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Salary: c. £90,000 + Car Allowance + Bonus Location: Midlands / Hybrid (2-3 days in office) Our client is seeking an experienced Reward & Benefits Manager to lead the delivery of reward, remuneration and benefits programmes across a complex organisation. Reporting to the Head of People Services, this role will play a key part in ensuring reward strategies support business performance, talent attraction and retention, and an excellent employee experience. • Lead the annual reward cycle, including salary reviews, bonus schemes and benchmarking., • Provide expert reward and benefits advice to senior stakeholders., • Manage reward governance, pay reporting and compliance activities., • Oversee pensions and employee benefits programmes., • Deliver reward analytics and market insights to support business decisions., • Manage external providers, including benefits platforms and insurers., • Support organisational change projects, acquisitions and integrations., • Drive continuous improvement across reward processes, systems and policies. The successful candidate will bring: • Significant experience within reward and benefits in a large, complex organisation., • Strong knowledge of compensation, benefits, benchmarking and reward governance., • Experience managing executive and employee reward programmes., • Excellent analytical and stakeholder management skills., • The ability to influence and advise senior leaders with credibility and confidence., • Strong understanding of UK reward legislation and compliance requirements. This is an excellent opportunity to join a well-established, values-led organisation and play a key role in shaping and delivering its reward strategy. #J-18808-Ljbffr

2026-10-06T00:00:00 Loughborough Leicestershire GB LE11 2 Any 2027-01-05T03:00:43.473 Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact., • Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences., • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions., • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads., • Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability., • Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem., • Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement., • You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision., • You have extensive experience designing, building, and operating large-scale cloud-native data platforms., • You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools., • You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices., • You know how to balance immediate business needs with long-term architectural sustainability., • You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone., • You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership., • You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback., • You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we re here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: #J-18808-Ljbffr

BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050. What's the role? The Data Engineer, working within the Group IT Data & AI team, is responsible for building, maintaining and optimising reliable data pipelines and data platforms that make accurate, governed data available across BRUSH Group. Working with business and technical stakeholders, the Data Engineer will connect source systems, transform and structure data through the medallion architecture, and deliver trusted data products within Microsoft Fabric. This is a hands-on delivery role owning the data platform, combining strong data engineering expertise with a focus on security, quality, documentation and continuous improvement, • + Design, build, test and maintain reliable data pipelines that ingest data from ERP, operational and third-party systems., • + Develop and maintain the Microsoft Fabric data platform using appropriate lakehouse/warehouse, pipeline and transformation capabilities., • + Implement processes to ensure data is accurate, complete and timely., • + Apply data governance, naming, metadata, retention and classification standards across the platform., • + Translate business and reporting requirements into scalable technical designs and well-defined data products., • + Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases., • + Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency., • + Evaluate new Microsoft Fabric capabilities and recommend adoption where they provide demonstrable business value., • + Degree or equivalent professional experience in data engineering, computer science, software engineering, mathematics or another relevant technical discipline., • + Evidence of continued professional development in modern data engineering, cloud data platforms and development practices., • + Microsoft certification, such as Fabric Analytics Engineer Associate, Azure Data Engineer Associate or an equivalent cloud data qualification. (desirable), • + Strong SQL skills, including querying, transformation, optimisation and troubleshooting across complex datasets., • + Practical knowledge of Microsoft Fabric, including Data Factory pipelines, Lakehouse, Warehouse, OneLake and notebooks., • + Ability to design scalable data models and apply medallion architecture, dimensional modelling and reusable data-product principles., • + Experience developing and maintaining a cloud-based lakehouse or data warehouse; Microsoft Fabric is strongly preferred., • + Experience implementing data quality, monitoring, reconciliation, metadata, lineage and role-based access controls., • + Experience translating business requirements into technical solutions and working with analysts, developers, data owners and stakeholders., • + Experience supporting Power BI, analytics or AI use cases and helping a growing data function establish engineering standards. BRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award-winning product technology, to a wide range of projects. A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid-resilience and drive system change, we support the global drive to net-zero, helping create a future-proof Infrastructure. • + Competitive salary + Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles), • + Flexible and Hybrid working options (role dependant), • + Life insurance - 4 x annual salary, • + Enhanced Company Pension scheme, • + 24/7 free and confidential Employee Assistance Programme, • + GP24 Service - Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions., • + BRUSHRewards - Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself., • + Family friendly policies including Enhanced Maternity/Paternity, • + Bike2work scheme, • + Long Service Awards, • + Developing our people is important to us - we support and encourage development by offering ongoing professional development and training. #J-18808-Ljbffr

