Key Responsibilities Strategic Leadership & Partnership Align digital strategies with business objectives across Finance and Procurement. Collaborate with Finance and Procurement stakeholders to shape and deliver transformation initiatives. Translate business needs into actionable technology strategies. Finance Transformation Lead reengineering of core finance processes including Source to Pay (S2P), Record to Analyse (Close and Control), Tax Operations, and General Finance Operations. Implement scalable, cost effective solutions using agent based ecosystems to reduce service costs by up to 50%. Define clear roadmaps and execution plans for digital initiatives. Procurement Technology Leadership Oversee all Procurement Tech products and services, including SAP Ariba (Spend Analytics, Sourcing, Contract Management, Guided Buying), Jaggaer, SAP Concur T&E, SAP Fieldglass, and ECC Procurement. Lead patching, upgrades, and ensure system currency without disrupting operations. Manage vendor relationships and ensure service delivery meets contractual obligations. Technology Innovation Architect next generation solutions that support dynamic business needs. Design and implement self learning agents for cross process optimization. Integrate AI solutions with existing ERP and financial platforms. Operational Excellence Provide L3 support and manage major incidents, including SWAT calls. Run AARs and ensure implementation of outcomes. Lead cross product agile teams and manage backlogs for multiproduct assets. Performance & Continuous Improvement Define and monitor KPIs to assess digital solution effectiveness. Establish feedback loops and reinforcement learning mechanisms. Foster a culture of innovation and continuous improvement. Required Qualifications University degree or equivalent. Director level of experience in finance and procurement transformations. Proven delivery across at least three core finance processes. Deep expertise in AI, automation, and ERP integration. Extensive experience with SAP Ariba, Concur, Fieldglass, and Cloud Integration Gateway. Strong leadership and stakeholder engagement skills in a matrixed global environment. Experience in agile and product management methodologies. Vendor management experience (MSPs). Preferred Qualifications SAP certification in Procurement Tech product areas. Strong project and program planning skills. Ability to lead cross cultural, virtual teams. Excellent problem solving and communication skills. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. If you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at where you can also request a call.
Feb 25, 2026
Full time
Key Responsibilities Strategic Leadership & Partnership Align digital strategies with business objectives across Finance and Procurement. Collaborate with Finance and Procurement stakeholders to shape and deliver transformation initiatives. Translate business needs into actionable technology strategies. Finance Transformation Lead reengineering of core finance processes including Source to Pay (S2P), Record to Analyse (Close and Control), Tax Operations, and General Finance Operations. Implement scalable, cost effective solutions using agent based ecosystems to reduce service costs by up to 50%. Define clear roadmaps and execution plans for digital initiatives. Procurement Technology Leadership Oversee all Procurement Tech products and services, including SAP Ariba (Spend Analytics, Sourcing, Contract Management, Guided Buying), Jaggaer, SAP Concur T&E, SAP Fieldglass, and ECC Procurement. Lead patching, upgrades, and ensure system currency without disrupting operations. Manage vendor relationships and ensure service delivery meets contractual obligations. Technology Innovation Architect next generation solutions that support dynamic business needs. Design and implement self learning agents for cross process optimization. Integrate AI solutions with existing ERP and financial platforms. Operational Excellence Provide L3 support and manage major incidents, including SWAT calls. Run AARs and ensure implementation of outcomes. Lead cross product agile teams and manage backlogs for multiproduct assets. Performance & Continuous Improvement Define and monitor KPIs to assess digital solution effectiveness. Establish feedback loops and reinforcement learning mechanisms. Foster a culture of innovation and continuous improvement. Required Qualifications University degree or equivalent. Director level of experience in finance and procurement transformations. Proven delivery across at least three core finance processes. Deep expertise in AI, automation, and ERP integration. Extensive experience with SAP Ariba, Concur, Fieldglass, and Cloud Integration Gateway. Strong leadership and stakeholder engagement skills in a matrixed global environment. Experience in agile and product management methodologies. Vendor management experience (MSPs). Preferred Qualifications SAP certification in Procurement Tech product areas. Strong project and program planning skills. Ability to lead cross cultural, virtual teams. Excellent problem solving and communication skills. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. If you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at where you can also request a call.
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Feb 25, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Feb 25, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Head of Finance Operations (Process, Efficiency & Control) Are you a finance operations leader who believes automation, data and strong people leadership can transform how finance delivers value - and excited by the opportunity to lead that change at scale? About us The Science Museum Group (SMG) is an exciting organisation at the boundary of the private, public and charitable sectors, with a fascinating variety of financial requirements. We run the world's largest group of science museums and look after a collection of more than 7 million objects, igniting curiosity and revealing wonder to our visitors and colleagues. We are an ambitious group, with major programmes of development across our museums, including the recently completed refurbishment of Manchester's Power Hall and the upcoming construction of an entirely new Central Hall in York, as well as a continuing series of temporary exhibitions and learning activities for children and adults. About the role As a Head of Finance Operations, you will be accountable for leading our finance operations team to provide greater process transparency, improved process performance and control, reduced error rates, better stakeholder alignment and efficient change management processes. The financial process families that you and your team will oversee are source to pay, order to cash, acquire to retire, payroll and other finance processes. You will also be a key enabler of the successful transformation of these key processes, owning the implementation of end-to-end process improvement and standardisation. The role is based at the Science and Industry Museum in Manchester and requires on site work at least two days a week - at a site of global importance in the history of science, technology and engineering, including the world's first commercial passenger railway station - and occasional travel to other locations in the group. You will manage a team of six permanent FTEs and two temporary roles (three direct reports), coaching them for success and development. You will join a well-established, group-wide function and complete a finance leadership team that also includes two Heads of Finance Business Partnering (for capital projects and operational activities - one London and one Manchester based), a Head of Finance Reporting, Change & Improvement (Manchester) and a Head of Financial Technology & Data Analytics (London). The two Manchester based roles will support you in establishing a strong finance team presence at the site. This is a great role to step into at a time of real momentum and change within the organisation. Please refer to the attached Vacancy Information Pack for further detail on the role, including the context behind its creation and what success will look like in post. We have also included an infographic outlining the team structure to help you understand how this role fits within the wider finance function. About you We're keen to see applications from candidates who are qualified finance professionals (ACA, ACCA, CIMA or equivalent) and who believe finance operations should be highly automated, data-driven and strategically influential. You will see functions such as AP, AR, payroll and cash management as critical drivers of organisational performance, not simply transaction processing. We would welcome applications from experienced people leaders who enjoy coaching teams through change, setting clear expectations and developing capability for a more digital future. We're particularly interested in candidates with experience leading operational transformation and delivering measurable improvements through automation, systems optimisation and data analytics. You will bring a practical technology mindset, understanding how systems, integrations and data flow support efficient, accurate finance processes. You will combine this digital ambition with solid technical finance knowledge, risk and control awareness, and excellent attention to detail, enabling you to identify process weaknesses and improve both efficiency and governance across end-to-end finance operations. As this is a role that will deliver significant