGroup's growth by shaping propositions, contributing to bids, proposals, and client presentations. Cultivate and deepen client relationships, acting as a trusted advisor across the wider organisation. Mentor and develop WiiGroup team members, fostering a high performance, inclusive, learning focused culture. Contribute to internal standards, playbooks, templates, and knowledge sharing. Our Ideal Candidate You are a strategic digital and data leader who: Is comfortable operating at executive level while engaging in technical detail when required. Understands construction or infrastructure project lifecycles (procurement, design, construction, commissioning, handover). Can translate complex data and technology topics into clear, outcome focused language for non technical stakeholders. Thrives in a fast paced consultancy, balancing client leadership, solution shaping, delivery oversight, and team development. Brings a commercial mindset, spotting opportunities to grow accounts and create long term value. Experience Required 10+ years' experience delivering complex digital, data, or technology enabled projects, including 5+ years in a senior leadership/director role. Strong background in the construction or infrastructure industry. Proven track record leading data and analytics initiatives (e.g. reporting platforms, data warehouses, integrated project controls dashboards). Bachelor's degree (or higher) in a STEM or related discipline (Engineering, Maths, Computer Science, Data, Construction Management). Professional project management qualification (e.g. PMP, PRINCE2, Agile/SAFe) or equivalent experience. Technical & Delivery Skills Hands on experience in Business Intelligence and data reporting (ideally Power BI). Experience designing or implementing data architectures on Microsoft Azure / Microsoft Fabric. Strong SQL and/or Python skills. Practical experience with Agile and Waterfall delivery, comfortable in hybrid environments. Familiarity with project and portfolio systems such as ACC, EcoSys, InEight, Oracle Aconex, Planview, Planisware, Unifier (or similar). Exposure to Power Apps, Power Automate, Power Pages, and Microsoft 365 collaboration tools (Teams, SharePoint). Understanding of Azure services such as Data Lake, Synapse, Databricks, Azure Machine Learning; Fabric for end to end analytics desirable. Awareness of AI enabled tooling (e.g. Copilot / Gemini) is an advantage. Leadership & Interpersonal Skills Proven ability to lead, motivate, and develop cross functional teams across multiple locations. Excellent stakeholder and client management, including C suite engagement. Strong communication, facilitation, and problem solving skills, with the ability to work independently and take ownership. What's On Offer Joining WiiGroup means you get to work with creative professionals who want to push the boundaries of innovation digitalisation. By doing so you will be gaining access to a range of benefits designed to support your personal and professional growth. These include: 25 Days Holidays to recharge and explore Pension Scheme to secure your future Health Cover to prioritise your well being Modern Tech Style Office Career Development in innovation technology Standing Desks with an ergonomic focus Educational Assistance to support your career Wellness Programs; focus on mental physical well being Next Steps If you're ready to embark on an exciting journey with WiiGroup, we encourage you to submit an application or submit your CV to . Join our forward thinking team and be at the forefront of revolutionising the digital project management landscape in AEC. By submitting your application for this position, you acknowledge and agree to the collection, processing, and storage of your personal information by WiiGroup for the sole purpose of the recruitment process. This includes reviewing your application, assessing your qualifications, and contacting you for potential interviews. Your information will be handled with utmost confidentiality and used solely for recruitment related purposes. If you have any concerns or wish to withdraw your application, please contact us at .
