Join a fast-growing fabrication company as a Digital Marketing & Sales Assistant, supporting B2B lead generation, CRM management, campaign performance, and sales growth in a collaborative, commercially driven environment. Digital Marketing & Sales Assistant Office-based Handforth, Cheshire (must live within a 20-mile radius) Part-Time with potential to become Full-Time (27 hours) Competitive salary dependent on experience Please Note: Applicants must be authorised to work in the UK The Role Integrated Air Systems is a fast-growing, Design, Project Management, and Site Installation Company, known for quality engineering, technical expertise, and reliable solutions, combining technical excellence with commercial performance across industrial and engineering sectors. We are seeking a proactive Digital Marketing & Sales Assistant to support our sales and leadership team in a busy B2B environment. This office-based role combines digital marketing, CRM management, lead generation, sales support, and reporting. You will work closely with the Managing Director and Sales Director to align marketing activity with revenue growth and campaign performance. Ideal for someone in a Digital Marketing Assistant, Marketing Executive, CRM Executive, Sales & Marketing Coordinator, or Sales Support role looking to broaden responsibilities and make an impact. You will support campaign planning, marketing automation, CRM administration, and sales coordination, ensuring accurate reporting and performance tracking. This hands-on role requires strong organisational skills, attention to detail, and the ability to manage multiple priorities. Key Responsibilities Plan, create, and execute B2B email marketing campaigns aligned with sales objectives Assist in developing targeted digital marketing campaigns and lead generation initiatives Support marketing automation workflows, email segmentation, and CRM-based campaigns Monitor campaign performance using analytics tools and produce actionable reports Maintain and update CRM systems including logging calls, enquiries, opportunities, and pipeline data Track sales leads, quotations, and pipeline activity to support forecasting and reporting Prepare sales presentations, proposals, and campaign documentation Analyse market trends, competitor activity, and customer behaviour Support reporting on marketing ROI, conversion rates, and KPIs Assist in developing data-led B2B sales campaigns and outreach initiatives Benefits Competitive salary, dependent on experience Part-Time or Full-Time considered Office-based collaborative environment Opportunity to develop within a growing B2B sales and marketing team Exposure to senior leadership and commercial decision-making Chance to be part of an employee-owned company (EOT) The Ideal Candidate You are a commercially aware, detail-oriented Digital Marketing & Sales professional who understands how marketing drives revenue and is confident with CRM systems, analytics, and pipeline management. Experience with digital marketing platforms, CRM systems, and analytics tools Proven experience maintaining and updating CRM systems such as HubSpot, Salesforce, Zoho, or similar Experience supporting B2B sales teams or working in a B2B environment Strong organisational and administrative skills with high attention to detail Excellent written and verbal communication skills Proficient in Microsoft Office (Word, Excel, PowerPoint) Knowledge of marketing automation, lead generation, and campaign reporting advantageous How to Apply Click apply today and follow instructions to submit your application. You must be authorised to work in the UK. No agencies please. Other suitable roles include Digital Marketing Assistant, Marketing Executive, CRM Executive, Sales Support Executive, Sales & Marketing Coordinator, B2B Marketing Executive, Lead Generation Executive, Marketing Administrator.
Feb 28, 2026
Full time
Join a fast-growing fabrication company as a Digital Marketing & Sales Assistant, supporting B2B lead generation, CRM management, campaign performance, and sales growth in a collaborative, commercially driven environment. Digital Marketing & Sales Assistant Office-based Handforth, Cheshire (must live within a 20-mile radius) Part-Time with potential to become Full-Time (27 hours) Competitive salary dependent on experience Please Note: Applicants must be authorised to work in the UK The Role Integrated Air Systems is a fast-growing, Design, Project Management, and Site Installation Company, known for quality engineering, technical expertise, and reliable solutions, combining technical excellence with commercial performance across industrial and engineering sectors. We are seeking a proactive Digital Marketing & Sales Assistant to support our sales and leadership team in a busy B2B environment. This office-based role combines digital marketing, CRM management, lead generation, sales support, and reporting. You will work closely with the Managing Director and Sales Director to align marketing activity with revenue growth and campaign performance. Ideal for someone in a Digital Marketing Assistant, Marketing Executive, CRM Executive, Sales & Marketing Coordinator, or Sales Support role looking to broaden responsibilities and make an impact. You will support campaign planning, marketing automation, CRM administration, and sales coordination, ensuring accurate reporting and performance tracking. This hands-on role requires strong organisational skills, attention to detail, and the ability to manage multiple priorities. Key Responsibilities Plan, create, and execute B2B email marketing campaigns aligned with sales objectives Assist in developing targeted digital marketing campaigns and lead generation initiatives Support marketing automation workflows, email segmentation, and CRM-based campaigns Monitor campaign performance using analytics tools and produce actionable reports Maintain and update CRM systems including logging calls, enquiries, opportunities, and pipeline data Track sales leads, quotations, and pipeline activity to support forecasting and reporting Prepare sales presentations, proposals, and campaign documentation Analyse market trends, competitor activity, and customer behaviour Support reporting on marketing ROI, conversion rates, and KPIs Assist in developing data-led B2B sales campaigns and outreach initiatives Benefits Competitive salary, dependent on experience Part-Time or Full-Time considered Office-based collaborative environment Opportunity to develop within a growing B2B sales and marketing team Exposure to senior leadership and commercial decision-making Chance to be part of an employee-owned company (EOT) The Ideal Candidate You are a commercially aware, detail-oriented Digital Marketing & Sales professional who understands how marketing drives revenue and is confident with CRM systems, analytics, and pipeline management. Experience with digital marketing platforms, CRM systems, and analytics tools Proven experience maintaining and updating CRM systems such as HubSpot, Salesforce, Zoho, or similar Experience supporting B2B sales teams or working in a B2B environment Strong organisational and administrative skills with high attention to detail Excellent written and verbal communication skills Proficient in Microsoft Office (Word, Excel, PowerPoint) Knowledge of marketing automation, lead generation, and campaign reporting advantageous How to Apply Click apply today and follow instructions to submit your application. You must be authorised to work in the UK. No agencies please. Other suitable roles include Digital Marketing Assistant, Marketing Executive, CRM Executive, Sales Support Executive, Sales & Marketing Coordinator, B2B Marketing Executive, Lead Generation Executive, Marketing Administrator.
SLSQ127R492 The Databricks Learning and Enablement team is on a mission to up-skill Data and AI professionals in our customer organisations to use Databricks and accelerate customer success and outcomes. We are looking for a Regional Leader to lead our Enablement organisation. You will manage and develop a regional team that is highly skilled in enabling various audience segments that influence the adoption and democratisation of data and AI including seller, technical pre-sales, service delivery, partners and customers, ensuring they have what they need when they need it. You will work with many cross-functional stakeholders across Sales, Field Engineering, and Professional Services account teams to support and advocate for onboarding and ongoing talent transformation needs. Your team will ensure that our training is achieving business objectives, as would be expected given the size of the local market. Balancing a combination of internal and external enablement you team is critical to the success of regional business. The Learning and Enablement team is seen throughout Databricks as a strategic driver for increasing adoption and success. The impact you will have Create a vision and strategy for enablement to accelerate the growth in EMEA business. Drive all enablement initiatives in the EMEA region for customers, a broad user base, channel partners, and the Databricks Field team. Develop a growing team of enablement specialist driving deeper impact to the EMEA business. Bring your creativity to the table, developing cutting-edge learning strategies that elevate the customer experience. Develop, lead and enable continuous development of the regional team of high performing customer enablement teams that support customer success through enablement driving up-skilling and re-skilling talent. Boost field productivity and manage channel growth, taking our organisation to the next level through targeted and measured enablement activities for Sales, Field engineering and the entire partner ecosystem supporting EMEA business. What we look for 7-10 years of people leadership experience in Learning, customer success and/or sales functions with direct management of enablement and progressive increase in the scope of the role. Strategic mindset and proven track record of driving organisation growth through people enablement and innovative plans. Deep understanding of sales and consumption operating model for a technology platform enterprise software. Demonstrated ability to inspire and motivate technical and sales teams in a high growth environment managing a broad set of stakeholders. Tech bar: technical enough to understand the curriculum and certifications, to make recommendations to customers, and to be able to coach and support your team to do the same. 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 & 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.