change, we're also looking for candidates with demonstrated change leadership, resilience and clear, persuasive communication and influencing skills. You will be comfortable building stakeholder buy-in, negotiating effectively and driving behavioural change across complex organisations. Above all, we're looking for someone committed to what finance operations can become - and motivated to deliver meaningful, lasting improvement within a collaborative and inclusive organisation. Don't feel you meet all the criteria? We welcome an application even if your experience doesn't match directly. With your transferable skills, you could be the right candidate for this, or other opportunities that we have. Applying View the Vacancy Information Pack listed under 'Attachments' on the vacancy listing on our website for more details about the role and the application process or click 'Apply Online' to submit an application. What we offer Working with a world-leading museum group that offers access to truly unique environments and collections, you'll benefit from the perks listed below, as well as full support for life events such as parental and adoption leave, sickness, and career breaks. Meaningful work. We're a mission-led organisation where the work you do supports us in Inspiring Futures. Career growth. We offer enhanced support with personal and professional development. Work/life balance. We offer 27 days annual leave in addition to bank holidays, along with flexible policies which support you and your home life. Health & Dental Insurance. Extra peace of mind, from day one. All our colleagues can access an employee assistance programme, access to the Unmind app, and other wellbeing support. Colleague networks. Our colleague-led networks are an informal forum for colleagues to come together to discuss topics of shared interest and lived experience. They create a space for people to exchange ideas, discuss best practice, socialise and build a sense of community. Enhanced contributory pension. To support you in saving for the future. Interest-free loans. When you need a little extra cash for life events or home improvements. Great discounts. Free entry to exhibitions, discounts in our shops, cafes, and access to other museums in the NMDC network. Open for All is one of the Science Museum Group's five core values and sets out our important aspiration to be a place for everyone. We are working hard to understand our organisation better and to develop a culture that recognises and values different backgrounds, mindsets, skills, experience, knowledge, and expertise. By having greater diversity, we believe that we will be a stronger and better organisation, capable to continue to Inspire Futures.
Feb 25, 2026
Full time
Head of Finance Operations (Process, Efficiency & Control) Are you a finance operations leader who believes automation, data and strong people leadership can transform how finance delivers value - and excited by the opportunity to lead that change at scale? About us The Science Museum Group (SMG) is an exciting organisation at the boundary of the private, public and charitable sectors, with a fascinating variety of financial requirements. We run the world's largest group of science museums and look after a collection of more than 7 million objects, igniting curiosity and revealing wonder to our visitors and colleagues. We are an ambitious group, with major programmes of development across our museums, including the recently completed refurbishment of Manchester's Power Hall and the upcoming construction of an entirely new Central Hall in York, as well as a continuing series of temporary exhibitions and learning activities for children and adults. About the role As a Head of Finance Operations, you will be accountable for leading our finance operations team to provide greater process transparency, improved process performance and control, reduced error rates, better stakeholder alignment and efficient change management processes. The financial process families that you and your team will oversee are source to pay, order to cash, acquire to retire, payroll and other finance processes. You will also be a key enabler of the successful transformation of these key processes, owning the implementation of end-to-end process improvement and standardisation. The role is based at the Science and Industry Museum in Manchester and requires on site work at least two days a week - at a site of global importance in the history of science, technology and engineering, including the world's first commercial passenger railway station - and occasional travel to other locations in the group. You will manage a team of six permanent FTEs and two temporary roles (three direct reports), coaching them for success and development. You will join a well-established, group-wide function and complete a finance leadership team that also includes two Heads of Finance Business Partnering (for capital projects and operational activities - one London and one Manchester based), a Head of Finance Reporting, Change & Improvement (Manchester) and a Head of Financial Technology & Data Analytics (London). The two Manchester based roles will support you in establishing a strong finance team presence at the site. This is a great role to step into at a time of real momentum and change within the organisation. Please refer to the attached Vacancy Information Pack for further detail on the role, including the context behind its creation and what success will look like in post. We have also included an infographic outlining the team structure to help you understand how this role fits within the wider finance function. About you We're keen to see applications from candidates who are qualified finance professionals (ACA, ACCA, CIMA or equivalent) and who believe finance operations should be highly automated, data-driven and strategically influential. You will see functions such as AP, AR, payroll and cash management as critical drivers of organisational performance, not simply transaction processing. We would welcome applications from experienced people leaders who enjoy coaching teams through change, setting clear expectations and developing capability for a more digital future. We're particularly interested in candidates with experience leading operational transformation and delivering measurable improvements through automation, systems optimisation and data analytics. You will bring a practical technology mindset, understanding how systems, integrations and data flow support efficient, accurate finance processes. You will combine this digital ambition with solid technical finance knowledge, risk and control awareness, and excellent attention to detail, enabling you to identify process weaknesses and improve both efficiency and governance across end-to-end finance operations. As this is a role that will deliver significant change, we're also looking for candidates with demonstrated change leadership, resilience and clear, persuasive communication and influencing skills. You will be comfortable building stakeholder buy-in, negotiating effectively and driving behavioural change across complex organisations. Above all, we're looking for someone committed to what finance operations can become - and motivated to deliver meaningful, lasting improvement within a collaborative and inclusive organisation. Don't feel you meet all the criteria? We welcome an application even if your experience doesn't match directly. With your transferable skills, you could be the right candidate for this, or other opportunities that we have. Applying View the Vacancy Information Pack listed under 'Attachments' on the vacancy listing on our website for more details about the role and the application process or click 'Apply Online' to submit an application. What we offer Working with a world-leading museum group that offers access to truly unique environments and collections, you'll benefit from the perks listed below, as well as full support for life events such as parental and adoption leave, sickness, and career breaks. Meaningful work. We're a mission-led organisation where the work you do supports us in Inspiring Futures. Career growth. We offer enhanced support with personal and professional development. Work/life balance. We offer 27 days annual leave in addition to bank holidays, along with flexible policies which support you and your home life. Health & Dental Insurance. Extra peace of mind, from day one. All our colleagues can access an employee assistance programme, access to the Unmind app, and other wellbeing support. Colleague networks. Our colleague-led networks are an informal forum for colleagues to come together to discuss topics of shared interest and lived experience. They create a space for people to exchange ideas, discuss best practice, socialise and build a sense of community. Enhanced contributory pension. To support you in saving for the future. Interest-free loans. When you need a little extra cash for life events or home improvements. Great discounts. Free entry to exhibitions, discounts in our shops, cafes, and access to other museums in the NMDC network. Open for All is one of the Science Museum Group's five core values and sets out our important aspiration to be a place for everyone. We are working hard to understand our organisation better and to develop a culture that recognises and values different backgrounds, mindsets, skills, experience, knowledge, and expertise. By having greater diversity, we believe that we will be a stronger and better organisation, capable to continue to Inspire Futures.