Dec 10, 2025
Full time
About the job Our Mission: At WiiGroup, our mission is to revolutionise the AEC industry through innovative solutions, cutting edge technology, and a relentless focus on client satisfaction. We strive to exceed expectations, leverage digitalisation, and shape the future of construction globally. Through innovative solutions and cutting edge technologies. With a passionate team and a track record of delivering outstanding results on complex projects, we provide comprehensive customised services globally. From BIM and Digital Project Control to Immersive Reality and Data Analytics, our solutions push boundaries and set new standards. Join us as we shape the future of construction and create a world where innovation and efficiency thrive. Together, we will transform the way we build and inspire lasting change in the industry. Let's redefine what's possible in AEC. Our Competitive Advantage: Our company gains a competitive edge in the industry through digitalisation, embracing construction technology, and fostering innovative thinking. This enables us to deliver efficient, groundbreaking solutions and stay at the forefront of the rapidly evolving AEC landscape. Innovation and pushing boundaries are paramount in the construction industry. By embracing new ideas, technologies, and methodologies, we drive progress, deliver exceptional results, and shape the future of construction. Start-up Environment: Are you tired of doing the same old same old on every project? At WiiGroup, we are seeking like minded creative professionals to join our team and drive our company's direction and culture. We offer exciting opportunities to work on projects while pushing the boundaries of innovation and digitalisation in the construction industry. Join us and be part of shaping the future of construction. Job Summary We are hiring an Associate Director - Business Intelligence to lead strategic European client accounts. You will own digital and data transformation across multiple capital project portfolio, combining strategy, delivery, and technical assurance to drive measurable value for both WiiGroup and the clients. In this role you will: Own the end to end delivery of complex digital and data initiatives for strategic clients, ensuring alignment with WiiGroup's growth objectives and the client's strategic outcomes. Provide senior leadership across digital project delivery, data and analytics solutions, and platform implementations (e.g. Microsoft Fabric, Azure, Power BI, Power Platform). Define and drive the digital transformation strategy for the client account, building trusted relationships at executive and project levels. Champion WiiGroup's capabilities (Project Management, BIM, Lean, Data Analytics, Power Platform), identifying opportunities to expand scope and create long term value. Lead the planning, execution, and delivery of digital projects, including data platforms, business intelligence solutions, and workflow automation. Ensure all digital and data deliverables are fit for purpose, user centred, on time and within budget. Provide technical assurance and direction for data architectures and analytics solutions on Azure / Fabric, Power BI, and Power Platform. Work with technical teams to design and implement reporting, dashboarding, and data integration that support project controls, portfolio reporting, and executive decision making. Oversee data pipelines and integrations with project and programme tools (e.g. ACC, EcoSys, InEight, Oracle Aconex, Planview, Planisware, Unifier), ensuring strong data governance and quality. Set up and lead governance forums, steering committees, and performance reviews with WiiGroup and client leadership. Evaluate project and programme outcomes, embedding lessons learnt and continuous improvement. Support WiiGroup's growth by shaping propositions, contributing to bids, proposals, and client presentations. Cultivate and deepen client relationships, acting as a trusted advisor across the wider organisation. Mentor and develop WiiGroup team members, fostering a high performance, inclusive, learning focused culture. Contribute to internal standards, playbooks, templates, and knowledge sharing. Our Ideal Candidate You are a strategic digital and data leader who: Is comfortable operating at executive level while engaging in technical detail when required. Understands construction or infrastructure project lifecycles (procurement, design, construction, commissioning, handover). Can translate complex data and technology topics into clear, outcome focused language for non technical stakeholders. Thrives in a fast paced consultancy, balancing client leadership, solution shaping, delivery oversight, and team development. Brings a commercial mindset, spotting opportunities to grow accounts and create long term value. Experience Required 10+ years' experience delivering complex digital, data, or technology enabled projects, including 5+ years in a senior leadership/director role. Strong background in the construction or infrastructure industry. Proven track record leading data and analytics initiatives (e.g. reporting platforms, data warehouses, integrated project controls dashboards). Bachelor's degree (or higher) in a STEM or related discipline (Engineering, Maths, Computer Science, Data, Construction Management). Professional project management qualification (e.g. PMP, PRINCE2, Agile/SAFe) or equivalent experience. Technical & Delivery Skills Hands on experience in Business Intelligence and data reporting (ideally Power BI). Experience designing or implementing data architectures on Microsoft Azure / Microsoft Fabric. Strong SQL and/or Python skills. Practical experience with Agile and Waterfall delivery, comfortable in hybrid environments. Familiarity with project and portfolio systems such as ACC, EcoSys, InEight, Oracle Aconex, Planview, Planisware, Unifier (or similar). Exposure to Power Apps, Power Automate, Power Pages, and Microsoft 365 collaboration tools (Teams, SharePoint). Understanding of Azure services such as Data Lake, Synapse, Databricks, Azure Machine Learning; Fabric for end to end analytics desirable. Awareness of AI enabled tooling (e.g. Copilot / Gemini) is an advantage. Leadership & Interpersonal Skills Proven ability to lead, motivate, and develop cross functional teams across multiple locations. Excellent stakeholder and client management, including C suite engagement. Strong communication, facilitation, and problem solving skills, with the ability to work independently and take ownership. What's On Offer Joining WiiGroup means you get to work with creative professionals who want to push the boundaries of innovation digitalisation. By doing so you will be gaining access to a range of benefits designed to support your personal and professional growth. These include: 25 Days Holidays to recharge and explore Pension Scheme to secure your future Health Cover to prioritise your well being Modern Tech Style Office Career Development in innovation technology Standing Desks with an ergonomic focus Educational Assistance to support your career Wellness Programs; focus on mental physical well being Next Steps If you're ready to embark on an exciting journey with WiiGroup, we encourage you to submit an application or submit your CV to . Join our forward thinking team and be at the forefront of revolutionising the digital project management landscape in AEC. By submitting your application for this position, you acknowledge and agree to the collection, processing, and storage of your personal information by WiiGroup for the sole purpose of the recruitment process. This includes reviewing your application, assessing your qualifications, and contacting you for potential interviews. Your information will be handled with utmost confidentiality and used solely for recruitment related purposes. If you have any concerns or wish to withdraw your application, please contact us at .