Feb 28, 2026
Full time
SLSQ127R492 The Databricks Learning and Enablement team is on a mission to up-skill Data and AI professionals in our customer organisations to use Databricks and accelerate customer success and outcomes. We are looking for a Regional Leader to lead our Enablement organisation. You will manage and develop a regional team that is highly skilled in enabling various audience segments that influence the adoption and democratisation of data and AI including seller, technical pre-sales, service delivery, partners and customers, ensuring they have what they need when they need it. You will work with many cross-functional stakeholders across Sales, Field Engineering, and Professional Services account teams to support and advocate for onboarding and ongoing talent transformation needs. Your team will ensure that our training is achieving business objectives, as would be expected given the size of the local market. Balancing a combination of internal and external enablement you team is critical to the success of regional business. The Learning and Enablement team is seen throughout Databricks as a strategic driver for increasing adoption and success. The impact you will have Create a vision and strategy for enablement to accelerate the growth in EMEA business. Drive all enablement initiatives in the EMEA region for customers, a broad user base, channel partners, and the Databricks Field team. Develop a growing team of enablement specialist driving deeper impact to the EMEA business. Bring your creativity to the table, developing cutting-edge learning strategies that elevate the customer experience. Develop, lead and enable continuous development of the regional team of high performing customer enablement teams that support customer success through enablement driving up-skilling and re-skilling talent. Boost field productivity and manage channel growth, taking our organisation to the next level through targeted and measured enablement activities for Sales, Field engineering and the entire partner ecosystem supporting EMEA business. What we look for 7-10 years of people leadership experience in Learning, customer success and/or sales functions with direct management of enablement and progressive increase in the scope of the role. Strategic mindset and proven track record of driving organisation growth through people enablement and innovative plans. Deep understanding of sales and consumption operating model for a technology platform enterprise software. Demonstrated ability to inspire and motivate technical and sales teams in a high growth environment managing a broad set of stakeholders. Tech bar: technical enough to understand the curriculum and certifications, to make recommendations to customers, and to be able to coach and support your team to do the same. 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 & 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.
Our innovation strategy is simple - We want to solve the challenges we have today as well as find answers to some of our industry's bigger long-term challenges. Whether it's delivering water that is always good to drink, reducing waste in our processes with energy efficient technologies or improving visibility of the network, our150+ strong team of innovators are working day in day out to make it happen. If you want to do more because you care, we'd love to talk to you. There really is something for everyone here. With that in mind we're looking for a Data Science Manager within our Asset Intelligence & Innovation Team to help us as we do so, based at our Coventry office. Are you an experienced Data Scientist who is ready to take their career to the next level? Are you passionate about data, technology, people and how they can be used to deliver amazing outcomes? Are you someone who thrives in a fast-paced environment? And are you proficient in programming languages Python and SQL? If so, we want to talk to you! EVERYTHING YOU NEED TO KNOW As a successful candidate, you'll play the key role of leading a team of Data Scientists and Analytics professionals, and support in creating a high performing Data Science delivery team and support us on the transition towards MLOps. You must be a great influencer and have experience with a range of stakeholders as you will lead on the delivery of an optimised data science service to all key stakeholders across Severn Trent. Equally as important is you having excellent knowledge of standards, tools and techniques used within the profession as well as being familiar with data analytics and Agile methodologies/frameworks. This is due to you having a requirement to present analytics opportunities, progress and results to senior stakeholders. It's key that you have an ability to communicate technical concepts in a clear and compelling way at all levels of the organisation. So, if you are passionate about, and motivated to, deliver a world class customer experience send us your application today. WHAT YOU'LL BRING TO THE ROLE In this role we will look for you to have previous stakeholder management experience and excellent communication skills. You will also have experience using program analytics Python or similar and a good level of SQL skills and also Cloud computing. Experience using Power BI is ideal but not essential. We welcome people from all walks of life and celebrate individuality as we know diverse minds, experiences and backgrounds help us to learn and better serve our communities. We want people who show up and get involve. Those who are ready to be part of something bigger and who want to make a difference because they care. Is that you? WHAT'S IN IT FOR YOU Working here isn't just a job. You can build a career at Severn Trent. We'll reward you for it, too. We have a range of benefits that recognise great work, and award winning training to help you reach your potential. And we'll also help you play your part in looking after the environment and the communities where we live. With that in mind, here are just some of our favourite's perks that you'll get being part of the Seven Trent family: 28 days holiday + bank holidays (and the ability to buy/ sell up to 5 days per year) Annual bonus scheme (of up to £2,250 per annum based on company performance) Leading pension scheme - we will double your contribution (up to 15% when you contribute 7.5%) Sharesave - the chance to buy Severn Trent Plc shares at a discounted rate Dedicated training and development with our 'Academy' Electric vehicle scheme and retail offers Family friendly policies Two volunteering days per year WHAT'S NEXT We can't wait to hear from you. Before you apply, you'll need an updated copy of your CV and about five minutes to spare. If your curiosity has been piqued and you're wanting to find out even more, search social media. Ps. we'll always let you know the outcome of your application after the closing date - so keep an eye on your phone and emails!
Feb 28, 2026
Full time
Our innovation strategy is simple - We want to solve the challenges we have today as well as find answers to some of our industry's bigger long-term challenges. Whether it's delivering water that is always good to drink, reducing waste in our processes with energy efficient technologies or improving visibility of the network, our150+ strong team of innovators are working day in day out to make it happen. If you want to do more because you care, we'd love to talk to you. There really is something for everyone here. With that in mind we're looking for a Data Science Manager within our Asset Intelligence & Innovation Team to help us as we do so, based at our Coventry office. Are you an experienced Data Scientist who is ready to take their career to the next level? Are you passionate about data, technology, people and how they can be used to deliver amazing outcomes? Are you someone who thrives in a fast-paced environment? And are you proficient in programming languages Python and SQL? If so, we want to talk to you! EVERYTHING YOU NEED TO KNOW As a successful candidate, you'll play the key role of leading a team of Data Scientists and Analytics professionals, and support in creating a high performing Data Science delivery team and support us on the transition towards MLOps. You must be a great influencer and have experience with a range of stakeholders as you will lead on the delivery of an optimised data science service to all key stakeholders across Severn Trent. Equally as important is you having excellent knowledge of standards, tools and techniques used within the profession as well as being familiar with data analytics and Agile methodologies/frameworks. This is due to you having a requirement to present analytics opportunities, progress and results to senior stakeholders. It's key that you have an ability to communicate technical concepts in a clear and compelling way at all levels of the organisation. So, if you are passionate about, and motivated to, deliver a world class customer experience send us your application today. WHAT YOU'LL BRING TO THE ROLE In this role we will look for you to have previous stakeholder management experience and excellent communication skills. You will also have experience using program analytics Python or similar and a good level of SQL skills and also Cloud computing. Experience using Power BI is ideal but not essential. We welcome people from all walks of life and celebrate individuality as we know diverse minds, experiences and backgrounds help us to learn and better serve our communities. We want people who show up and get involve. Those who are ready to be part of something bigger and who want to make a difference because they care. Is that you? WHAT'S IN IT FOR YOU Working here isn't just a job. You can build a career at Severn Trent. We'll reward you for it, too. We have a range of benefits that recognise great work, and award winning training to help you reach your potential. And we'll also help you play your part in looking after the environment and the communities where we live. With that in mind, here are just some of our favourite's perks that you'll get being part of the Seven Trent family: 28 days holiday + bank holidays (and the ability to buy/ sell up to 5 days per year) Annual bonus scheme (of up to £2,250 per annum based on company performance) Leading pension scheme - we will double your contribution (up to 15% when you contribute 7.5%) Sharesave - the chance to buy Severn Trent Plc shares at a discounted rate Dedicated training and development with our 'Academy' Electric vehicle scheme and retail offers Family friendly policies Two volunteering days per year WHAT'S NEXT We can't wait to hear from you. Before you apply, you'll need an updated copy of your CV and about five minutes to spare. If your curiosity has been piqued and you're wanting to find out even more, search social media. Ps. we'll always let you know the outcome of your application after the closing date - so keep an eye on your phone and emails!
Manpower are currently seeking an interim Graduate Process Engineer, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. The position is based in Port Sunlight Village, Wirral easily accessible by train and car. This is a full-time temporary role to last until the end of August 2026, requiring 37.5 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to 42,000 per annum, pro rata, depending upon experience. The role holder will own the performance data analytics, line settings process, changeover process and problem solving for their lines. They will be responsible for providing the rights stops and performance data for the line workflows and problem-solving sessions, elimination of the process variability of the equipment assigned to them through line settings and changeover processes, as well as building problem solving capability in operators. Key Accountabilities Owns stops and performance data analytics for the line. Provides stops, MTBS, OEE data for meetings. Supports the line team with further analytics for line workflows and problem-solving sessions Owns Line heat map for loss stratification and top loss identification Continuously drives the development of the performance analytics tools Owns the line settings process for the line. This includes deployment, execution, reporting the KPI for meetings and continuous improvement of the process Owns the changeover process for the line. This includes deployment, execution, reporting the KPI for meetings and continuous improvement of the process cell Leads SMED workshops for the line to improve the changeover process Owns the problem-solving process for the line. Provides subject matter support to the line team and operators. Supports building problem solving capability in operators Coaches operators on processes. Support the development and execution of distinct areas of the 90-day plan and weekly/monthly plans Supports and leads problem solving sessions. Key Requirements A flair for improvement engineering and coaching. Able to visualize clearly what the ideal production system is Able to clearly understand operating principles and establish correct operating standards Able to present findings and rationales clearly so that whole factory team can understand Able to make logical decisions based on data Able to prioritise effectively between daily losses (sporadic) and long-term losses (Chronic). Additional Information Port Sunlight working environment: Staff shop discounted products Free tea, coffee & ice cream Working in carefully restored listed building, in modern and bright working environment Free parking onsite 5 mins walk to train station serving Liverpool & Chester 20-minute drive from Liverpool city centre/30-minutes' drive from Chester Disabled parking In the heart of picturesque Port Sunlight village There are also several site clubs available to join covering a range of topics including Book Club, Running, Choir, Pool, Genealogy and much more. The site has three catering outlets which provide a range of hot and cold food and drinks daily. In addition there are a range of vending machines and cold water dispensers around the site accessible throughout the day.