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Feb 25, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
Feb 25, 2026
Full time
Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938
UK Wide, Work at Home, UK, GB, Sitel UK L Job Description: The Opportunity: We are seeking a dynamic and experienced Senior Analytics Consultant to support the next phase of growth and innovation for Foundever's English-speaking markets. The ideal candidate will be an analytical thinker, naturally inquisitive, with exceptional problem-solving skills. In this role, you will combine industry knowledge with your technical capabilities to deliver analytics & Insight programs for our clients. These will help achieve a range of outcomes including optimising business processes, enhancing customer experiences and growing sales / revenue. You'll work closely with internal stakeholders and client teams to design, pitch and deliver these programs of work across a wide range of sectors. As part of the wider Analytics and Insight community, you will leverage your expertise in data analysis with strong stakeholder management skills to deliver high impact analysis and gain the buy-in of the business, our operations and our clients. Key Responsibilities: Data Analysis General all round understanding of Insight & Analytics solutions and concepts Leading the delivery of analytics across multiple Insight & analytics programs / clients Strong understanding of statistical analysis and modelling techniques. Develop and deliver presentations to client teams, translating complex analysis into clear, actionable recommendations. Work with our BI & reporting team to design and fine tune insight dashboards, reports, and visualizations in Power BI. Provide peer review of project outputs to assure QA standards are met Lead a small team of data professionals (Analytics Consultants, Insight Analysts) Stakeholder Management Partner with clients to understand business objectives and translate them into analytical & insight solutions. Present the findings of your analysis to stakeholders at all levels up to C-suite. Act as a trusted advisor to both operations and our clients, helping them leverage data to achieve their goals. Work closely with internal teams (Operations, Solutions, Client Strategy & Advisory and Account Management) to deliver transformation projects. Collaborate closely with the Data Science & Engineering, Insight and Client Strategy & Advisory. Improvement Projects Develop insight into initiatives that lead to business process, technology or service improvements Support the development of business cases by quantifying the impact of the proposed initiatives, including cost-benefit analysis and ROI predictions. Track the implementation and success of solutions providing feedback and adjustment recommendations when required. Stay up-to-date with the latest analytical tools, techniques and trends to continuously improve the impact and efficiency of analysis. Sales & Solutions Develop business cases and calculate ROI to enable our team to pitch for and win new business or expand our services for existing clients. Working across the wider Data & analytics function to design, develop and deliver repeatable analytics products that are scalable across our EMEA region. Support our Insight & Analytics Director with the development of sales and analytics solutions, which will form part of a proposals to new prospects or the expansion of services for an existing account. Leadership & Strategy Project lead for insight and analytics services across multiple accounts You will be comfortable leading analysis and co-ordinating the work of others with minimal supervision. You can identify and act on opportunities to improve or standardise processes and procedures, enabling our team to achieve better client outcomes and improve working practices for colleagues Development and management of pipeline tracking and project governance Training, coaching and mentoring other in the analytics team to support their development and progression within Foundever Your Profile & Experience: 2+ years in an analytics role in a BPO setting is essential. 2+ years working in the retail sector is essential. 5+ years in a data analytics role within a contact centre is essential. Hands on expertise in programming languages such as SQL, Python or R ideally in a cloud computing environment (ideally MS Azure) Intermediate to expert knowledge of Power BI data visualisation Knowledge of Azure cloud infrastructure e.g. Databricks is preferred but not essential Experience with Alteryx designer is desirable but not essential Experience of working with unstructured data is desirable but not essential Strong communication skills, both written and verbal, with an ability to influence stakeholders. Excellent problem-solving skills and critical thinking ability. Ability to work independently and manage multiple projects in a fast-paced environment. Who are we? Put simply, our mission is to be the solutions and the team behind the best experiences for the world's leading brands. Wherever and whenever needed. With 170,000 people working across the globe, Foundever securely connects brands with their customers 9 million times a day in 60+ languages. Our global footprint makes us one of the few true global players in the BPO industry. The Package: Competitive salary of up to £75K, depending on experience 10% bonus based on company and personal performance 25 day annual leave + standard bank holidays Competitive pension scheme Remote working with limited You will also have the benefit of working for a very secure and stable organisation that provides excellent working conditions and training as well as an aggressive growth strategy for the UK & SA which will open up careers opportunities for the right individual. If this really interests you and you are attracted to pushing yourself to a rewarding career, then please apply now and our Recruitment Team will be more than happy to speak with you.