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL-like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Dec 10, 2025
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL-like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science
Dec 10, 2025
Full time
Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science
Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Dec 10, 2025
Full time
Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Job Title: AI Solution Architect Location: London, United Kingdom (Hybrid - 1 day/week) Job Type: Contract Inside IR35 Client: Mphasis Job Summary We are looking for a technically savvy and business minded solutions architect to deeply partner with our most strategic and high impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will collaborate with a dynamic team of professionals, contribute to cutting edge technologies, and make a significant impact on our company's success. Years of experience needed: 15+ yrs Responsibilities Lead development of and provide hands on technical leadership in the delivery of proofs of concept or proofs of architecture for our customers. Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real world problems. Deeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Forge and manage relationships with our customers' leadership and stakeholders to ensure their application's successful deployment and scale. Contribute to open source developer and enterprise resources. Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high signal feedback to the Product and Research teams. Technical Skills - Must have At least 5 years of experience with knowledge of Transformer (and other deep learning) architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud based AI/ML technologies (AWS, Azure, Google, HuggingFace, OpenAI, Databricks) building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of generative LLMs. Fundamental knowledge of ML, and basic knowledge of AI, NLP, and large language models (LLM). Comfortable working with Python and Jupyter Notebooks. In depth knowledge and familiarity with cloud platforms like AWS, GCP, and Microsoft Azure. Technical Skills - Good to have Expertise in any one framework (TensorFlow, PyTorch, Keras). Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (e.g., computer vision, deep learning, conversational AI, and natural language processing frameworks). Experience with transforms architecture design, specializing LLM (Zero/Few Shot Training) or any POC to create SML. Expertise in optimizing AI solutions for runtime cost. Expertise in conversational system architecture. Extensive knowledge on API's & integrations, patterns. Extensive knowledge of big data technologies. Knowledge on statistical methods. Other Skills We'd Appreciate Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. Education Qualification Graduate in Engineering or master's in computer applications. Process Skills General SDLC processes. Understanding of utilizing Agile and Scrum software development methodologies. Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills Good attitude and quick learner. Well developed design, analytical & problem solving skills. Strong oral and written communication skills. Excellent team player, able to work with virtual teams. Self motivated and capable of working independently with minimal management supervision. Certification Having Machine Learning or AI certifications would be an added advantage.