Feb 28, 2026
Seasonal
Manpower are currently seeking an interim Graduate Process Engineer, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. The position is based in Port Sunlight Village, Wirral easily accessible by train and car. This is a full-time temporary role to last until the end of August 2026, requiring 37.5 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to 42,000 per annum, pro rata, depending upon experience. The role holder will own the performance data analytics, line settings process, changeover process and problem solving for their lines. They will be responsible for providing the rights stops and performance data for the line workflows and problem-solving sessions, elimination of the process variability of the equipment assigned to them through line settings and changeover processes, as well as building problem solving capability in operators. Key Accountabilities Owns stops and performance data analytics for the line. Provides stops, MTBS, OEE data for meetings. Supports the line team with further analytics for line workflows and problem-solving sessions Owns Line heat map for loss stratification and top loss identification Continuously drives the development of the performance analytics tools Owns the line settings process for the line. This includes deployment, execution, reporting the KPI for meetings and continuous improvement of the process Owns the changeover process for the line. This includes deployment, execution, reporting the KPI for meetings and continuous improvement of the process cell Leads SMED workshops for the line to improve the changeover process Owns the problem-solving process for the line. Provides subject matter support to the line team and operators. Supports building problem solving capability in operators Coaches operators on processes. Support the development and execution of distinct areas of the 90-day plan and weekly/monthly plans Supports and leads problem solving sessions. Key Requirements A flair for improvement engineering and coaching. Able to visualize clearly what the ideal production system is Able to clearly understand operating principles and establish correct operating standards Able to present findings and rationales clearly so that whole factory team can understand Able to make logical decisions based on data Able to prioritise effectively between daily losses (sporadic) and long-term losses (Chronic). Additional Information Port Sunlight working environment: Staff shop discounted products Free tea, coffee & ice cream Working in carefully restored listed building, in modern and bright working environment Free parking onsite 5 mins walk to train station serving Liverpool & Chester 20-minute drive from Liverpool city centre/30-minutes' drive from Chester Disabled parking In the heart of picturesque Port Sunlight village There are also several site clubs available to join covering a range of topics including Book Club, Running, Choir, Pool, Genealogy and much more. The site has three catering outlets which provide a range of hot and cold food and drinks daily. In addition there are a range of vending machines and cold water dispensers around the site accessible throughout the day.
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Feb 28, 2026
Full time
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Senior Systems Architect Duration: Min 6 months Rate: 800 to 900 Per Day - Inside IR35 via Umbrella Location: Warwickshire - Hybrid Working options available An accomplished, Midlands based Interim Senior Systems Architect is required to support our leading financial services client's Datacentre Exit program, the Data Centre of Excellence and Data Engineering team. The successful candidate will need to have a strong Senior Systems Architect background, with proven experience leading on the designs for Azure based Data platforms (Azure Synapse Analytics highly desirable). Data centre experience is also required. Deliverables - Deliverable 1: Support data engineering with any solutions design, HLD's needed for the long term and strategic solution move to Synapse. Deliverable 2: To provide IT assurance of SDP changes & DCoE initiatives, supplier produced proposals, technical reporting, remediation approaches and designs. Deliverable 3: To produce designs and other architectural artefacts as required to support delivery of SDP / DCoE projects. Deliverable 4: To provide tech advice and guidance to the various projects and DCoE to ensure that they remain fully engaged with the wider architectural community and comply with process and governance requirements Deliverable 5: To provide technical advice, guidance and support to the data engineering team and Architecture as required. Deliverable 6: Produce necessary KDD's and HLD's and Solution Visions to enable the delivery of BODS decommissioning and DCX / DCoE. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
Feb 28, 2026
Contractor
Senior Systems Architect Duration: Min 6 months Rate: 800 to 900 Per Day - Inside IR35 via Umbrella Location: Warwickshire - Hybrid Working options available An accomplished, Midlands based Interim Senior Systems Architect is required to support our leading financial services client's Datacentre Exit program, the Data Centre of Excellence and Data Engineering team. The successful candidate will need to have a strong Senior Systems Architect background, with proven experience leading on the designs for Azure based Data platforms (Azure Synapse Analytics highly desirable). Data centre experience is also required. Deliverables - Deliverable 1: Support data engineering with any solutions design, HLD's needed for the long term and strategic solution move to Synapse. Deliverable 2: To provide IT assurance of SDP changes & DCoE initiatives, supplier produced proposals, technical reporting, remediation approaches and designs. Deliverable 3: To produce designs and other architectural artefacts as required to support delivery of SDP / DCoE projects. Deliverable 4: To provide tech advice and guidance to the various projects and DCoE to ensure that they remain fully engaged with the wider architectural community and comply with process and governance requirements Deliverable 5: To provide technical advice, guidance and support to the data engineering team and Architecture as required. Deliverable 6: Produce necessary KDD's and HLD's and Solution Visions to enable the delivery of BODS decommissioning and DCX / DCoE. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
Risk Reporting Data Strategy are responsible for requirements gathering, and supporting the design, and optimization of data structures that support the firm's risk management objectives. This role partners closely with Risk Management, Product, Technology, Chief Data Office and Risk Reporting stakeholders to validate that risk data is accurately captured, transformed, and presented in a manner that enables effective risk analysis, regulatory compliance, and strategic decision-making. As a Vice President within Risk Reporting Data Strategy team you willbe involved in integrating target-state data models with future-state reporting tools, and validating their compatibility and efficiency in collaboration with Technology-aligned Information Architects and Risk Reporting end-users. Job Responsibilities Collaborate with Risk Reporting teams to understand reporting requirements, identify atomic data elements, transformations and aggregations and translate into requirements. Partner with Technology Information Architect to review and maintain robust data models for risk reporting, maintaining scalability, accuracy, consistency, and alignment with Risk Reporting and Data Strategy requirements. Support the integration of risk data from multiple sources to a cloud based architecture with AI capabilities, to enable accessibility for reporting and analytics. Review data quality controls, validation processes, and governance frameworks, adapting to revised data sourcing patterns to maintain the integrity, accuracy, and security of risk data. Support functional reporting teams as they develop reporting on target state platforms, including dashboards and visualizations. Partner with Technology Architects, Data Engineers, and Reporting Analysts to align and optimize data structures / outputs with enterprise standards and best practices, including testing data models against reporting toolsets to validate compatibility and performance. Continue to enhance the BCBS 239 (Risk Data Aggregation and Reporting) framework to maintain compliance with regulatory expectations. Required qualifications, capabilities, and skills Experience in data requirements gathering. Experience in SQL and Python. Experience with Business Intelligence tools such as Databricks. Excellent analytical, problem-solving, and communication skills. Experience with data governance, data quality frameworks. Ability to work collaboratively across business and technology teams.
Feb 28, 2026
Full time
Risk Reporting Data Strategy are responsible for requirements gathering, and supporting the design, and optimization of data structures that support the firm's risk management objectives. This role partners closely with Risk Management, Product, Technology, Chief Data Office and Risk Reporting stakeholders to validate that risk data is accurately captured, transformed, and presented in a manner that enables effective risk analysis, regulatory compliance, and strategic decision-making. As a Vice President within Risk Reporting Data Strategy team you willbe involved in integrating target-state data models with future-state reporting tools, and validating their compatibility and efficiency in collaboration with Technology-aligned Information Architects and Risk Reporting end-users. Job Responsibilities Collaborate with Risk Reporting teams to understand reporting requirements, identify atomic data elements, transformations and aggregations and translate into requirements. Partner with Technology Information Architect to review and maintain robust data models for risk reporting, maintaining scalability, accuracy, consistency, and alignment with Risk Reporting and Data Strategy requirements. Support the integration of risk data from multiple sources to a cloud based architecture with AI capabilities, to enable accessibility for reporting and analytics. Review data quality controls, validation processes, and governance frameworks, adapting to revised data sourcing patterns to maintain the integrity, accuracy, and security of risk data. Support functional reporting teams as they develop reporting on target state platforms, including dashboards and visualizations. Partner with Technology Architects, Data Engineers, and Reporting Analysts to align and optimize data structures / outputs with enterprise standards and best practices, including testing data models against reporting toolsets to validate compatibility and performance. Continue to enhance the BCBS 239 (Risk Data Aggregation and Reporting) framework to maintain compliance with regulatory expectations. Required qualifications, capabilities, and skills Experience in data requirements gathering. Experience in SQL and Python. Experience with Business Intelligence tools such as Databricks. Excellent analytical, problem-solving, and communication skills. Experience with data governance, data quality frameworks. Ability to work collaboratively across business and technology teams.