Feb 25, 2026
Full time
UK Wide, Work at Home, UK, GB, Sitel UK L Job Description: The Opportunity: We are seeking a dynamic and experienced Senior Analytics Consultant to support the next phase of growth and innovation for Foundever's English-speaking markets. The ideal candidate will be an analytical thinker, naturally inquisitive, with exceptional problem-solving skills. In this role, you will combine industry knowledge with your technical capabilities to deliver analytics & Insight programs for our clients. These will help achieve a range of outcomes including optimising business processes, enhancing customer experiences and growing sales / revenue. You'll work closely with internal stakeholders and client teams to design, pitch and deliver these programs of work across a wide range of sectors. As part of the wider Analytics and Insight community, you will leverage your expertise in data analysis with strong stakeholder management skills to deliver high impact analysis and gain the buy-in of the business, our operations and our clients. Key Responsibilities: Data Analysis General all round understanding of Insight & Analytics solutions and concepts Leading the delivery of analytics across multiple Insight & analytics programs / clients Strong understanding of statistical analysis and modelling techniques. Develop and deliver presentations to client teams, translating complex analysis into clear, actionable recommendations. Work with our BI & reporting team to design and fine tune insight dashboards, reports, and visualizations in Power BI. Provide peer review of project outputs to assure QA standards are met Lead a small team of data professionals (Analytics Consultants, Insight Analysts) Stakeholder Management Partner with clients to understand business objectives and translate them into analytical & insight solutions. Present the findings of your analysis to stakeholders at all levels up to C-suite. Act as a trusted advisor to both operations and our clients, helping them leverage data to achieve their goals. Work closely with internal teams (Operations, Solutions, Client Strategy & Advisory and Account Management) to deliver transformation projects. Collaborate closely with the Data Science & Engineering, Insight and Client Strategy & Advisory. Improvement Projects Develop insight into initiatives that lead to business process, technology or service improvements Support the development of business cases by quantifying the impact of the proposed initiatives, including cost-benefit analysis and ROI predictions. Track the implementation and success of solutions providing feedback and adjustment recommendations when required. Stay up-to-date with the latest analytical tools, techniques and trends to continuously improve the impact and efficiency of analysis. Sales & Solutions Develop business cases and calculate ROI to enable our team to pitch for and win new business or expand our services for existing clients. Working across the wider Data & analytics function to design, develop and deliver repeatable analytics products that are scalable across our EMEA region. Support our Insight & Analytics Director with the development of sales and analytics solutions, which will form part of a proposals to new prospects or the expansion of services for an existing account. Leadership & Strategy Project lead for insight and analytics services across multiple accounts You will be comfortable leading analysis and co-ordinating the work of others with minimal supervision. You can identify and act on opportunities to improve or standardise processes and procedures, enabling our team to achieve better client outcomes and improve working practices for colleagues Development and management of pipeline tracking and project governance Training, coaching and mentoring other in the analytics team to support their development and progression within Foundever Your Profile & Experience: 2+ years in an analytics role in a BPO setting is essential. 2+ years working in the retail sector is essential. 5+ years in a data analytics role within a contact centre is essential. Hands on expertise in programming languages such as SQL, Python or R ideally in a cloud computing environment (ideally MS Azure) Intermediate to expert knowledge of Power BI data visualisation Knowledge of Azure cloud infrastructure e.g. Databricks is preferred but not essential Experience with Alteryx designer is desirable but not essential Experience of working with unstructured data is desirable but not essential Strong communication skills, both written and verbal, with an ability to influence stakeholders. Excellent problem-solving skills and critical thinking ability. Ability to work independently and manage multiple projects in a fast-paced environment. Who are we? Put simply, our mission is to be the solutions and the team behind the best experiences for the world's leading brands. Wherever and whenever needed. With 170,000 people working across the globe, Foundever securely connects brands with their customers 9 million times a day in 60+ languages. Our global footprint makes us one of the few true global players in the BPO industry. The Package: Competitive salary of up to £75K, depending on experience 10% bonus based on company and personal performance 25 day annual leave + standard bank holidays Competitive pension scheme Remote working with limited You will also have the benefit of working for a very secure and stable organisation that provides excellent working conditions and training as well as an aggressive growth strategy for the UK & SA which will open up careers opportunities for the right individual. If this really interests you and you are attracted to pushing yourself to a rewarding career, then please apply now and our Recruitment Team will be more than happy to speak with you.
Salary: £40k - £60k Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Work closely with cross functional teams, translating complex technical concepts into clear, accessible language for non technical audiences Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow Build scalable data solutions leveraging cloud platforms and technologies Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting Implement best practices in data governance, security, and compliance to maintain data integrity Ensure data quality through rigorous QA processes, continuously refining and optimising data queries Develop intuitive dashboards that provide actionable insights to stakeholders Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Help cultivate a data driven culture within the organisation You Will Demonstrate: Strong proficiency in SQL and Python for handling complex data problems Experience building and optimising ETL/ELT pipelines Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Apache Airflow Experience with containerisation technologies (Docker) Ability to craft efficient and performant queries Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Familiarity with test driven development principles applied to data pipeline construction and validation Strong communications skills for translating technical concepts to non technical audiences Business requirements analysis and translation into technical specifications You may also have some of the desirable skills and experience: Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Familiarity with modern data lakehouse architectures Knowledge of legacy ETL tools like SSIS Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event based architectures) Software engineering background with SOLID principles understanding Experience with data governance tools Experience with high performance, large scale data systems Familiarity with Agile development methodologies Knowledge of recent innovations in AI/ML and GenAI Defence or Public Sector experience Consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Collaborative Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Development access to Pluralsight and LinkedIn Learning Wellness 24/7 Confidential employee assistance programme Social office parties, pizza Friday and commitment to charitable causes Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Life Assurance of 4 times base salary Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included)
Feb 25, 2026
Full time
Salary: £40k - £60k Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Work closely with cross functional teams, translating complex technical concepts into clear, accessible language for non technical audiences Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow Build scalable data solutions leveraging cloud platforms and technologies Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting Implement best practices in data governance, security, and compliance to maintain data integrity Ensure data quality through rigorous QA processes, continuously refining and optimising data queries Develop intuitive dashboards that provide actionable insights to stakeholders Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Help cultivate a data driven culture within the organisation You Will Demonstrate: Strong proficiency in SQL and Python for handling complex data problems Experience building and optimising ETL/ELT pipelines Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Apache Airflow Experience with containerisation technologies (Docker) Ability to craft efficient and performant queries Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Familiarity with test driven development principles applied to data pipeline construction and validation Strong communications skills for translating technical concepts to non technical audiences Business requirements analysis and translation into technical specifications You may also have some of the desirable skills and experience: Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Familiarity with modern data lakehouse architectures Knowledge of legacy ETL tools like SSIS Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event based architectures) Software engineering background with SOLID principles understanding Experience with data governance tools Experience with high performance, large scale data systems Familiarity with Agile development methodologies Knowledge of recent innovations in AI/ML and GenAI Defence or Public Sector experience Consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Collaborative Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Development access to Pluralsight and LinkedIn Learning Wellness 24/7 Confidential employee assistance programme Social office parties, pizza Friday and commitment to charitable causes Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Life Assurance of 4 times base salary Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included)
Senior ML Operations Engineer (Python) Salary: Up to £66,000 depending on experience Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months) Ref: J13060 We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deployed and operated in a large scale pricing and analytics environment click apply for full job details
Feb 25, 2026
Full time
Senior ML Operations Engineer (Python) Salary: Up to £66,000 depending on experience Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months) Ref: J13060 We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deployed and operated in a large scale pricing and analytics environment click apply for full job details
A leading information analytics company seeks a Software Engineer III with expertise in backend development and Java. The role focuses on implementing Scala/Spark pipelines and collaborating closely with engineering teams to ensure reliable Big Data solutions. Candidates should have around 3 years of experience and a solid understanding of API design and distributed processing. This position offers flexible working hours and supports a healthy work/life balance.