BRUSH Group in the United Kingdom is seeking a Data Scientist to transform data into clear, trusted insights. You will design, develop and deploy BI, advanced analytics, ML models and AI-driven solutions in collaboration with stakeholders across the business. This hands-on role combines statistical and data science expertise with strong commercial curiosity. You will own selected use cases end-to-end—from problem definition and data exploration to model deployment, monitoring and continuous #J-18808-Ljbffr

BRUSH Group is seeking a Data Scientist to join the Group IT Data & AI team. You will transform data into clear, trusted insights, design and deploy BI, analytics, ML models and AI-driven solutions across the business. The role combines statistics, data science and business acumen. You’ll own use cases end-to-end, from problem framing to deployment, monitoring and value demonstration, shaping data science standards across the group. #J-18808-Ljbffr

Spotify is building a foundational data platform to understand subscriber behavior for 200M+ Premium users. We seek a Staff Data Engineer to define the long-term data ecosystem, drive scalable batch/streaming platforms, and influence multiple squads across analytics, experimentation, and ML. You will mentor engineers, establish data quality and governance practices, and collaborate with product, data science, and platform teams to enable growth to one billion users while balancing cost and #J-18808-Ljbffr

BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050. Location: Loughborough Department: IT Vacancy type: Permanent The Data Engineer, working within the Group IT Data & AI team, is responsible for building, maintaining and optimising reliable data pipelines and data platforms that make accurate, governed data available across BRUSH Group. Working with business and technical stakeholders, the Data Engineer will connect source systems, transform and structure data through the medallion architecture, and deliver trusted data products within Microsoft Fabric. This is a hands-on delivery role owning the data platform, combining strong data engineering expertise with a focus on security, quality, documentation and continuous improvement. • Design, build, test and maintain reliable data pipelines that ingest data from ERP, operational and third-party systems., • Develop and maintain the Microsoft Fabric data platform using appropriate lakehouse/warehouse, pipeline and transformation capabilities., • Implement processes to ensure data is accurate, complete and timely., • Apply data governance, naming, metadata, retention and classification standards across the platform., • Translate business and reporting requirements into scalable technical designs and well-defined data products., • Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases., • Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency., • Evaluate new Microsoft Fabric capabilities and recommend adoption where they provide demonstrable business value., • Degree or equivalent professional experience in data engineering, computer science, software engineering, mathematics or another relevant technical discipline., • Evidence of continued professional development in modern data engineering, cloud data platforms and development practices., • Microsoft certification, such as Fabric Analytics Engineer Associate, Azure Data Engineer Associate or an equivalent cloud data qualification. (desirable), • Strong SQL skills, including querying, transformation, optimisation and troubleshooting across complex datasets., • Practical knowledge of Microsoft Fabric, including Data Factory pipelines, Lakehouse, Warehouse, OneLake and notebooks., • Ability to design scalable data models and apply medallion architecture, dimensional modelling and reusable data-product principles., • Experience developing and maintaining a cloud-based lakehouse or data warehouse; Microsoft Fabric is strongly preferred., • Experience implementing data quality, monitoring, reconciliation, metadata, lineage and role-based access controls., • Experience translating business requirements into technical solutions and working with analysts, developers, data owners and stakeholders., • Experience supporting Power BI, analytics or AI use cases and helping a growing data function establish engineering standards., • Competitive salary, • Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles), • Flexible and Hybrid working options (role dependant), • Life insurance – 4 x annual salary, • Enhanced Company Pension scheme, • 24/7 free and confidential Employee Assistance Programme, • GP24 Service – Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions., • BRUSHRewards – Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself., • Family friendly policies including Enhanced Maternity/Paternity, • Bike2work scheme, • Long Service Awards, • Developing our people is important to us - we support and encourage development by offering ongoing professional development and training. BRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award-winning product technology, to a wide range of projects. A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid-resilience and drive system change, we support the global drive to net-zero, helping create a future-proof Infrastructure. #J-18808-Ljbffr

BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050. The Data Engineer, working within the Group IT Data & AI team, is responsible for building, maintaining and optimising reliable data pipelines and data platforms that make accurate, governed data available across BRUSH Group. Working with business and technical stakeholders, the Data Engineer will connect source systems, transform and structure data through the medallion architecture, and deliver trusted data products within Microsoft Fabric. This is a hands‑on delivery role owning the data platform, combining strong data engineering expertise with a focus on security, quality, documentation and continuous improvement. • Design, build, test and maintain reliable data pipelines that ingest data from ERP, operational and third‑party systems., • Develop and maintain the Microsoft Fabric data platform using appropriate lakehouse/warehouse, pipeline and transformation capabilities., • Implement processes to ensure data is accurate, complete and timely., • Apply data governance, naming, metadata, retention and classification standards across the platform., • Translate business and reporting requirements into scalable technical designs and well‑defined data products., • Provide trusted Gold‑layer datasets and semantic‑ready structures for BI, ML and AI use cases., • Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency., • Evaluate new Microsoft Fabric capabilities and recommend adoption where they provide demonstrable business value., • Degree or equivalent professional experience in data engineering, computer science, software engineering, mathematics or another relevant technical discipline., • Evidence of continued professional development in modern data engineering, cloud data platforms and development practices., • Microsoft certification, such as Fabric Analytics Engineer Associate, Azure Data Engineer Associate or an equivalent cloud data qualification. (desirable), • Strong SQL skills, including querying, transformation, optimisation and troubleshooting across complex datasets., • Practical knowledge of Microsoft Fabric, including Data Factory pipelines, Lakehouse, Warehouse, OneLake and notebooks., • Ability to design scalable data models and apply medallion architecture, dimensional modelling and reusable data‑product principles., • Experience developing and maintaining a cloud‑based lakehouse or data warehouse; Microsoft Fabric is strongly preferred., • Experience implementing data quality, monitoring, reconciliation, metadata, lineage and role‑based access controls., • Experience translating business requirements into technical solutions and working with analysts, developers, data owners and stakeholders., • Experience supporting Power BI, analytics or AI use cases and helping a growing data function establish engineering standards., • Competitive salary, • Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles), • Flexible and Hybrid working options (role dependant), • Life insurance – 4 x annual salary, • Enhanced Company Pension scheme, • 24/7 free and confidential Employee Assistance Programme, • GP24 Service – Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions., • BRUSHRewards – Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself., • Family friendly policies including Enhanced Maternity/Paternity, • Bike2work scheme, • Long Service Awards, • Developing our people is important to us - we support and encourage development by offering ongoing professional development and training. BRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award-winning product technology, to a wide range of projects. A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid-resilience and drive system change, we support the global drive to net-zero, helping create a future-proof Infrastru #J-18808-Ljbffr

Why choose us? BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050. The Data Engineer, working within the Group IT Data & AI team, is responsible for building, maintaining and optimising reliable data pipelines and data platforms that make accurate, governed data available across BRUSH Group. Working with business and technical stakeholders, the Data Engineer will connect source systems, transform and structure data through the medallion architecture, and deliver trusted data products within Microsoft Fabric. This is a hands-on delivery role owning the data platform, combining strong data engineering expertise with a focus on security, quality, documentation and continuous improvement • Design, build, test and maintain reliable data pipelines that ingest data from ERP, operational and third-party systems., • Develop and maintain the Microsoft Fabric data platform using appropriate lakehouse/warehouse, pipeline and transformation capabilities., • Implement processes to ensure data is accurate, complete and timely., • Apply data governance, naming, metadata, retention and classification standards across the platform., • Translate business and reporting requirements into scalable technical designs and well-defined data products., • Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases., • Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency., • Evaluate new Microsoft Fabric capabilities and recommend adoption where they provide demonstrable business value., • Degree or equivalent professional experience in data engineering, computer science, software engineering, mathematics or another relevant technical discipline., • Evidence of continued professional development in modern data engineering, cloud data platforms and development practices., • Microsoft certification, such as Fabric Analytics Engineer Associate, Azure Data Engineer Associate or an equivalent cloud data qualification. (desirable), • Strong SQL skills, including querying, transformation, optimisation and troubleshooting across complex datasets., • Practical knowledge of Microsoft Fabric, including Data Factory pipelines, Lakehouse, Warehouse, OneLake and notebooks., • Ability to design scalable data models and apply medallion architecture, dimensional modelling and reusable data-product principles., • Experience developing and maintaining a cloud-based lakehouse or data warehouse; Microsoft Fabric is strongly preferred., • Experience implementing data quality, monitoring, reconciliation, metadata, lineage and role-based access controls., • Experience translating business requirements into technical solutions and working with analysts, developers, data owners and stakeholders., • Experience supporting Power BI, analytics or AI use cases and helping a growing data function establish engineering standards., • Competitive salary, • Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles), • Flexible and Hybrid working options (role dependant), • Life insurance - 4 x annual salary, • Enhanced Company Pension scheme, • 24/7 free and confidential Employee Assistance Programme, • GP24 Service - Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions., • BRUSHRewards - Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself., • Family friendly policies including Enhanced Maternity/Paternity, • Bike2work scheme, • Long Service Awards, • Developing our people is important to us - we support and encourage development by offering ongoing professional development and training. BRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award-winning product technology, to a wide range of projects. A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid-resilience and drive system change, we support the global drive to net-zero, helping create a future-proof Infrastructure. #J-18808-Ljbffr

BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050. The Data Scientist, working within the Group IT Data & AI team, is responsible for transforming data into clear, trusted and actionable insights. Working with stakeholders across the business, the Data Scientist will design, develop and deploy BI, advanced analytics, ML models and AI driven solutions. This is a hands‑on, outcome-focused role combining statistical, data science and analytical expertise with strong commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle—from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement and will be accountable for demonstrating measurable operational or commercial value. The role will also influence technical and governance standards and help shape how data science and AI are adopted across the Group. • Translate business challenges into BI, analytical, statistical and Machine Learning solutions., • Identify patterns, trends and opportunities within complex datasets to support strategic and operational decision making., • Develop, validate and deploy predictive models, forecasting models and AI solutions that deliver measurable business value. Evaluate model effectiveness and monitoring model drift., • Develop and maintain governed, trusted datasets for BI/analytics and data science use cases., • Ensure appropriate data quality, lineage and governance controls are considered throughout the analytical lifecycle., • Work closely with Data Engineers to ensure data pipelines and analytical datasets meet reporting/BI and modelling requirements., • Contribute to the design and optimisation of data models that support analytics and Machine Learning., • Support the preparation, cleansing, transformation and feature engineering of data for analytical and AI use cases., • Identify opportunities to improve efficiency, automation and decision making through advanced analytics and AI, • Degree in Data Science or a related numerate discipline, or equivalent experience., • Evidence of continued professional development in BI, data science, advanced analytics, ML, AI., • Strong understanding of statistical methods, experimental techniques, and ML principles., • Advanced data science and analytical capability, with the judgement to turn complex business challenges into robust approaches and measurable outcomes., • Strong practical capability in Python and SQL across data exploration, feature engineering, modelling and validation, with experience of Spark and modern cloud data platforms., • Expertise in statistical analysis, forecasting, predictive modelling, classification, clustering and optimisation, including developing and deploying production machine-learning solutions., • Experience helping a growing data function establish technical standards, governance, best practices and effective ways of working., • Proven success in a Data Scientist or comparable advanced analytics role, delivering measurable operational or commercial value., • Substantial end-to-end experience defining, building, deploying and monitoring machine-learning and advanced analytics solutions in production or operational environments., • Competitive salary, • Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles), • Flexible and Hybrid working options (role dependant)Life insurance – 4 x annual salary, • Enhanced Company Pension scheme, • 24/7 free and confidential Employee Assistance Programme, • GP24 Service – Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions., • BRUSHRewards – Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself., • Family friendly policies including Enhanced Maternity/Paternity, • Bike2work scheme, • Long Service Awards, • Developing our people is important to us - we support and encourage development by offering ongoing professional development and training. BRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award‑winning product technology, to a wide range of projects. A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid‑resilience and drive system change, we support the global drive to net‑zero, helping create a future‑proof Infrastructure. #J-18808-Ljbffr

BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the BRUSH brand has stood for engineering excellence. We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050. The Data Scientist, working within the Group IT Data & AI team, is responsible for transforming data into clear, trusted and actionable insights. Working with stakeholders across the business, the Data Scientist will design, develop and deploy BI, advanced analytics, ML models and AI driven solutions. This is a hands-on, outcome-focused role combining statistical, data science and analytical expertise with strong commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle-from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement-and will be accountable for demonstrating measurable operational or commercial value. The role will also influence technical and governance standards and help shape how data science and AI are adopted across the Group. • + Translate business challenges into BI, analytical, statistical and Machine Learning solutions., • + Identify patterns, trends and opportunities within complex datasets to support strategic and operational decision making., • + Develop, validate and deploy predictive models, forecasting models and AI solutions that deliver measurable business value. Evaluate model effectiveness and monitor model drift., • + Develop and maintain governed, trusted datasets for BI/analytics and data science use cases., • + Ensure appropriate data quality, lineage and governance controls are considered throughout the analytical lifecycle., • + Work closely with Data Engineers to ensure data pipelines and analytical datasets meet reporting/BI and modelling requirements., • + Contribute to the design and optimisation of data models that support analytics and Machine Learning., • + Support the preparation, cleansing, transformation and feature engineering of data for analytical and AI use cases., • + Identify opportunities to improve efficiency, automation and decision making through advanced analytics and AI, • + Degree in Data Science or a related numerate discipline, or equivalent experience., • + Evidence of continued professional development in BI, data science, advanced analytics, ML, AI., • + Strong understanding of statistical methods, experimental techniques, and ML principles., • + Advanced data science and analytical capability, with the judgement to turn complex business challenges into robust approaches and measurable outcomes., • + Strong practical capability in Python and SQL across data exploration, feature engineering, modelling and validation, with experience of Spark and modern cloud data platforms., • + Expertise in statistical analysis, forecasting, predictive modelling, classification, clustering and optimisation, including developing and deploying production machine-learning solutions., • + Experience helping a growing data function establish technical standards, governance, best practices and effective ways of working., • + Proven success in a Data Scientist or comparable advanced analytics role, delivering measurable operational or commercial value., • + Substantial end-to-end experience defining, building, deploying and monitoring machine-learning and advanced analytics solutions in production or operational environments. BRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award-winning product technology, to a wide range of projects. A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid-resilience and drive system change, we support the global drive to net-zero, helping create a future-proof Infrastructure. • + Competitive salary, • + Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles), • + Flexible and Hybrid working options (role dependant), • + Life insurance - 4 x annual salary, • + Enhanced Company Pension scheme, • + 24/7 free and confidential Employee Assistance Programme, • + GP24 Service - Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions., • + BRUSHRewards - Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself., • + Family friendly policies including Enhanced Maternity/Paternity, • + Bike2work scheme, • + Long Service Awards, • + Developing our people is important to us - we support and encourage development by offering ongoing professional development and training. #J-18808-Ljbffr

At Winbro, we are at the heart of the green hydrogen revolution enabling production of next generation fuel cells with our ultra fast laser drilling and welding technologies. Our equipment is capable of producing highly complex micro parts to micron level accuracies, creating a revolution in personalised drug delivery and medical care. Our technology is capable of producing highly complex semiconductor parts, enabling next level efficiencies in electronics manufacturing. JOIN US and we can offer you an opportunity to work in a high-tech, specialist company working with some of the best global names in aerospace, medical, semiconductor and clean energy. We are looking for an experienced Head of Finance to lead the finance team as we continue our exciting journey of growth and transformation. Having recently implemented a new ERP, Microsoft D365 F&O, we now need to develop our processes and reporting to deliver a best-in-class service and provision of key management information to our Business Partners. Overseeing the usual responsibilities such as monthly management accounts, preparing annual budgeting and monthly forecasting etc are a given, however where this role will make a real difference, is in the continued development of the finance function, seeking out efficiencies in our processes and delivering a 1st class reporting and analytics solution using recently acquired software. As the existing VP of Finance's own role expands, this person also needs to find the right blend of self-sufficiency and ensuring the VP is kept informed and up to date with key information. • Manage and develop the finance team, fostering a culture of accountability and excellence., • Implementation of best practice reporting and analytical tools., • Providing financial guidance and insight to fellow senior managers., • Ensuring standardisation and alignment of financial processes across 3 regions., • Oversee group budgeting and forecasting processes., • Identify opportunities for cost optimisation, margin improvement and operational efficiencies., • Maintaining robust financial controls across 3 regions., • Qualified finance professional with experience of operating in a manufacturing environment with complex stock movements., • Proven experience in a senior finance leadership role ideally within a multi-site or group structure., • Strong leadership and people management capabilities., • Experience of consolidation and international accounting., • Working knowledge of Microsoft D365 F&O would be a distinct advantage. What we can offer you • A competitive salary, • Flexible start and finish time, • Equivalent 25 days holiday #J-18808-Ljbffr