Dec 10, 2025
Full time
Job Title: AI Solution Architect Location: London, United Kingdom (Hybrid - 1 day/week) Job Type: Contract Inside IR35 Client: Mphasis Job Summary We are looking for a technically savvy and business minded solutions architect to deeply partner with our most strategic and high impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will collaborate with a dynamic team of professionals, contribute to cutting edge technologies, and make a significant impact on our company's success. Years of experience needed: 15+ yrs Responsibilities Lead development of and provide hands on technical leadership in the delivery of proofs of concept or proofs of architecture for our customers. Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real world problems. Deeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Forge and manage relationships with our customers' leadership and stakeholders to ensure their application's successful deployment and scale. Contribute to open source developer and enterprise resources. Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high signal feedback to the Product and Research teams. Technical Skills - Must have At least 5 years of experience with knowledge of Transformer (and other deep learning) architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud based AI/ML technologies (AWS, Azure, Google, HuggingFace, OpenAI, Databricks) building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of generative LLMs. Fundamental knowledge of ML, and basic knowledge of AI, NLP, and large language models (LLM). Comfortable working with Python and Jupyter Notebooks. In depth knowledge and familiarity with cloud platforms like AWS, GCP, and Microsoft Azure. Technical Skills - Good to have Expertise in any one framework (TensorFlow, PyTorch, Keras). Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (e.g., computer vision, deep learning, conversational AI, and natural language processing frameworks). Experience with transforms architecture design, specializing LLM (Zero/Few Shot Training) or any POC to create SML. Expertise in optimizing AI solutions for runtime cost. Expertise in conversational system architecture. Extensive knowledge on API's & integrations, patterns. Extensive knowledge of big data technologies. Knowledge on statistical methods. Other Skills We'd Appreciate Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. Education Qualification Graduate in Engineering or master's in computer applications. Process Skills General SDLC processes. Understanding of utilizing Agile and Scrum software development methodologies. Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills Good attitude and quick learner. Well developed design, analytical & problem solving skills. Strong oral and written communication skills. Excellent team player, able to work with virtual teams. Self motivated and capable of working independently with minimal management supervision. Certification Having Machine Learning or AI certifications would be an added advantage.
The Global Commercial Analytics organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.We are looking for a Sr. Manager, Data Science and AI who will be responsible for collaborating with CMO & BT leadership in shaping International AI roadmap, will be part of a DS &AI team designing, delivering, and upgrading innovative global capabilities and driving AI fluency in the anchor markets ( majorly EU ).This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights.This role is dynamic, require consulting experience to drive AI transformation to a fast-paced international commercial organization and should stay highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are driving business transformation through proactive thought-leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. Roles & Responsibilities Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics for BT/CMO & ICDLT. Engage with the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret. Continuously evaluate and enhance existing data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI. Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making. Drive AI adoption and thought partner for innovation. Collaborate Cross-Functionally as an International Business Focused AI POD Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution , Market Research Insights counterparts, In market DS to develop and execute a comprehensive analytics solution for both local & international markets. Deliver consolidated insights and actionable recommendations to International Commercial teams, ensuring alignment with strategic objectives and insights finding. Represent data science function and capabilities in Analytic meetings. Work closely with cross-functional teams to ensure seamless integration of business analytics insights into decision-making processes and strategic initiatives. Innovative Data Science Capabilities Support the design, delivery, and scaling of innovative solutions across the organization - from pilot phases to full-scale implementation. Collaborate on the delivery process, leveraging agile methodologies and best practices to efficiently progress from pilot projects to scalable solutions, while maintaining a focus on quality and innovation. Actively participate in upgrading and refining capabilities based on feedback and insights gathered during pilot phases, continuously enhancing the effectiveness and relevance of implemented solutions. Play a key role in the organizational transformation by facilitating the adoption of new capabilities at scale. Cross-Functional Collaboration Work closely with CMO, BT, Digital, in country DS and IIS colleagues to deliver smooth scalable projects withing GCA. Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively. Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making. Minimum of bachelor's degree with strong relevant experience, preferably in engineering, economics, statistics, computer science, or related quantitative field. Advanced degree with some relevant experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, MBA or related field preferred. Experience using data science models to solve problems in a business environment setting. Relevant Experience Experience with machine learning technology, such as: big data, Java, Python, R, AWS, LLM models,. Scala and visualization techniques, including Dash, Tableau and Angular. Experience in understanding brand content, strategy, and tactics. Ability to effectively utilize dashboards and data products to derive insights. Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred. Experience in management of secondary data with application of real-world data. Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect, integrate and synthesize analysis and data into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question. Ability to be flexible, prioritize multiple demands and deal with ambiguity. PROFESSIONAL CHARACTERISTICS Growth Mindset: Evaluates, understands and communicates the impact of certain data insights across the business and works to assist business partners foresee potential strategic changes. Analytical Thinker : Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how CAAI can provide value to the organization. Strong Data and Information Manager : Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights. Strong Communicator : Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others. Relationship Manager : Acts as a thought partner and brings forward recommendations/questions that influences stakeholders; builds robust and long-term strategic relationships with individuals from all levels of the organization, understanding individual goals and objectives to ensure future alignment of the entire portfolio. Highly Collaborative : Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork. Strong Project Manager : Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component
Dec 09, 2025
Full time
The Global Commercial Analytics organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.We are looking for a Sr. Manager, Data Science and AI who will be responsible for collaborating with CMO & BT leadership in shaping International AI roadmap, will be part of a DS &AI team designing, delivering, and upgrading innovative global capabilities and driving AI fluency in the anchor markets ( majorly EU ).This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights.This role is dynamic, require consulting experience to drive AI transformation to a fast-paced international commercial organization and should stay highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are driving business transformation through proactive thought-leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. Roles & Responsibilities Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics for BT/CMO & ICDLT. Engage with the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret. Continuously evaluate and enhance existing data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI. Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making. Drive AI adoption and thought partner for innovation. Collaborate Cross-Functionally as an International Business Focused AI POD Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution , Market Research Insights counterparts, In market DS to develop and execute a comprehensive analytics solution for both local & international markets. Deliver consolidated insights and actionable recommendations to International Commercial teams, ensuring alignment with strategic objectives and insights finding. Represent data science function and capabilities in Analytic meetings. Work closely with cross-functional teams to ensure seamless integration of business analytics insights into decision-making processes and strategic initiatives. Innovative Data Science Capabilities Support the design, delivery, and scaling of innovative solutions across the organization - from pilot phases to full-scale implementation. Collaborate on the delivery process, leveraging agile methodologies and best practices to efficiently progress from pilot projects to scalable solutions, while maintaining a focus on quality and innovation. Actively participate in upgrading and refining capabilities based on feedback and insights gathered during pilot phases, continuously enhancing the effectiveness and relevance of implemented solutions. Play a key role in the organizational transformation by facilitating the adoption of new capabilities at scale. Cross-Functional Collaboration Work closely with CMO, BT, Digital, in country DS and IIS colleagues to deliver smooth scalable projects withing GCA. Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively. Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making. Minimum of bachelor's degree with strong relevant experience, preferably in engineering, economics, statistics, computer science, or related quantitative field. Advanced degree with some relevant experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, MBA or related field preferred. Experience using data science models to solve problems in a business environment setting. Relevant Experience Experience with machine learning technology, such as: big data, Java, Python, R, AWS, LLM models,. Scala and visualization techniques, including Dash, Tableau and Angular. Experience in understanding brand content, strategy, and tactics. Ability to effectively utilize dashboards and data products to derive insights. Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred. Experience in management of secondary data with application of real-world data. Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect, integrate and synthesize analysis and data into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question. Ability to be flexible, prioritize multiple demands and deal with ambiguity. PROFESSIONAL CHARACTERISTICS Growth Mindset: Evaluates, understands and communicates the impact of certain data insights across the business and works to assist business partners foresee potential strategic changes. Analytical Thinker : Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how CAAI can provide value to the organization. Strong Data and Information Manager : Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights. Strong Communicator : Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others. Relationship Manager : Acts as a thought partner and brings forward recommendations/questions that influences stakeholders; builds robust and long-term strategic relationships with individuals from all levels of the organization, understanding individual goals and objectives to ensure future alignment of the entire portfolio. Highly Collaborative : Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork. Strong Project Manager : Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component