Feb 25, 2026
Full time
A leading information analytics company seeks a Software Engineer III with expertise in backend development and Java. The role focuses on implementing Scala/Spark pipelines and collaborating closely with engineering teams to ensure reliable Big Data solutions. Candidates should have around 3 years of experience and a solid understanding of API design and distributed processing. This position offers flexible working hours and supports a healthy work/life balance.
We at Focaldata are on a mission to close the "understanding gap" between what organisations believe about people and reality. By leveraging AI, we provide deeper, more accurate insights at a fraction of the cost and time of traditional methods. We have built an amazing team of research industry expert and great engineers to reimagine what is possible in research. We do impactful work with amazing organisations ranging from well-known brands to life-changing non profits. Join us! What you'll do In this role, you will have the opportunity to own research projects from start to finish. To achieve this you will: Take responsibility (with oversight and support) for the end-to-end delivery of projects and leading client communications, using our proprietary tools Manage the research process, from drafting survey questionnaires, designing sampling frames, weighting and analysing results Develop client deliverables and compelling data visualisations, including: data tables, presentation decks, written reports, and blog posts Use quantitative and qualitative data and outputs to advise clients on strategy and cutting edge campaigns Work in tandem with our analytics team to learn and apply data science techniques to analyse survey data, including segmentation, regression and dimension reduction methodologies (e.g., FA, PCA) Conduct qualitative research, including analysing interview transcripts to identify key themes, narratives, and belief/behavioural pathways Help to evolve and future prove our research workflows by integrating cutting edge AI tools and emerging technologies Who you are (skills and experience) This role is for someone who has already learned and applied the fundamentals of running quantitative research and is now looking to take on more ownership and responsibility. Specifically, you will have: Approximately 2 years of research experience (or equivalent) Hands on experience with quantitative research and survey data analysis, ideally with a focus on opinion research projects in the social/political space The ability to interpret, visualise, and present data clearly and effectively to clients Some experience of communicating with clients and building relationships with them Strong organisational skills and the ability to manage multiple projects at once Some experience - professional or personal - using AI tools (e.g., for data analysis or reporting) and an interest in exploring how they can improve research workflows Qualitative research experience is a plus If you've learned the foundations of running research projects but are ready to take on more ownership, stretch your thinking as the research landscape continues to evolve, and grow in a fast paced, curious team - we'd love to hear from you. You're exactly who we're looking for. Who you are (mindset) Is self driven and wants to learn new skills Is proactive and collaborative - able to work independently and as part of a team Takes ownership for their work and speaks up when needed Drives momentum to keep projects moving forward smoothly Has a genuine interest in client service and a drive to exceed expectations This role is required to be in the office 4 days a week (Monday - Thursday). Focaldata is an equal opportunities employer. We believe in the value of a diverse and inclusive workforce for our business, team and customers. We encourage all applications regardless of age, disability, gender, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation. We also understand that certain groups may not feel empowered to apply unless they match every single requirement. Please do apply even if you don't match 100% of every single requirement!
Feb 25, 2026
Full time
We at Focaldata are on a mission to close the "understanding gap" between what organisations believe about people and reality. By leveraging AI, we provide deeper, more accurate insights at a fraction of the cost and time of traditional methods. We have built an amazing team of research industry expert and great engineers to reimagine what is possible in research. We do impactful work with amazing organisations ranging from well-known brands to life-changing non profits. Join us! What you'll do In this role, you will have the opportunity to own research projects from start to finish. To achieve this you will: Take responsibility (with oversight and support) for the end-to-end delivery of projects and leading client communications, using our proprietary tools Manage the research process, from drafting survey questionnaires, designing sampling frames, weighting and analysing results Develop client deliverables and compelling data visualisations, including: data tables, presentation decks, written reports, and blog posts Use quantitative and qualitative data and outputs to advise clients on strategy and cutting edge campaigns Work in tandem with our analytics team to learn and apply data science techniques to analyse survey data, including segmentation, regression and dimension reduction methodologies (e.g., FA, PCA) Conduct qualitative research, including analysing interview transcripts to identify key themes, narratives, and belief/behavioural pathways Help to evolve and future prove our research workflows by integrating cutting edge AI tools and emerging technologies Who you are (skills and experience) This role is for someone who has already learned and applied the fundamentals of running quantitative research and is now looking to take on more ownership and responsibility. Specifically, you will have: Approximately 2 years of research experience (or equivalent) Hands on experience with quantitative research and survey data analysis, ideally with a focus on opinion research projects in the social/political space The ability to interpret, visualise, and present data clearly and effectively to clients Some experience of communicating with clients and building relationships with them Strong organisational skills and the ability to manage multiple projects at once Some experience - professional or personal - using AI tools (e.g., for data analysis or reporting) and an interest in exploring how they can improve research workflows Qualitative research experience is a plus If you've learned the foundations of running research projects but are ready to take on more ownership, stretch your thinking as the research landscape continues to evolve, and grow in a fast paced, curious team - we'd love to hear from you. You're exactly who we're looking for. Who you are (mindset) Is self driven and wants to learn new skills Is proactive and collaborative - able to work independently and as part of a team Takes ownership for their work and speaks up when needed Drives momentum to keep projects moving forward smoothly Has a genuine interest in client service and a drive to exceed expectations This role is required to be in the office 4 days a week (Monday - Thursday). Focaldata is an equal opportunities employer. We believe in the value of a diverse and inclusive workforce for our business, team and customers. We encourage all applications regardless of age, disability, gender, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation. We also understand that certain groups may not feel empowered to apply unless they match every single requirement. Please do apply even if you don't match 100% of every single requirement!