Lead Data Analyst Salary: 70K - 90K Location: Manchester (Hybrid) We're working with a high-growth business that is scaling its data function to the next level. They are investing heavily in their product and data capabilities, as part of this investment, they are hiring a Lead Data Analyst to own experimentation and performance insight across their search ranking and personalisation systems. The Opportunity Within this role as Lead Data Analyst, you will partner closely with cross-functional teams to ensure product changes are properly tested, accurately measured, and clearly linked to business performance. This is a product-focused analytics leadership position with a strong emphasis on experimentation and impact evaluation. Skills & Experience Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation Proven expertise in A/B testing Commercial awareness Strong SQL experience Experience partnering with data scientists and engineering teams This is an opportunity to have ownership. For consideration, please submit your CV. Lead Data Analyst
Feb 28, 2026
Full time
Lead Data Analyst Salary: 70K - 90K Location: Manchester (Hybrid) We're working with a high-growth business that is scaling its data function to the next level. They are investing heavily in their product and data capabilities, as part of this investment, they are hiring a Lead Data Analyst to own experimentation and performance insight across their search ranking and personalisation systems. The Opportunity Within this role as Lead Data Analyst, you will partner closely with cross-functional teams to ensure product changes are properly tested, accurately measured, and clearly linked to business performance. This is a product-focused analytics leadership position with a strong emphasis on experimentation and impact evaluation. Skills & Experience Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation Proven expertise in A/B testing Commercial awareness Strong SQL experience Experience partnering with data scientists and engineering teams This is an opportunity to have ownership. For consideration, please submit your CV. Lead Data Analyst
A leading retail company is seeking a Data Science Manager to lead its Data, Analytics & AI team. You will mentor a team of data scientists and analysts while owning the delivery of data science products. This hands-on role emphasizes both technical delivery and strategic leadership, with responsibilities spanning mentoring, roadmap development, and collaboration with various stakeholders. The ideal candidate will have strong expertise in SQL and programming, along with excellent communication skills.
Feb 28, 2026
Full time
A leading retail company is seeking a Data Science Manager to lead its Data, Analytics & AI team. You will mentor a team of data scientists and analysts while owning the delivery of data science products. This hands-on role emphasizes both technical delivery and strategic leadership, with responsibilities spanning mentoring, roadmap development, and collaboration with various stakeholders. The ideal candidate will have strong expertise in SQL and programming, along with excellent communication skills.
Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Feb 28, 2026
Full time
Ready to shape the future of data? Matillion is the intelligent data integration platform. We're changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we're shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join , where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers. We are looking for a consultative technical expert who can own the pre sales lifecycle-from qualifying complex use cases and managing high stakes software trials to demonstrating exactly how Matillion's platform solves mission critical data challenges. You won't just be "demoing" software; you'll be driving measurable business value and fostering the long term relationships that underpin our growth. Sales & Validation Cycle Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes. Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution's fit while positioning competitive advantages. Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned. Post Sales Onboarding & Growth Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win." Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively. Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI Strategy, Product, & Brand Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real world problem solving. Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment. Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge. Must haves: 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections. Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n) Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands on experience with technical problem solving and integration technologies (APIs, Linux, SQL). Excellent communication and presentation skills, with the ability to engage both technical and non technical stakeholders. Good to haves: Knowledge of with Matillion's Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role's estimated annual salaried pay range for this position is £71,680 - £107,520. Because this role is eligible for variable pay in the form of sales commissions, your total annual on target annual earnings will be between £102,400 - £153,600. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. At Matillion, we're here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren't for the faint hearted, and we don't shy away from them. But we don't do it alone. No egos, no politics - just great people working together, guided by our six core values; - Confidence without arrogance - Working with integrity - Customer obsessed - Innovate and demand quality - Bias for action - We care We operate a flexible working culture that promotes work life balance, with benefits including: - Company Equity - 30 days holiday + bank holidays - 5 days paid volunteering leave - Health insurance - Life Insurance - Access to mental health support - Pension More about Matillion Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email . Find out more about life on here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
The Firmwide Chief Data Office is responsible for maximizing the value and impact of data globally, in a highly governed way. It consists of several teams focused on accelerating JPMorgan Chase's data, analytics, and AI journey, including data strategy, data impact optimization, privacy, data governance, transformation, and talent. We are looking for a team member to help support the strategy for how we make data available to power everything from new product development to Artificial Intelligence models. This team member will join the team responsible for supporting the Firmwide data publishing strategy and driving the adoption of the strategy across the firm. As a Vice President - Ontology, you will have the opportunity to work on the JP Morgan Chase team shaping our knowledge representation and data publishing standards. Your role will involve utilizing ontologies and taxonomies to enhance data interoperability and management, preparing our data for AI applications. Your responsibilities will range from engaging with and educating domain experts to assessing data standards and developing our organization-wide ontology. We are looking for someone with an understanding semantic technologies, ontologies, or a related technical field. Job Responsibilities Participate in the development and adoption of ontologies to represent data standards in complex domains. Evaluate industry standard ontologies for adoption across JPMC. Work closely with stakeholders, subject matter experts, product owners, and engineers to understand use cases, requirements and dependencies, critically assessing proposed solutions. Communicate complex ideas effectively to collaborators using precise terminology and relatable examples and ask clarifying questions to define core meanings. Communicate the concepts and accepted practices, standards and objective of ontologies to stakeholders. Keep abreast of emerging trends and advancements in data standards, ontology engineering, knowledge representation, and semantic technologies. Balance timeliness with quality under tight deadlines, managing multiple priorities and partners. Ensure end-to-end relevance to stakeholder needs from gathering competency questions to achieving successful integrations. Required Qualifications, Capabilities, and Skills Significant experience developing and managing ontologies for real-world applications. Experience with Semantic Web technologies (RDF/S, OWL, SKOS), query languages (SPARQL), and validation standards (SHACL). Experience with ontology and taxonomy development process and tools (e.g., Protégé, TopBraid, PoolParty, etc.). Experience with large-scale knowledge graph development, including schema design, entity modeling, and relationship mapping to support various business domains. Structured thinker and effective communicator with excellent written communication skills. Ability to crisply articulate technical concepts to senior audiences with poise and confidence. Preferred Qualifications, Capabilities, and Skills Bachelor's or advanced degree in a field focused on ontology engineering, knowledge representation, or semantic technologies, such as Information Science, Library Science, Linguistics, or Computer Science. Knowledge and understanding of a broad set of JPMC products and processes is a value add. Demonstrated interest in emerging technology and data engineering trends in the financial services industry. Experience with data standards and ontologies for Data and Financial services. Contributions to Ontology community, such as papers, conference presentations, industry standard contributions, or open source contributions.
Feb 28, 2026
Full time
The Firmwide Chief Data Office is responsible for maximizing the value and impact of data globally, in a highly governed way. It consists of several teams focused on accelerating JPMorgan Chase's data, analytics, and AI journey, including data strategy, data impact optimization, privacy, data governance, transformation, and talent. We are looking for a team member to help support the strategy for how we make data available to power everything from new product development to Artificial Intelligence models. This team member will join the team responsible for supporting the Firmwide data publishing strategy and driving the adoption of the strategy across the firm. As a Vice President - Ontology, you will have the opportunity to work on the JP Morgan Chase team shaping our knowledge representation and data publishing standards. Your role will involve utilizing ontologies and taxonomies to enhance data interoperability and management, preparing our data for AI applications. Your responsibilities will range from engaging with and educating domain experts to assessing data standards and developing our organization-wide ontology. We are looking for someone with an understanding semantic technologies, ontologies, or a related technical field. Job Responsibilities Participate in the development and adoption of ontologies to represent data standards in complex domains. Evaluate industry standard ontologies for adoption across JPMC. Work closely with stakeholders, subject matter experts, product owners, and engineers to understand use cases, requirements and dependencies, critically assessing proposed solutions. Communicate complex ideas effectively to collaborators using precise terminology and relatable examples and ask clarifying questions to define core meanings. Communicate the concepts and accepted practices, standards and objective of ontologies to stakeholders. Keep abreast of emerging trends and advancements in data standards, ontology engineering, knowledge representation, and semantic technologies. Balance timeliness with quality under tight deadlines, managing multiple priorities and partners. Ensure end-to-end relevance to stakeholder needs from gathering competency questions to achieving successful integrations. Required Qualifications, Capabilities, and Skills Significant experience developing and managing ontologies for real-world applications. Experience with Semantic Web technologies (RDF/S, OWL, SKOS), query languages (SPARQL), and validation standards (SHACL). Experience with ontology and taxonomy development process and tools (e.g., Protégé, TopBraid, PoolParty, etc.). Experience with large-scale knowledge graph development, including schema design, entity modeling, and relationship mapping to support various business domains. Structured thinker and effective communicator with excellent written communication skills. Ability to crisply articulate technical concepts to senior audiences with poise and confidence. Preferred Qualifications, Capabilities, and Skills Bachelor's or advanced degree in a field focused on ontology engineering, knowledge representation, or semantic technologies, such as Information Science, Library Science, Linguistics, or Computer Science. Knowledge and understanding of a broad set of JPMC products and processes is a value add. Demonstrated interest in emerging technology and data engineering trends in the financial services industry. Experience with data standards and ontologies for Data and Financial services. Contributions to Ontology community, such as papers, conference presentations, industry standard contributions, or open source contributions.