About Gorilla Join us at Gorilla and be part of a mission to transform the energy industry. At Gorilla, you'll play a vital role in delivering cutting-edge data solutions for a lower-carbon future. We focus on providing efficient, reliable, and flexible SaaS solutions for data processing and analysis in the energy sector. Together, we're driving digital transformation, maximising ROI for clients, and contributing to achieving net-zero emissions through technology and data-driven insights. About the Calculation Algorithms Team The energy transition creates immense challenges and opportunities. Our Calculation Algorithms Team sits at the core of Gorilla's product, turning complex energy data into actionable insights. This team builds the intelligence that powers our customers' forecasting capabilities and energy data analysis. It's where deep market expertise meets advanced engineering. As part of this group, you'll help design and deliver algorithms that run at scale, process millions of energy data points, and enable energy retailers to operate efficiently in volatile markets. Your Role As a Senior Machine Learning Engineer, you'll take ownership of the design, optimisation, and deployment of forecasting algorithms and ML-based data solutions that form the backbone of Gorilla's next-generation platform. You'll lead Gorilla's efforts in machine learning for forecasting, establishing best practices for model design, evaluation, and deployment in production. Collaborating with teams across Data, Product, and Engineering, you'll ensure that forecasting models scale efficiently, integrate smoothly with our platform, and deliver reliable, explainable results to our customers. This is a forecasting-focused role that combines hands on ML engineering with technical leadership. You'll set up the processes, tooling, and infrastructure needed to build, release, and monitor machine learning models at scale, shaping Gorilla's approach to ML and AI in energy data. What You'll Do Design, build, and maintain forecasting algorithms and ML models that power Gorilla's energy insights at scale. Lead the technical direction for forecasting, ensuring models are accurate, explainable, and production-ready. Develop and improve the processes and tooling that support the full lifecycle of ML models, from training and validation to deployment and monitoring. Collaborate with Product, Data, and Engineering teams to integrate forecasting capabilities into the Gorilla platform. Optimise model performance, reliability, and scalability in distributed and cloud based environments. Establish and document best practices for ML development, testing, and release management. Evaluate and apply modern ML and deep learning techniques to continuously enhance forecasting accuracy. Mentor engineers in ML engineering concepts, model lifecycle management, and performance optimisation. Contribute to building a culture of technical excellence through knowledge sharing, documentation, and collaboration. What You'll Bring 5+ years of experience in software engineering and 5+ years in ML engineering, with proven impact in production environments. Expertise in Python and the modern data stack such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark. Strong ML engineering skills, including model development, deployment, versioning, monitoring, and integration into data pipelines. Experience building and maintaining ML tooling and CI/CD pipelines for model management. Deep understanding of time series forecasting methods and statistical modelling. Hands on experience with cloud based and data environments such as AWS and Databricks. Exposure to deep learning and advanced statistical techniques for forecasting. Familiarity with SaaS or software product environments; experience in energy data or a strong motivation to learn it is a plus. Strong communication and collaboration skills, with the ability to mentor peers and guide cross functional alignment. A technical leadership mindset that drives standards, documentation, and scalability in ML and forecasting practices. Where and how you'd work Our flagship office is in Antwerp, and we also have an office in London and co working spaces in Reading (UK), Austin (US), and Melbourne (ANZ). This is a Remote First role, giving you the freedom to choose where and how you work: from one of our offices (if you're nearby), from home, or a mix of both. Please note that you must be based in Belgium, the UK, or Germany, as we are not able to consider candidates living in other countries. Occasional travel is required to attend team meetings. What's in it for you Flexible work options - whether you choose Office Mix or Remote First Mix (currently available within certain timezones and locations). We offer country specific mobility benefits, and the ability to work flexible hours. You will be equipped with the best technology for remote work. A job with purpose At Gorilla, we're not just watching the world change-we're making it happen! We provide cutting edge data services to energy retailers, helping them tackle climate change while keeping the lights on; we're here to make a big impact and have some fun along the way. Renumeration Approach which is clear and no nonsense based on your experience and location. Core Benefits - Wherever your location, you can expect a generous PTO allowance and health insurance coverage. Career Growth opportunities As Gorilla is growing at an incredible pace, you can leave your mark - growing alongside Gorilla. Lifelong learning is part of our DNA, and we care about your individual dreams and ambitions, beyond just work. International Travel We host Gorilla Company Wide Gatherings where we all get a chance to see each other in real life. Past locations have included Belgium, Portugal, the Netherlands, and Spain.