Pedestrian Modelling Consultant Location: London (Hybrid Working) Salary: £30,000 - £40,000 + Bonus + Excellent Benefits Type: Permanent, Full Time About the Consultancy We are working with an award-winning, integrated transport consultancy headquartered in London with an international presence. The business operates across planning, analytics and engineering, delivering people-focused, sustainabl click apply for full job details
Feb 25, 2026
Full time
Pedestrian Modelling Consultant Location: London (Hybrid Working) Salary: £30,000 - £40,000 + Bonus + Excellent Benefits Type: Permanent, Full Time About the Consultancy We are working with an award-winning, integrated transport consultancy headquartered in London with an international presence. The business operates across planning, analytics and engineering, delivering people-focused, sustainabl click apply for full job details
About Us Dymax, part of the Bachmann Chemical & Engineering family of brands is based out of Torrington, Connecticut. Dymax is globally recognized as a pioneer in the development of light-curable adhesives and curing equipment. Today, our expansive portfolio of innovative adhesives, coatings, and maskants are supported by dispense solutions and cutting-edge UV and LED light-curing equipment. Unlike our competitors who supplying standard products, Dymax focuses on the customer experience by tailoring solutions that help customers lower costs, reduce their carbon footprint, improve efficiency, and drive profitability. Our focus on being a customer intimate organization has led us to where we are today: a rapidly expanding force within our industry, an innovative product portfolio, extraordinary employees, and a bright future based on creating quality offerings with a dedication to business growth. About You We're seeking a result-focused, innovative, self-driven, and well-qualified individual to join our talented team as our Director of Human Resources. In this role, you will lead and implement HR strategy and operations across North America by aligning HR programs with global goals and regional business priorities. Provide strategic guidance to site and functional leadership, oversee all HR sub-functions (talent, rewards, employee relations, compliance, and shared services), and foster an engaged and high-performing workforce. Provide coaching and mentorship to global Human Resources professionals and colleagues. Key Responsibilities Shape regional HR strategy and organizational development. Partner cross-functionally to define and execute HR initiatives that support business growth, workforce planning, and operational excellence. Collaborate with site leadership and shared services to enhance organizational effectiveness, succession, and culture alignment first within North America and globally. Act as a strategic advisor to leadership. Advise the North American leadership teams on organizational priorities, workforce planning, and culture. Integrate HR perspectives into decision making to support change management, transformation, and employee engagement across the region. Lead HR operations, employee relations, and compliance by leading the delivery of HR services, including recruitment, benefits, payroll, and HRIS, in North America, ensuring operational excellence, legal compliance, and consistent policy application. Proactively manage employee relations matters and ensure compliance with local North American laws (including, but not limited to, EEO, FMLA, ADA, and OSHA). Advance performance, talent management, and succession planning by leading North America's annual performance management and talent review. Partner with site and functional leaders to identify successors, build leadership capability, and strengthen the talent pipeline for critical positions. Drive total rewards, compensation equity, and talent management by implementing and monitoring North America compensation and benefits strategies consistent with BCE global frameworks. Ensure market competitiveness and pay equity, and provide recommendations on merit, market, promotion, and structural adjustments in coordination with Global HR. Advance training and leadership development by identifying skill and leadership gaps and partnering with global HR to design and deliver learning programs that enhance performance, productivity, and engagement across NA sites. Foster employee engagement and culture by acting as a visible HR leader at the Torrington site and across North America, maintaining regular engagement with employees and leaders. Champion initiatives that promote belonging, recognition, safety, and workforce satisfaction. Drive organizational change and communication. Support organizational transformation through structured change and communication plans. Partner with leaders to ensure adoption, integration, and sustainability of cultural and structural changes. Lead and support organizational change initiatives by providing guidance on communication, adoption, and cultural integration to ensure successful transformation across the region and drive measurable business impact. Qualifications 12+ years of progressive HR/organizational development experience 5+ years managing a team or leading HR operations across multiple sites and globally. Strong expertise in HR strategy, employee relations, talent management, and compliance BS or BA Degree, Master's and/or JD preferred PHR or SHRM C, State Bar membership preferred Travel is up to 20%; intercontinental travel is required Proven experience advising senior leadership and driving change. Proficient in HRIS and data analytics (Workday, Oracle, etc.) Ethical integrity, discretion in handling sensitive matters, and strong business acumen. Excellent communication, leadership, and interpersonal skills. Analytical, organized, and able to manage multiple priorities. Salary Range: $142,000-$204,000 Benefits Attractive salaries Personal growth opportunities Excellent benefits packages that include: Health Care Plan (Medical, Dental & Vision) - effective date of hire Retirement Plan (401K) Life Insurance (Basic, Voluntary & AD&D) Generous Paid Time Off and Public Holidays Short Term and Long Term Disability Free uniforms and footwear Training & Development Tuition Reimbursement Wellness Resources Dymax takes the compensation of its employees very seriously and considers several factors when determining the total compensation package including but not limited to location, market range, skills, knowledge, experience, and abilities. The base salary range represents the low and high end of the Dymax salary range for this position. Actual salaries will vary and may be above or below the range. The range listed is just one component of Dymax's total compensation packages for employees. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Dymax provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, domestic violence status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Feb 25, 2026
Full time
About Us Dymax, part of the Bachmann Chemical & Engineering family of brands is based out of Torrington, Connecticut. Dymax is globally recognized as a pioneer in the development of light-curable adhesives and curing equipment. Today, our expansive portfolio of innovative adhesives, coatings, and maskants are supported by dispense solutions and cutting-edge UV and LED light-curing equipment. Unlike our competitors who supplying standard products, Dymax focuses on the customer experience by tailoring solutions that help customers lower costs, reduce their carbon footprint, improve efficiency, and drive profitability. Our focus on being a customer intimate organization has led us to where we are today: a rapidly expanding force within our industry, an innovative product portfolio, extraordinary employees, and a bright future based on creating quality offerings with a dedication to business growth. About You We're seeking a result-focused, innovative, self-driven, and well-qualified individual to join our talented team as our Director of Human Resources. In this role, you will lead and implement HR strategy and operations across North America by aligning HR programs with global goals and regional business priorities. Provide strategic guidance to site and functional leadership, oversee all HR sub-functions (talent, rewards, employee relations, compliance, and shared services), and foster an engaged and high-performing workforce. Provide coaching and mentorship to global Human Resources professionals and colleagues. Key Responsibilities Shape regional HR strategy and organizational development. Partner cross-functionally to define and execute HR initiatives that support business growth, workforce planning, and operational excellence. Collaborate with site leadership and shared services to enhance organizational effectiveness, succession, and