A leading water management company located in Coventry is seeking a Data Science Manager to lead a team of Data Scientists. The successful candidate will need to manage relationships with various stakeholders and demonstrate strong skills in Python and SQL. Ideal applicants will be familiar with Agile methodologies and cloud computing. This role involves communicating analytical results to senior management to deliver effective outcomes and enhance customer experience.
Feb 28, 2026
Full time
A leading water management company located in Coventry is seeking a Data Science Manager to lead a team of Data Scientists. The successful candidate will need to manage relationships with various stakeholders and demonstrate strong skills in Python and SQL. Ideal applicants will be familiar with Agile methodologies and cloud computing. This role involves communicating analytical results to senior management to deliver effective outcomes and enhance customer experience.
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self-serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value. As a Data Science Manager, you'll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You'll work closely with stakeholders across the organisation to understand their challenges and apply cutting-edge analytics to solve them. This is a hands on role with technical delivery at its core, combined with leadership and strategic direction. What you'll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute to a 1-2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes Embed a lean, value first culture, minimising waste and driving improvements in efficiency and EBITDA Champion data literacy and promote best practice in analytical thinking across the business Translate business problems into analytical approaches, delivering insights that inform action Support the team with hands on technical tasks where required, including coding and modelling Collaborate with Data Engineering and other teams to ensure the right data is available and accessible About you What we're looking for: A strategic thinker with experience solving complex business problems through data Strong communication and storytelling skills. Able to bring data to life for non technical audiences An inclusive and motivating leader, with experience mentoring others and creating high performing teams Comfortable working in both Agile and Waterfall environments Inquisitive mindset - always looking to challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred About us In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family member Annual bonus scheme Career progression and development opportunities Generous holiday entitlement Market leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers Free parking onsite Enhanced Family, Maternity and Paternity Leave Private Healthcare Car Allowance (company car provided in some instances) Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you'll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking! At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you! At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too. We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
Feb 28, 2026
Full time
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self-serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value. As a Data Science Manager, you'll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You'll work closely with stakeholders across the organisation to understand their challenges and apply cutting-edge analytics to solve them. This is a hands on role with technical delivery at its core, combined with leadership and strategic direction. What you'll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute to a 1-2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes Embed a lean, value first culture, minimising waste and driving improvements in efficiency and EBITDA Champion data literacy and promote best practice in analytical thinking across the business Translate business problems into analytical approaches, delivering insights that inform action Support the team with hands on technical tasks where required, including coding and modelling Collaborate with Data Engineering and other teams to ensure the right data is available and accessible About you What we're looking for: A strategic thinker with experience solving complex business problems through data Strong communication and storytelling skills. Able to bring data to life for non technical audiences An inclusive and motivating leader, with experience mentoring others and creating high performing teams Comfortable working in both Agile and Waterfall environments Inquisitive mindset - always looking to challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred About us In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family member Annual bonus scheme Career progression and development opportunities Generous holiday entitlement Market leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers Free parking onsite Enhanced Family, Maternity and Paternity Leave Private Healthcare Car Allowance (company car provided in some instances) Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you'll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking! At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you! At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too. We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
Overview We are Reckitt. Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Supply Sustainability Our Sustainability team sits at the heart of Reckitt's purpose. We turn ambition into action; shaping how our brands, products and operations work to protect, heal and nurture the world we all share. From tackling climate change and reducing our environmental footprint, to driving circular design, responsible sourcing and social impact, our work helps ensure that cleaner, healthier living is accessible for everyone. If you're looking for a career where your expertise and action bias drives meaningful change, Sustainability at Reckitt offers a unique opportunity. You'll work cross functionally to turn data into insight that delivers practical solutions to improve the environmental performance of our products and operations. You'll join a global, purpose-driven community that is relentlessly focused on turning bold ambitions into real world progress, with pace, collaboration and integrity. The right candidate The right candidate will have strong carbon accounting experience, a solid commercial grounding, a keen grasp of current and emerging sustainability trends and the ability to leverage project management skills to coordinate complex, cross-functional, high-visibility topics simultaneously. Your responsibilities Reckitt has a growing track-record in sustainability leadership and we're committed to making a positive impact. You'll be responsible for driving the Scope 3 Decarbonisation agenda across the business. This role will be central in delivering our sustainability ambitions, working with teams across the organisation to strengthen transparency and ensure accurate, reliable data in a field that is constantly evolving. You'll provide technical insight and guidance to support informed decision making on critical scope 3 carbon related topics while supporting progress towards our decarbonisation goals. This is an exciting opportunity for an individual with considerable experience in carbon accounting who enjoys working in a collaborative, fast paced, data driven environment and is passionate about driving decarbonisation initiatives. KEY RESPONSIBILITIES: Establish and maintain governance frameworks for Scope 3 carbon GHG reporting, ensuring consistency, accuracy and alignment with Reckitt's sustainability targets and external standards Ensure Scope 3 reporting processes are compliant with GHG Protocol, CSRD, SBTi and other relevant regulatory and voluntary frameworks Translate data into actionable recommendations for emissions reduction Maintain and improve systems for data collection, validation and audit readiness Support the design and implementation of systems for managing and integrating primary data into Scope 3 reporting Review and update reporting methods and associated documentation as required Resolve data gaps and champion continuous improvement Translate data into actionable recommendations for emissions reduction Review and respond to relevant climate-related consultations (GHG Protocol) Assist with external climate-related disclosures (CDP, CSRD) Attend relevant internal forums to ensure that sustainability implications are understood and highlighted where applicable, with key cross functional teams including Procurement, R&D and Marketing This position reports into the Business Director Sustainability: Carbon & Packaging. You will work closely to shape the strategic direction of the organisation in reducing Scope 3 emissions. This role requires both deep experience with carbon accounting and a high level of agility and collaboration to share best practice & develop solutions in support of our corporate sustainability ambitions. The experience we're looking for Degree in Environmental Science, Sustainability, Engineering, Data Analytics or related field 10+ years' experience leading carbon accounting within a global organisation, FMCG experience advantageous Strong knowledge of carbon accounting frameworks (GHG Protocol, ISO 14064) Able to put theory into practice by developing clear and pragmatic strategies that can be integrated into business processes Experience with implementing a Climate Transition Plan Strong awareness of current and emerging ESG trends, risks and opportunities that may affect Reckitt's brands Proven ability to analyse data, build insights and present findings clearly Ability to balance detail orientation with strategic perspective Strong stakeholder engagement and cross-functional collaboration Proactive, collaborative, and comfortable working across multiple teams Confident with managing ambiguity and able to develop suitable pathways to complex problems by balancing multiple objectives and considering trade offs Track record of managing multiple workstreams with conflicting priorities and deadlines What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always "tick all the boxes". That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
Feb 28, 2026
Full time
Overview We are Reckitt. Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Supply Sustainability Our Sustainability team sits at the heart of Reckitt's purpose. We turn ambition into action; shaping how our brands, products and operations work to protect, heal and nurture the world we all share. From tackling climate change and reducing our environmental footprint, to driving circular design, responsible sourcing and social impact, our work helps ensure that cleaner, healthier living is accessible for everyone. If you're looking for a career where your expertise and action bias drives meaningful change, Sustainability at Reckitt offers a unique opportunity. You'll work cross functionally to turn data into insight that delivers practical solutions to improve the environmental performance of our products and operations. You'll join a global, purpose-driven community that is relentlessly focused on turning bold ambitions into real world progress, with pace, collaboration and integrity. The right candidate The right candidate will have strong carbon accounting experience, a solid commercial grounding, a keen grasp of current and emerging sustainability trends and the ability to leverage project management skills to coordinate complex, cross-functional, high-visibility topics simultaneously. Your responsibilities Reckitt has a growing track-record in sustainability leadership and we're committed to making a positive impact. You'll be responsible for driving the Scope 3 Decarbonisation agenda across the business. This role will be central in delivering our sustainability ambitions, working with teams across the organisation to strengthen transparency and ensure accurate, reliable data in a field that is constantly evolving. You'll provide technical insight and guidance to support informed decision making on critical scope 3 carbon related topics while supporting progress towards our decarbonisation goals. This is an exciting opportunity for an individual with considerable experience in carbon accounting who enjoys working in a collaborative, fast paced, data driven environment and is passionate about driving decarbonisation initiatives. KEY RESPONSIBILITIES: Establish and maintain governance frameworks for Scope 3 carbon GHG reporting, ensuring consistency, accuracy and alignment with Reckitt's sustainability targets and external standards Ensure Scope 3 reporting processes are compliant with GHG Protocol, CSRD, SBTi and other relevant regulatory and voluntary frameworks Translate data into actionable recommendations for emissions reduction Maintain and improve systems for data collection, validation and audit readiness Support the design and implementation of systems for managing and integrating primary data into Scope 3 reporting Review and update reporting methods and associated documentation as required Resolve data gaps and champion continuous improvement Translate data into actionable recommendations for emissions reduction Review and respond to relevant climate-related consultations (GHG Protocol) Assist with external climate-related disclosures (CDP, CSRD) Attend relevant internal forums to ensure that sustainability implications are understood and highlighted where applicable, with key cross functional teams including Procurement, R&D and Marketing This position reports into the Business Director Sustainability: Carbon & Packaging. You will work closely to shape the strategic direction of the organisation in reducing Scope 3 emissions. This role requires both deep experience with carbon accounting and a high level of agility and collaboration to share best practice & develop solutions in support of our corporate sustainability ambitions. The experience we're looking for Degree in Environmental Science, Sustainability, Engineering, Data Analytics or related field 10+ years' experience leading carbon accounting within a global organisation, FMCG experience advantageous Strong knowledge of carbon accounting frameworks (GHG Protocol, ISO 14064) Able to put theory into practice by developing clear and pragmatic strategies that can be integrated into business processes Experience with implementing a Climate Transition Plan Strong awareness of current and emerging ESG trends, risks and opportunities that may affect Reckitt's brands Proven ability to analyse data, build insights and present findings clearly Ability to balance detail orientation with strategic perspective Strong stakeholder engagement and cross-functional collaboration Proactive, collaborative, and comfortable working across multiple teams Confident with managing ambiguity and able to develop suitable pathways to complex problems by balancing multiple objectives and considering trade offs Track record of managing multiple workstreams with conflicting priorities and deadlines What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always "tick all the boxes". That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by purpose driven technology. Join our Data & AI Strategy team and be part of the future of AI consulting. We are not just advising clients; we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands on experience in AI development - people who understand the technology and can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLE This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance to AI sovereignty in enterprise architecture and enabling the AI empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next generation data, analytics and AI platforms - you will lead the architecture and development of scalable, secure and cost efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - you will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud native solutions that unlock agility and performance. We INNOVATE with AI driven data solutions - you will create proof of concepts and minimum viable products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - you will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure as Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - you will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - you will champion user centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - we leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks. As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - campaign development, internal think tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - training to support your career development and the skills demand within the company, certifications, etc. You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next generation data platforms that power business transformation. We build end to end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise grade data platforms. In this role, you will bring deep expertise in cloud native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data driven success. YOUR PROFILE As a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI, not just through technical delivery but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team that has diverse backgrounds, perspectives and strengths. Key Skills Growth mindset and curiosity - you're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - you have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - you're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - whether through hands on development or strategic project exposure, you can confidently engage with AI concepts and tools. Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Desirable Experience Domain Experience - primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value. Proven track record of applying Agile methodologies and leading cross functional teams to deliver complex data and AI solutions. WHAT YOU'LL LOVE ABOUT WORKING HERE Our team drives business transformation by architecting next generation data and AI platforms that reimagine enterprise operating models, unlock new value streams and embed AI into the core of business strategy. We work across a wide range of industries, delivering outcomes that matter to society. You'll have the freedom to experiment, innovate, and shape your own career path, supported by mentorship from leading experts in data and AI. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively make it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to create a positive work life balance . click apply for full job details
Feb 28, 2026
Full time
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by purpose driven technology. Join our Data & AI Strategy team and be part of the future of AI consulting. We are not just advising clients; we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands on experience in AI development - people who understand the technology and can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLE This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance to AI sovereignty in enterprise architecture and enabling the AI empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next generation data, analytics and AI platforms - you will lead the architecture and development of scalable, secure and cost efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - you will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud native solutions that unlock agility and performance. We INNOVATE with AI driven data solutions - you will create proof of concepts and minimum viable products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - you will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure as Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - you will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - you will champion user centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - we leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks. As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - campaign development, internal think tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - training to support your career development and the skills demand within the company, certifications, etc. You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next generation data platforms that power business transformation. We build end to end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise grade data platforms. In this role, you will bring deep expertise in cloud native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data driven success. YOUR PROFILE As a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI, not just through technical delivery but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team that has diverse backgrounds, perspectives and strengths. Key Skills Growth mindset and curiosity - you're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - you have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - you're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - whether through hands on development or strategic project exposure, you can confidently engage with AI concepts and tools. Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Desirable Experience Domain Experience - primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value. Proven track record of applying Agile methodologies and leading cross functional teams to deliver complex data and AI solutions. WHAT YOU'LL LOVE ABOUT WORKING HERE Our team drives business transformation by architecting next generation data and AI platforms that reimagine enterprise operating models, unlock new value streams and embed AI into the core of business strategy. We work across a wide range of industries, delivering outcomes that matter to society. You'll have the freedom to experiment, innovate, and shape your own career path, supported by mentorship from leading experts in data and AI. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively make it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to create a positive work life balance . click apply for full job details
Data Scientist (NLP & LLM Specialist) Remote- UK 6-month contract with Potential Extension Day rate - 427.68 - 565 per day Inside IR35 Data Scientist (NLP & LLM Specialist) Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting. Industry Knowledge: Experience with Risk Modeling or financial services is preferred. This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Feb 28, 2026
Contractor
Data Scientist (NLP & LLM Specialist) Remote- UK 6-month contract with Potential Extension Day rate - 427.68 - 565 per day Inside IR35 Data Scientist (NLP & LLM Specialist) Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting. Industry Knowledge: Experience with Risk Modeling or financial services is preferred. This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Job Title: Corporate Planning & Management - Global Procurement - Strategic Supplier Management Divisional Overview The Corporate Planning & Management (CPM) division integrates financial planning, spend management, third-party risk management, product management and engineering teams to support strategic decisions across the firm. Finance & Planning Drives business planning, budgeting, and analytics across revenue, expense, liquidity, and capital. The pillar includes divisional CFOs providing strategic finance advisory, Product Finance managing non-compensation expense governance, and Corporate Insurance & Advisory overseeing the firm's insurance needs and risk mitigation. Global Procurement Strategically manages third-party engagement, optimizing value and mitigating risks across the supply chain. Key functions include Strategic Sourcing, Third-Party Risk Management (TPRM), Procure to Pay (P2P), Travel, and Sustainable Operations driving ESG initiatives. Product & Reporting Manages the product lifecycle for CPM technology platforms and delivers comprehensive reporting, dashboards, and analytics. The team oversees financial planning and analysis systems, spend management tools, and TPRM solutions while providing stakeholders with actionable insights for evidence-based decisions. CPM Engineering Provides engineering solutions enabling third-party spend management, data automation, budget planning, financial forecasting, and expense allocation aligned with strategic objectives. CPM Management Provides strategic oversight, operational support, communications and change management, and risk governance across the division. Role Overview Professionals in CPM have an analytical mindset, exhibit intellectual curiosity and are from diverse academic backgrounds. This role sits within the Global Procurement pillar in the newly formed Strategic Supplier Management (SSM) Team. The SSM Team is at the forefront of transforming how the firm manages its most critical supplier relationships. You'll have the opportunity to help shape the SSM function while working directly with senior stakeholders across divisions to create long-term value, foster innovation, mitigate risks, and ensure strategic alignment with our key partners. As an SSM, you will be the primary interface for these strategic relationships, ensuring that supplier performance delivers on expectations, and that the firm continuously leverages supplier capabilities for competitive advantage. The role involves cross-functional collaboration, in-depth analysis, and senior management reporting - requiring both diligence and a commercial mindset. Job responsibilities will include, but are not limited to: Build and maintain strong and collaborative relationships across a portfolio of key strategic suppliers and internal business stakeholders, acting as the primary contact and escalation point. Identify and accelerate in contract value opportunities-performance improvement, innovation, risk reduction, and sustainability - while measuring contractual SLAs & KPIs. Establish and regularly assess performance and risk metrics to ensure vendor reliability. Provide regular reporting on strategic supplier performance, risks, and value creation initiatives to senior leadership and relevant stakeholders. Lead vendor meetings and facilitate cross functional collaboration to align objectives and resolve issues to maximize supplier value. Identify potential areas to create operational efficiencies and automate manual processes. Stay abreast of market trends, supplier capabilities, and competitive landscapes to inform strategic sourcing decisions and identify new opportunities with existing or potential strategic partners. Required Skills: Relationship Management: Proven ability to build trust, influence stakeholders, and foster collaborative partnerships at all levels - both internally and externally. Project & Program Management: Experience managing multiple initiatives concurrently, driving projects to completion, and coordinating cross functional teams effectively. Analytical & Problem Solving: Strong analytical skills with the ability to assess supplier performance, identify risks, evaluate commercial opportunities, and develop data driven solutions. Communication & Presentation: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to a variety of audiences. Strategic Thinking & Business Acumen: Ability to understand complex business needs, align supplier strategies with organizational goals, and identify opportunities for long term value creation. Qualifications and Experience: Relevant bachelor's degree or equivalent qualification with an excellent academic record. 6+ years of relevant experience in procurement, supply chain management, or supplier relationship management roles, with a significant focus on strategic suppliers. Proven track record of managing complex, high value supplier relationships and delivering measurable value (e.g., cost savings, innovation, risk reduction and service improvement). Proficiency with SRM software, e procurement platforms, and data analytics tools.
Feb 28, 2026
Full time
Job Title: Corporate Planning & Management - Global Procurement - Strategic Supplier Management Divisional Overview The Corporate Planning & Management (CPM) division integrates financial planning, spend management, third-party risk management, product management and engineering teams to support strategic decisions across the firm. Finance & Planning Drives business planning, budgeting, and analytics across revenue, expense, liquidity, and capital. The pillar includes divisional CFOs providing strategic finance advisory, Product Finance managing non-compensation expense governance, and Corporate Insurance & Advisory overseeing the firm's insurance needs and risk mitigation. Global Procurement Strategically manages third-party engagement, optimizing value and mitigating risks across the supply chain. Key functions include Strategic Sourcing, Third-Party Risk Management (TPRM), Procure to Pay (P2P), Travel, and Sustainable Operations driving ESG initiatives. Product & Reporting Manages the product lifecycle for CPM technology platforms and delivers comprehensive reporting, dashboards, and analytics. The team oversees financial planning and analysis systems, spend management tools, and TPRM solutions while providing stakeholders with actionable insights for evidence-based decisions. CPM Engineering Provides engineering solutions enabling third-party spend management, data automation, budget planning, financial forecasting, and expense allocation aligned with strategic objectives. CPM Management Provides strategic oversight, operational support, communications and change management, and risk governance across the division. Role Overview Professionals in CPM have an analytical mindset, exhibit intellectual curiosity and are from diverse academic backgrounds. This role sits within the Global Procurement pillar in the newly formed Strategic Supplier Management (SSM) Team. The SSM Team is at the forefront of transforming how the firm manages its most critical supplier relationships. You'll have the opportunity to help shape the SSM function while working directly with senior stakeholders across divisions to create long-term value, foster innovation, mitigate risks, and ensure strategic alignment with our key partners. As an SSM, you will be the primary interface for these strategic relationships, ensuring that supplier performance delivers on expectations, and that the firm continuously leverages supplier capabilities for competitive advantage. The role involves cross-functional collaboration, in-depth analysis, and senior management reporting - requiring both diligence and a commercial mindset. Job responsibilities will include, but are not limited to: Build and maintain strong and collaborative relationships across a portfolio of key strategic suppliers and internal business stakeholders, acting as the primary contact and escalation point. Identify and accelerate in contract value opportunities-performance improvement, innovation, risk reduction, and sustainability - while measuring contractual SLAs & KPIs. Establish and regularly assess performance and risk metrics to ensure vendor reliability. Provide regular reporting on strategic supplier performance, risks, and value creation initiatives to senior leadership and relevant stakeholders. Lead vendor meetings and facilitate cross functional collaboration to align objectives and resolve issues to maximize supplier value. Identify potential areas to create operational efficiencies and automate manual processes. Stay abreast of market trends, supplier capabilities, and competitive landscapes to inform strategic sourcing decisions and identify new opportunities with existing or potential strategic partners. Required Skills: Relationship Management: Proven ability to build trust, influence stakeholders, and foster collaborative partnerships at all levels - both internally and externally. Project & Program Management: Experience managing multiple initiatives concurrently, driving projects to completion, and coordinating cross functional teams effectively. Analytical & Problem Solving: Strong analytical skills with the ability to assess supplier performance, identify risks, evaluate commercial opportunities, and develop data driven solutions. Communication & Presentation: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to a variety of audiences. Strategic Thinking & Business Acumen: Ability to understand complex business needs, align supplier strategies with organizational goals, and identify opportunities for long term value creation. Qualifications and Experience: Relevant bachelor's degree or equivalent qualification with an excellent academic record. 6+ years of relevant experience in procurement, supply chain management, or supplier relationship management roles, with a significant focus on strategic suppliers. Proven track record of managing complex, high value supplier relationships and delivering measurable value (e.g., cost savings, innovation, risk reduction and service improvement). Proficiency with SRM software, e procurement platforms, and data analytics tools.
The impact you will have: As Head of Engineering, you will lead the Data and Intelligence Engineering organisation, setting the technical direction, shaping the team structures, and driving engineering and operational maturity across the domain. Your ownership will span the ingestion of external and intelligence data sources through to the serving of foundational datasets that underpin our products. As the business scales rapidly, you will ensure that our data pipelines, infrastructure, and engineering practices scale with it, enabling reliable, high performance data flows and empowering teams across the company to build on robust, well engineered foundations. You will be the strategic and technical leader for this organisation, working closely alongside senior engineers, product, and intelligence to build the operating model, shape the strategy, and mature the organisation while keeping existing delivery on track and earning the trust and confidence of the team and your peers. Elliptic is known for its extensive and reliable datasets. You will play a critical role in ensuring that reputation scales. You will define how data is built, operated, and evolved as the business grows. The data platform serves product, intelligence, commercial, finance, and operations teams, and you'll be the primary point of contact across all of them. What you will do: Own the technical vision and platform roadmap for the data domain, working with principal engineering on architectural decisions that balance business need, reliability, cost, and innovation Build and mature the domain's organisational structure, team boundaries, ownership models, ways of working, and hiring plans Set delivery standards and cadences that improve predictability without killing velocity Drive operational excellence. Help steer SLAs, observability, data quality practices, and incident response, ensuring the platform is reliable, measurable, and continuously improving Serve as the face of data engineering across product, commercial, intelligence, operations, and finance Work closely with engineering managers to build a clear picture of team performance and contribute to hiring, development, and retention of strong engineering leaders Navigate the tension between supporting product and revenue teams and building reliable, scalable infrastructure. Demonstrate honesty and integrity when communicating what can and can't be prioritised. Go beyond the "what" of priorities and own the "why" too Grow into increasing scope and responsibility as the engineering function scales and matures You will be a great fit here if you: Get energy from building and scaling, developing teams, structures, practices, and strategies that enable sustained growth and technical excellence. Stay close to the technology and can go deep in an architecture review, but know your job is to lead through others Think about data infrastructure as a platform with internal customers, not just a collection of pipelines Start from what the business needs and work backwards to what the platform should look like. Can paint a clear picture of platform excellence and lay out a vision for future platform capabilities and performance, and inspire others to rally around it Can hold high standards and genuine warmth for your people, challenging and supporting them to develop, grow, and achieve their full potential Push back when you need to, clearly and kindly, while keeping relationships intact Are honest about where you're still growing and want a coaching relationship, not just a reporting line Our ideal candidate has: Led a multi team engineering organisation, accountable for delivery success and for fostering the growth and development of your teams. Led through others, fostering empowered teams and strong technical leadership at every level. Owned data infrastructure in a product company where they felt the weight of reliability, cost and stakeholder expectations simultaneously. You have maintained workstreams of innovation and operational excellence side by side. Built something organisational from scratch. For example a team, a capability, a delivery practice, an operating cadence Worked directly with product, analytics, or business stakeholders to manage competing demands and communicate trade-offs Bonus Points for: Having a genuine interest in the crypto ecosystem and being behind the mission of the company Experience at a company in a similar growth phase - scaling a data/engineering cohort from 20 into something meaningfully larger Breadth across data engineering, operations, BI enablement, and product. You understand the full value chain from ingestion to decision and can make strong recommendations with little oversight Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
Feb 28, 2026
Full time
The impact you will have: As Head of Engineering, you will lead the Data and Intelligence Engineering organisation, setting the technical direction, shaping the team structures, and driving engineering and operational maturity across the domain. Your ownership will span the ingestion of external and intelligence data sources through to the serving of foundational datasets that underpin our products. As the business scales rapidly, you will ensure that our data pipelines, infrastructure, and engineering practices scale with it, enabling reliable, high performance data flows and empowering teams across the company to build on robust, well engineered foundations. You will be the strategic and technical leader for this organisation, working closely alongside senior engineers, product, and intelligence to build the operating model, shape the strategy, and mature the organisation while keeping existing delivery on track and earning the trust and confidence of the team and your peers. Elliptic is known for its extensive and reliable datasets. You will play a critical role in ensuring that reputation scales. You will define how data is built, operated, and evolved as the business grows. The data platform serves product, intelligence, commercial, finance, and operations teams, and you'll be the primary point of contact across all of them. What you will do: Own the technical vision and platform roadmap for the data domain, working with principal engineering on architectural decisions that balance business need, reliability, cost, and innovation Build and mature the domain's organisational structure, team boundaries, ownership models, ways of working, and hiring plans Set delivery standards and cadences that improve predictability without killing velocity Drive operational excellence. Help steer SLAs, observability, data quality practices, and incident response, ensuring the platform is reliable, measurable, and continuously improving Serve as the face of data engineering across product, commercial, intelligence, operations, and finance Work closely with engineering managers to build a clear picture of team performance and contribute to hiring, development, and retention of strong engineering leaders Navigate the tension between supporting product and revenue teams and building reliable, scalable infrastructure. Demonstrate honesty and integrity when communicating what can and can't be prioritised. Go beyond the "what" of priorities and own the "why" too Grow into increasing scope and responsibility as the engineering function scales and matures You will be a great fit here if you: Get energy from building and scaling, developing teams, structures, practices, and strategies that enable sustained growth and technical excellence. Stay close to the technology and can go deep in an architecture review, but know your job is to lead through others Think about data infrastructure as a platform with internal customers, not just a collection of pipelines Start from what the business needs and work backwards to what the platform should look like. Can paint a clear picture of platform excellence and lay out a vision for future platform capabilities and performance, and inspire others to rally around it Can hold high standards and genuine warmth for your people, challenging and supporting them to develop, grow, and achieve their full potential Push back when you need to, clearly and kindly, while keeping relationships intact Are honest about where you're still growing and want a coaching relationship, not just a reporting line Our ideal candidate has: Led a multi team engineering organisation, accountable for delivery success and for fostering the growth and development of your teams. Led through others, fostering empowered teams and strong technical leadership at every level. Owned data infrastructure in a product company where they felt the weight of reliability, cost and stakeholder expectations simultaneously. You have maintained workstreams of innovation and operational excellence side by side. Built something organisational from scratch. For example a team, a capability, a delivery practice, an operating cadence Worked directly with product, analytics, or business stakeholders to manage competing demands and communicate trade-offs Bonus Points for: Having a genuine interest in the crypto ecosystem and being behind the mission of the company Experience at a company in a similar growth phase - scaling a data/engineering cohort from 20 into something meaningfully larger Breadth across data engineering, operations, BI enablement, and product. You understand the full value chain from ingestion to decision and can make strong recommendations with little oversight Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme
Azure Cloud Architect (Transition & Knowledge Transfer) Location: Remote Contract Duration: 6 Months (Initial) Role Type: Contract Role Overview We are seeking a highly analytical Azure Cloud Architect for a critical 6-month knowledge transfer project. This is a unique opportunity for an architect who excels at "technical discovery"-the primary objective is to absorb, document, and validate an existing Azure environment from an incumbent provider to ensure a seamless transition of ownership to the internal team. You will act as the technical lead for the handover, ensuring that every configuration, security policy, and operational workflow is captured and ready for long-term support. Key Responsibilities Knowledge Transfer (KT) Leadership: Receive structured KT sessions from the outgoing architect, covering all aspects of the current Azure estate. Architecture Mapping: Deeply understand and document existing solution architectures, complex integrations, and governance models. Shadowing & Validation: Observe the incumbent during operational tasks and change processes to validate technical workflows against documentation. Gap Analysis: Proactively identify "knowledge gaps" in the transition process and request additional deep-dive sessions where necessary. Documentation & Runbooks: Author comprehensive "As-Is" architecture diagrams, operational SOPs, incident response guides, and security frameworks. Transition Support: Ensure the internal engineering and operations teams are fully equipped to maintain and improve the platform post-handover. Required Skills & Experience Expert Azure Knowledge: Strong hands-on experience across core services, including Compute, Networking (VNETs, ExpressRoute), Storage, and Identity (Entra ID). Architectural Forensics: Proven ability to review existing cloud environments and understand complex, inherited configurations. Analytical Mindset: Excellent ability to learn quickly, ask the right probing questions, and "de-risk" a technical transition. Technical Writing: Superior documentation skills; you must be able to translate verbal KT into clear, professional guides and runbooks. Governance & Security: Practical knowledge of Azure Policy, RBAC, Blueprints, and monitoring tools (Log Analytics, Azure Monitor). Preferred Qualifications Certifications: AZ-305 (Solutions Architect Expert) or AZ-104 (Administrator Associate) preferred. Transition Experience: Prior experience in cloud environment takeovers, service transitions, or onboarding complex technical estates. DevOps Understanding: General knowledge of Infrastructure as Code (Terraform/Bicep) and CI/CD pipelines is beneficial. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Feb 28, 2026
Contractor
Azure Cloud Architect (Transition & Knowledge Transfer) Location: Remote Contract Duration: 6 Months (Initial) Role Type: Contract Role Overview We are seeking a highly analytical Azure Cloud Architect for a critical 6-month knowledge transfer project. This is a unique opportunity for an architect who excels at "technical discovery"-the primary objective is to absorb, document, and validate an existing Azure environment from an incumbent provider to ensure a seamless transition of ownership to the internal team. You will act as the technical lead for the handover, ensuring that every configuration, security policy, and operational workflow is captured and ready for long-term support. Key Responsibilities Knowledge Transfer (KT) Leadership: Receive structured KT sessions from the outgoing architect, covering all aspects of the current Azure estate. Architecture Mapping: Deeply understand and document existing solution architectures, complex integrations, and governance models. Shadowing & Validation: Observe the incumbent during operational tasks and change processes to validate technical workflows against documentation. Gap Analysis: Proactively identify "knowledge gaps" in the transition process and request additional deep-dive sessions where necessary. Documentation & Runbooks: Author comprehensive "As-Is" architecture diagrams, operational SOPs, incident response guides, and security frameworks. Transition Support: Ensure the internal engineering and operations teams are fully equipped to maintain and improve the platform post-handover. Required Skills & Experience Expert Azure Knowledge: Strong hands-on experience across core services, including Compute, Networking (VNETs, ExpressRoute), Storage, and Identity (Entra ID). Architectural Forensics: Proven ability to review existing cloud environments and understand complex, inherited configurations. Analytical Mindset: Excellent ability to learn quickly, ask the right probing questions, and "de-risk" a technical transition. Technical Writing: Superior documentation skills; you must be able to translate verbal KT into clear, professional guides and runbooks. Governance & Security: Practical knowledge of Azure Policy, RBAC, Blueprints, and monitoring tools (Log Analytics, Azure Monitor). Preferred Qualifications Certifications: AZ-305 (Solutions Architect Expert) or AZ-104 (Administrator Associate) preferred. Transition Experience: Prior experience in cloud environment takeovers, service transitions, or onboarding complex technical estates. DevOps Understanding: General knowledge of Infrastructure as Code (Terraform/Bicep) and CI/CD pipelines is beneficial. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Lead Data Engineer/Head of Data Permanent On behalf of a fantstic cleint we are resourcing for the following role This is a senior, hands-on technical leadership role reporting directly to the CTO. You'll shape and deliver a modern data and AI platform, lead a small team of data and analytics engineers, and embed machine learning, AI agents, and advanced analytics into real customer workflows. The Role You'll own the end-to-end data and AI capability - from platform architecture through to production ML systems - ensuring data and AI are applied thoughtfully, responsibly, and with clear business impact. What You'll Do Design and evolve a secure, scalable data & AI platform with Snowflake at its core Build production-grade data pipelines, models, and data products for analytics and AI use cases Design, train, and deploy ML models, embeddings, and vector stores to enable AI-driven experiences Lead and mentor a small, high-impact team of data and analytics engineers Partner closely with Product, Engineering, and Infrastructure teams Set standards for data quality, governance, security, and performance Act as a trusted technical advisor to the CTO and senior leadership What We're Looking For Essential Expert-level Snowflake experience (modelling, optimisation, advanced features) Strong Python skills across data engineering, ML, and AI development Proven experience delivering production ML systems Hands-on experience with embeddings, vector databases, and LLM-driven systems Deep understanding of modern data engineering practices (ELT, orchestration, versioning) Nice to Have Background in data science or applied ML Experience building AI agents or intelligent automation Familiarity with cloud-native architectures and MLOps
Feb 28, 2026
Full time
Lead Data Engineer/Head of Data Permanent On behalf of a fantstic cleint we are resourcing for the following role This is a senior, hands-on technical leadership role reporting directly to the CTO. You'll shape and deliver a modern data and AI platform, lead a small team of data and analytics engineers, and embed machine learning, AI agents, and advanced analytics into real customer workflows. The Role You'll own the end-to-end data and AI capability - from platform architecture through to production ML systems - ensuring data and AI are applied thoughtfully, responsibly, and with clear business impact. What You'll Do Design and evolve a secure, scalable data & AI platform with Snowflake at its core Build production-grade data pipelines, models, and data products for analytics and AI use cases Design, train, and deploy ML models, embeddings, and vector stores to enable AI-driven experiences Lead and mentor a small, high-impact team of data and analytics engineers Partner closely with Product, Engineering, and Infrastructure teams Set standards for data quality, governance, security, and performance Act as a trusted technical advisor to the CTO and senior leadership What We're Looking For Essential Expert-level Snowflake experience (modelling, optimisation, advanced features) Strong Python skills across data engineering, ML, and AI development Proven experience delivering production ML systems Hands-on experience with embeddings, vector databases, and LLM-driven systems Deep understanding of modern data engineering practices (ELT, orchestration, versioning) Nice to Have Background in data science or applied ML Experience building AI agents or intelligent automation Familiarity with cloud-native architectures and MLOps