Dec 09, 2025
Full time
About Gorilla Join us at Gorilla and be part of a mission to transform the energy industry. At Gorilla, you'll play a vital role in delivering cutting-edge data solutions for a lower-carbon future. We focus on providing efficient, reliable, and flexible SaaS solutions for data processing and analysis in the energy sector. Together, we're driving digital transformation, maximising ROI for clients, and contributing to achieving net-zero emissions through technology and data-driven insights. About the Calculation Algorithms Team The energy transition creates immense challenges and opportunities. Our Calculation Algorithms Team sits at the core of Gorilla's product, turning complex energy data into actionable insights. This team builds the intelligence that powers our customers' forecasting capabilities and energy data analysis. It's where deep market expertise meets advanced engineering. As part of this group, you'll help design and deliver algorithms that run at scale, process millions of energy data points, and enable energy retailers to operate efficiently in volatile markets. Your Role As a Senior Machine Learning Engineer, you'll take ownership of the design, optimisation, and deployment of forecasting algorithms and ML-based data solutions that form the backbone of Gorilla's next-generation platform. You'll lead Gorilla's efforts in machine learning for forecasting, establishing best practices for model design, evaluation, and deployment in production. Collaborating with teams across Data, Product, and Engineering, you'll ensure that forecasting models scale efficiently, integrate smoothly with our platform, and deliver reliable, explainable results to our customers. This is a forecasting-focused role that combines hands on ML engineering with technical leadership. You'll set up the processes, tooling, and infrastructure needed to build, release, and monitor machine learning models at scale, shaping Gorilla's approach to ML and AI in energy data. What You'll Do Design, build, and maintain forecasting algorithms and ML models that power Gorilla's energy insights at scale. Lead the technical direction for forecasting, ensuring models are accurate, explainable, and production-ready. Develop and improve the processes and tooling that support the full lifecycle of ML models, from training and validation to deployment and monitoring. Collaborate with Product, Data, and Engineering teams to integrate forecasting capabilities into the Gorilla platform. Optimise model performance, reliability, and scalability in distributed and cloud based environments. Establish and document best practices for ML development, testing, and release management. Evaluate and apply modern ML and deep learning techniques to continuously enhance forecasting accuracy. Mentor engineers in ML engineering concepts, model lifecycle management, and performance optimisation. Contribute to building a culture of technical excellence through knowledge sharing, documentation, and collaboration. What You'll Bring 5+ years of experience in software engineering and 5+ years in ML engineering, with proven impact in production environments. Expertise in Python and the modern data stack such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark. Strong ML engineering skills, including model development, deployment, versioning, monitoring, and integration into data pipelines. Experience building and maintaining ML tooling and CI/CD pipelines for model management. Deep understanding of time series forecasting methods and statistical modelling. Hands on experience with cloud based and data environments such as AWS and Databricks. Exposure to deep learning and advanced statistical techniques for forecasting. Familiarity with SaaS or software product environments; experience in energy data or a strong motivation to learn it is a plus. Strong communication and collaboration skills, with the ability to mentor peers and guide cross functional alignment. A technical leadership mindset that drives standards, documentation, and scalability in ML and forecasting practices. Where and how you'd work Our flagship office is in Antwerp, and we also have an office in London and co working spaces in Reading (UK), Austin (US), and Melbourne (ANZ). This is a Remote First role, giving you the freedom to choose where and how you work: from one of our offices (if you're nearby), from home, or a mix of both. Please note that you must be based in Belgium, the UK, or Germany, as we are not able to consider candidates living in other countries. Occasional travel is required to attend team meetings. What's in it for you Flexible work options - whether you choose Office Mix or Remote First Mix (currently available within certain timezones and locations). We offer country specific mobility benefits, and the ability to work flexible hours. You will be equipped with the best technology for remote work. A job with purpose At Gorilla, we're not just watching the world change-we're making it happen! We provide cutting edge data services to energy retailers, helping them tackle climate change while keeping the lights on; we're here to make a big impact and have some fun along the way. Renumeration Approach which is clear and no nonsense based on your experience and location. Core Benefits - Wherever your location, you can expect a generous PTO allowance and health insurance coverage. Career Growth opportunities As Gorilla is growing at an incredible pace, you can leave your mark - growing alongside Gorilla. Lifelong learning is part of our DNA, and we care about your individual dreams and ambitions, beyond just work. International Travel We host Gorilla Company Wide Gatherings where we all get a chance to see each other in real life. Past locations have included Belgium, Portugal, the Netherlands, and Spain.