culture alignment first within North America and globally. Act as a strategic advisor to leadership. Advise the North American leadership teams on organizational priorities, workforce planning, and culture. Integrate HR perspectives into decision making to support change management, transformation, and employee engagement across the region. Lead HR operations, employee relations, and compliance by leading the delivery of HR services, including recruitment, benefits, payroll, and HRIS, in North America, ensuring operational excellence, legal compliance, and consistent policy application. Proactively manage employee relations matters and ensure compliance with local North American laws (including, but not limited to, EEO, FMLA, ADA, and OSHA). Advance performance, talent management, and succession planning by leading North America's annual performance management and talent review. Partner with site and functional leaders to identify successors, build leadership capability, and strengthen the talent pipeline for critical positions. Drive total rewards, compensation equity, and talent management by implementing and monitoring North America compensation and benefits strategies consistent with BCE global frameworks. Ensure market competitiveness and pay equity, and provide recommendations on merit, market, promotion, and structural adjustments in coordination with Global HR. Advance training and leadership development by identifying skill and leadership gaps and partnering with global HR to design and deliver learning programs that enhance performance, productivity, and engagement across NA sites. Foster employee engagement and culture by acting as a visible HR leader at the Torrington site and across North America, maintaining regular engagement with employees and leaders. Champion initiatives that promote belonging, recognition, safety, and workforce satisfaction. Drive organizational change and communication. Support organizational transformation through structured change and communication plans. Partner with leaders to ensure adoption, integration, and sustainability of cultural and structural changes. Lead and support organizational change initiatives by providing guidance on communication, adoption, and cultural integration to ensure successful transformation across the region and drive measurable business impact. Qualifications 12+ years of progressive HR/organizational development experience 5+ years managing a team or leading HR operations across multiple sites and globally. Strong expertise in HR strategy, employee relations, talent management, and compliance BS or BA Degree, Master's and/or JD preferred PHR or SHRM C, State Bar membership preferred Travel is up to 20%; intercontinental travel is required Proven experience advising senior leadership and driving change. Proficient in HRIS and data analytics (Workday, Oracle, etc.) Ethical integrity, discretion in handling sensitive matters, and strong business acumen. Excellent communication, leadership, and interpersonal skills. Analytical, organized, and able to manage multiple priorities. Salary Range: $142,000-$204,000 Benefits Attractive salaries Personal growth opportunities Excellent benefits packages that include: Health Care Plan (Medical, Dental & Vision) - effective date of hire Retirement Plan (401K) Life Insurance (Basic, Voluntary & AD&D) Generous Paid Time Off and Public Holidays Short Term and Long Term Disability Free uniforms and footwear Training & Development Tuition Reimbursement Wellness Resources Dymax takes the compensation of its employees very seriously and considers several factors when determining the total compensation package including but not limited to location, market range, skills, knowledge, experience, and abilities. The base salary range represents the low and high end of the Dymax salary range for this position. Actual salaries will vary and may be above or below the range. The range listed is just one component of Dymax's total compensation packages for employees. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Dymax provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, domestic violence status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Role/Job Title: Analytics Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 days in office The Role AS an Analytics Engineer, you'll have the chance to write great SQL, design complex data models, collaborate with a talented team, and deliver robust data products alongside Data Architects click apply for full job details
Feb 25, 2026
Contractor
Role/Job Title: Analytics Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 days in office The Role AS an Analytics Engineer, you'll have the chance to write great SQL, design complex data models, collaborate with a talented team, and deliver robust data products alongside Data Architects click apply for full job details
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Feb 25, 2026
Full time
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
FULL STACK ENGINEER - LONDON (WATERLOO, HYBRID) KEY POINTS Salary up to £75,000 Hybrid working - 3 days per week in Waterloo, London Python, FastAPI, PostgreSQL, React or Next.js End-to-end ownership across frontend and backend ABOUT THE CLIENT We're working with an ambitious AI-driven organisation building advanced analytics products within the sports sector click apply for full job details
Feb 25, 2026
Full time
FULL STACK ENGINEER - LONDON (WATERLOO, HYBRID) KEY POINTS Salary up to £75,000 Hybrid working - 3 days per week in Waterloo, London Python, FastAPI, PostgreSQL, React or Next.js End-to-end ownership across frontend and backend ABOUT THE CLIENT We're working with an ambitious AI-driven organisation building advanced analytics products within the sports sector click apply for full job details
Job Title: AWS Data Engineer Telecom Domain Location: London- 2-3 Days Work from Office. (Hybrid) Job Type: 12 Month Fixed Term Job Summary: Role Overview We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain click apply for full job details
Feb 25, 2026
Full time
Job Title: AWS Data Engineer Telecom Domain Location: London- 2-3 Days Work from Office. (Hybrid) Job Type: 12 Month Fixed Term Job Summary: Role Overview We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain click apply for full job details
SC Cleared Senior Data Engineer - Occasional Travel - Up to £540/day Inside IR35 We are seeking an experienced Senior Data Engineer with active SC clearance to support a Central Government department on a mission-critical data and analytics programme. This role suits someone with strong Microsoft Fabric expertise and experience delivering secure, scalable data solutions in complex public sector env click apply for full job details
Feb 25, 2026
Contractor
SC Cleared Senior Data Engineer - Occasional Travel - Up to £540/day Inside IR35 We are seeking an experienced Senior Data Engineer with active SC clearance to support a Central Government department on a mission-critical data and analytics programme. This role suits someone with strong Microsoft Fabric expertise and experience delivering secure, scalable data solutions in complex public sector env click apply for full job details
Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you'll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken's focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Become a Krakenite and build the future of crypto! Proof of work The team We are seeking a highly skilled and motivated Fraud Strategy Manager to join our dynamic crypto company. As Strategy Manager, Fraud for Krak, you will play a crucial role in managing Krak products, including P2P, Third-Party Payments, the Krak Debit Card and any new business requirements. You will own and deliver approval and decline rate reviews, fraud levels, and the optimisation of messaging to ensure the best outcomes for both the business and our clients, while minimising friction. You will be responsible for supporting development and implementation, optimising fraud controls and fraud rates across all Krak products to increase revenue, keep fraud within company thresholds, and ensure a smooth and secure environment for our users. The opportunity You will be the lead on banking, card issuing regulations, and fraud prevention. You will deliver business requirements working closely with the product & engineering teams Control, monitor, and analyse Krak fraud trends: Stay up to date with the latest fraud trends, techniques, and technologies in the crypto industry. Conduct in-depth analysis of fraud patterns and identify potential vulnerabilities to proactively mitigate risks Monitor and analyse payment trends: Stay current with payment regulations, trends, techniques, and technologies within the crypto industry. Conduct detailed analysis of payment