Go Fractional is seeking an experienced Head of Finance to lead the finance team as we grow. After implementing Microsoft D365 F&O, you will develop processes, reporting, and critical management information for business partners. You will oversee monthly management accounts, budgeting, forecasting, financial controls across three regions, identify cost efficiencies, and drive best-practice analytics. Strong leadership and multi-site consolidation experience is essential. #J-18808-Ljbffr

We are looking for an experienced Head of Finance to lead the finance team as we continue our exciting journey of growth and transformation. Having recently implemented a new ERP, Microsoft D365 F&O, we now need to develop our processes and reporting to deliver a best-in-class service and provision of key management information to our Business Partners. Overseeing the usual responsibilities such as monthly management accounts, preparing annual budgeting and monthly forecasting etc are a given, however where this role will make a real difference, is in the continued development of the finance function, seeking out efficiencies in our processes and delivering a 1st class reporting and analytics solution using recently acquired software. As the existing VP of Finance's own role expands, this person also needs to find the right blend of self-sufficiency and ensuring the VP is kept informed and up to date with key information. • Manage and develop the finance team, fostering a culture of accountability and excellence., • Implementation of best practice reporting and analytical tools., • Providing financial guidance and insight to fellow senior managers., • Ensuring standardisation and alignment of financial processes across 3 regions., • Oversee group budgeting and forecasting processes., • Identify opportunities for cost optimisation, margin improvement and operational efficiencies., • Maintaining robust financial controls across 3 regions., • Qualified finance professional with experience of operating in a manufacturing environment with complex stock movements., • Proven experience in a senior finance leadership role ideally within a multi-site or group structure., • Strong leadership and people management capabilities., • Experience of consolidation and international accounting., • Working knowledge of Microsoft D365 F&O would be a distinct advantage. What we can offer you • A competitive salary, • Flexible start and finish time, • Equivalent 25 days holiday #J-18808-Ljbffr

At Winbro, we are at the heart of the green hydrogen revolution enabling production of next generation fuel cells with our ultra fast laser drilling and welding technologies. Our equipment is capable of producing highly complex micro parts to micron level accuracies, creating a revolution in personalised drug delivery and medical care. Our technology is capable of producing highly complex semiconductor parts, enabling next level efficiencies in electronics manufacturing. JOIN US and we can offer you an opportunity to work in a high-tech, specialist company working with some of the best global names in aerospace, medical, semiconductor and clean energy. We are looking for an experienced Head of Finance to lead the finance team as we continue our exciting journey of growth and transformation. Having recently implemented a new ERP, Microsoft D365 F&O, we now need to develop our processes and reporting to deliver a best-in-class service and provision of key management information to our Business Partners. Overseeing the usual responsibilities such as monthly management accounts, preparing annual budgeting and monthly forecasting etc are a given, however where this role will make a real difference, is in the continued development of the finance function, seeking out efficiencies in our processes and delivering a 1st class reporting and analytics solution using recently acquired software. As the existing VP of Finance's own role expands, this person also needs to find the right blend of self-sufficiency and ensuring the VP is kept informed and up to date with key information. • Manage and develop the finance team, fostering a culture of accountability and excellence., • Implementation of best practice reporting and analytical tools., • Providing financial guidance and insight to fellow senior managers., • Ensuring standardisation and alignment of financial processes across 3 regions., • Oversee group budgeting and forecasting processes., • Identify opportunities for cost optimisation, margin improvement and operational efficiencies., • Maintaining robust financial controls across 3 regions., • Qualified finance professional with experience of operating in a manufacturing environment with complex stock movements., • Proven experience in a senior finance leadership role ideally within a multi-site or group structure., • Strong leadership and people management capabilities., • Experience of consolidation and international accounting., • Working knowledge of Microsoft D365 F&O would be a distinct advantage., • A competitive salary, • Flexible start and finish time, • Equivalent 25 days holiday #J-18808-Ljbffr

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