patterns and identify opportunities to proactively increase revenue Policy, process, rules creation and fraud prevention strategies: Create and maintain effective fraud and payment policies, processes, Strategies and rule frameworks Develop and implement fraud prevention strategies: Including Collaboration with cross-functional teams, including Fraud org teams, Product, Engineering, and Security, to design and implement effective fraud prevention strategies and frameworks for the crypto platform Risk assessment, mitigation, governance, and audit controls: Conduct comprehensive risk assessments to identify potential Krak fraud and payment risks and vulnerabilities. Implement preventive measures and controls to mitigate risks effectively and support governance and audit requirements Support business growth and compliance controls: Balance fraud prevention with customer experience and revenue optimisation Fraud detection and investigation: Develop and maintain robust Krak fraud detection systems and tools to identify suspicious activities, transactions, and patterns. Own and lead investigations into suspected fraudulent activity, gathering evidence and working closely with Krak Product, Legal, and Compliance teams Cross-functional collaboration: Partner with Customer Engagement, Compliance, Legal, and other internal teams to ensure effective coordination and communication on Krak fraud- and payment-related matters Data analysis and reporting: Utilise data analytics tools and techniques to extract meaningful insights and produce regular reporting on fraud and payment trends, patterns, and key performance indicators. Present findings to your manager and recommend strategies for continuous improvement Regulatory compliance: Stay abreast of relevant laws, regulations, and industry guidelines related to fraud prevention and payments, ensuring organisational compliance. Develop and maintain effective fraud frameworks and procedures Leadership and mentorship: Provide guidance, mentorship, and training to team members, fostering a culture of continuous learning and professional growth OKRs and strategic delivery: Develop and implement Krak fraud and payments improvement OKRs and strategies in collaboration with cross-functional teams Business reporting: Deliver clear and actionable business reporting on a daily, weekly, monthly, and quarterly basis Best practice guidance: Provide guidance and support to internal teams on best practices across payment methods Skills you should HODL Proven experience (7+ years) in banking, payment processing management, and fraud controls Proficiency in fraud and payment optimisation strategies, tools, and techniques Excellent SQL, analytical and problem-solving skills with strong attention to detail and a Solid knowledge of data analytics and reporting, with experience using data-driven insights to inform decision-making Proven experience with Card acquiring, Third Party, Peer2Peer payments, banking regulatory requirements and Fraud controls Exceptional communication and interpersonal skills to collaborate effectively with cross-functional teams and external stakeholders Ability to adapt quickly in a fast-paced, rapidly evolving industry Flexible, adaptive, and self-managed, with a strong team mindset and a willingness to accommodate both business and fraud organisation needs Nice to haves Bachelor's degree in a relevant field (e.g., Computer Science, Business Administration, Finance) Strong understanding of blockchain technology, cryptocurrencies, and associated fraud risks Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice
Feb 25, 2026
Full time
Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you'll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken's focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Become a Krakenite and build the future of crypto! Proof of work The team We are seeking a highly skilled and motivated Fraud Strategy Manager to join our dynamic crypto company. As Strategy Manager, Fraud for Krak, you will play a crucial role in managing Krak products, including P2P, Third-Party Payments, the Krak Debit Card and any new business requirements. You will own and deliver approval and decline rate reviews, fraud levels, and the optimisation of messaging to ensure the best outcomes for both the business and our clients, while minimising friction. You will be responsible for supporting development and implementation, optimising fraud controls and fraud rates across all Krak products to increase revenue, keep fraud within company thresholds, and ensure a smooth and secure environment for our users. The opportunity You will be the lead on banking, card issuing regulations, and fraud prevention. You will deliver business requirements working closely with the product & engineering teams Control, monitor, and analyse Krak fraud trends: Stay up to date with the latest fraud trends, techniques, and technologies in the crypto industry. Conduct in-depth analysis of fraud patterns and identify potential vulnerabilities to proactively mitigate risks Monitor and analyse payment trends: Stay current with payment regulations, trends, techniques, and technologies within the crypto industry. Conduct detailed analysis of payment patterns and identify opportunities to proactively increase revenue Policy, process, rules creation and fraud prevention strategies: Create and maintain effective fraud and payment policies, processes, Strategies and rule frameworks Develop and implement fraud prevention strategies: Including Collaboration with cross-functional teams, including Fraud org teams, Product, Engineering, and Security, to design and implement effective fraud prevention strategies and frameworks for the crypto platform Risk assessment, mitigation, governance, and audit controls: Conduct comprehensive risk assessments to identify potential Krak fraud and payment risks and vulnerabilities. Implement preventive measures and controls to mitigate risks effectively and support governance and audit requirements Support business growth and compliance controls: Balance fraud prevention with customer experience and revenue optimisation Fraud detection and investigation: Develop and maintain robust Krak fraud detection systems and tools to identify suspicious activities, transactions, and patterns. Own and lead investigations into suspected fraudulent activity, gathering evidence and working closely with Krak Product, Legal, and Compliance teams Cross-functional collaboration: Partner with Customer Engagement, Compliance, Legal, and other internal teams to ensure effective coordination and communication on Krak fraud- and payment-related matters Data analysis and reporting: Utilise data analytics tools and techniques to extract meaningful insights and produce regular reporting on fraud and payment trends, patterns, and key performance indicators. Present findings to your manager and recommend strategies for continuous improvement Regulatory compliance: Stay abreast of relevant laws, regulations, and industry guidelines related to fraud prevention and payments, ensuring organisational compliance. Develop and maintain effective fraud frameworks and procedures Leadership and mentorship: Provide guidance, mentorship, and training to team members, fostering a culture of continuous learning and professional growth OKRs and strategic delivery: Develop and implement Krak fraud and payments improvement OKRs and strategies in collaboration with cross-functional teams Business reporting: Deliver clear and actionable business reporting on a daily, weekly, monthly, and quarterly basis Best practice guidance: Provide guidance and support to internal teams on best practices across payment methods Skills you should HODL Proven experience (7+ years) in banking, payment processing management, and fraud controls Proficiency in fraud and payment optimisation strategies, tools, and techniques Excellent SQL, analytical and problem-solving skills with strong attention to detail and a Solid knowledge of data analytics and reporting, with experience using data-driven insights to inform decision-making Proven experience with Card acquiring, Third Party, Peer2Peer payments, banking regulatory requirements and Fraud controls Exceptional communication and interpersonal skills to collaborate effectively with cross-functional teams and external stakeholders Ability to adapt quickly in a fast-paced, rapidly evolving industry Flexible, adaptive, and self-managed, with a strong team mindset and a willingness to accommodate both business and fraud organisation needs Nice to haves Bachelor's degree in a relevant field (e.g., Computer Science, Business Administration, Finance) Strong understanding of blockchain technology, cryptocurrencies, and associated fraud risks Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice
