You think in time series, signals, and regimes. You care about insight quality, not academic purity. You want your models tested by markets, not papers. If you dislike messy data and real-world constraints, this is not your role. The Role, In Plain English You will build quantitative and ML-driven insight systems using structured time series data. This role exists to turn raw financial data into actionable investor signals. You will work closely with engineers to productionize quant logic. What You'll Be Responsible For Develop models using structured financial time series Build insight generation and scenario analysis pipelines Collaborate with backend engineers to deploy models in production Evaluate signals based on real investor outcomes Improve attribution and explainability What "Good" Looks Like in This Role After 3 months: Shipping signals used internally. After 6 months: Signals used by customers. After 12 months: You shape how quant insights are built at Reflexivity. Who You Are (Must-Haves) 5 plus years experience in quant, ML, or financial modeling Strong Python skills Startup experience on core systems Investment domain knowledge AI-assisted coding experience Nice-to-Haves (Not Deal Breakers) Prior buy-side or sell-side experience Experience with alternative data How We Work In-office team with high trust and high ownership Direct communication, minimal process, strong opinions backed by data Engineers are expected to think about product impact, not just code We move fast when it matters and slow down when correctness matters more Why This Role Is Worth Your Time Direct influence on how professional investors make decisions Hard problems at the edge of AI, data, and finance Real ownership and technical autonomy Senior peers who care about quality and outcomes Compensation & Practicalities Base salary: £110,000 to £200,000 depending on experience Equity included In-office role based in London No agency candidates £110,000-£200,000 GBP
Feb 19, 2026
Full time
You think in time series, signals, and regimes. You care about insight quality, not academic purity. You want your models tested by markets, not papers. If you dislike messy data and real-world constraints, this is not your role. The Role, In Plain English You will build quantitative and ML-driven insight systems using structured time series data. This role exists to turn raw financial data into actionable investor signals. You will work closely with engineers to productionize quant logic. What You'll Be Responsible For Develop models using structured financial time series Build insight generation and scenario analysis pipelines Collaborate with backend engineers to deploy models in production Evaluate signals based on real investor outcomes Improve attribution and explainability What "Good" Looks Like in This Role After 3 months: Shipping signals used internally. After 6 months: Signals used by customers. After 12 months: You shape how quant insights are built at Reflexivity. Who You Are (Must-Haves) 5 plus years experience in quant, ML, or financial modeling Strong Python skills Startup experience on core systems Investment domain knowledge AI-assisted coding experience Nice-to-Haves (Not Deal Breakers) Prior buy-side or sell-side experience Experience with alternative data How We Work In-office team with high trust and high ownership Direct communication, minimal process, strong opinions backed by data Engineers are expected to think about product impact, not just code We move fast when it matters and slow down when correctness matters more Why This Role Is Worth Your Time Direct influence on how professional investors make decisions Hard problems at the edge of AI, data, and finance Real ownership and technical autonomy Senior peers who care about quality and outcomes Compensation & Practicalities Base salary: £110,000 to £200,000 depending on experience Equity included In-office role based in London No agency candidates £110,000-£200,000 GBP
About The Role Hippo is recruiting a Senior Test Engineer to join our Hippo Herd. Senior Test Engineers work in multi-disciplinary teams that build, support & maintain User Centred digital solutions that offer real value and work for everyone. Hippo's Senior Test Engineers design and implement quality check procedures for our products and services. You will be responsible for analysing features, designing test parameters, creating customised quality checks and writing up final procedures. You'll also use your experience and expertise to enable our clients to continue to iterate and improve their products and services. You will drive the team's technical deliverables, maintain client relationships and be passionate about developing and upskilling others. We are looking for candidates who are looking for growth at this level (Senior), therefore the advertised salary band is the lower end of our full banding for this level of position, allowing for progression in the role. Your role in nutshell Meet with the product design team to determine testing parameters Write test plans and create test cases for the product, conducting quality assurance and design performance tests using the new testing procedures, producing test reports for internal and external stakeholders Work collaboratively with colleagues to explore, design and deliver solutions to client problems Design and manage software development and deployment pipelines resolving issues and potential bottlenecks before they occur Be a strong communicator and presenter, presenting prototypes, solutions and progress to internal/external stakeholders in a clear concise manner Build great relationships with your team and stakeholders, identifying and ensuring that challenges are overcome Involved in the recruitment, on boarding and line management of other engineers, and support other consultants in their professional development Promote Hippo's Engineering Herd externally (for example through writing Blogs, Workshops, Seminars or Conferences) Skills and experience that you need Excellent verbal/written communication skills, able to articulate in both technical/non technical terms depending on audience Extensive experience in functional automation and non functional automation testing. Experience of the full testing lifecycle with a proven track record as a QA/Test Engineer Skilled in testing web and mobile applications, including accessibility, cross browser/device and usability testing Experience of using testing tools such as Selenium, Specflow, Cucumber, Gherkin Syntax, JMeter and K6 Containerisation experience - Docker or Kubernetes or similar Exposure to Python is highly desirable Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled in designing and building frameworks to test native and web applications, across a variety of scales and platform environments Infrastructure As Code - Cloudformation, Terraform or ARM or similar Expertise in public cloud (AWS or Azure) and DevOps CI/CD tools such as Jenkins, AWS CodeBuild, Azure DevOps and Atlassian Previous experience of working on GOV/NHS projects would be highly desirable What makes us great Contributory pension scheme (Hippo 6% with employee contributions of 2%) 25 days holiday plus UK public holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle to work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: private health cover private dental cover additional company pension contributions additional holidays (up to an extra 2 days) wellbeing contribution charity contributions tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo. At Hippo, we design with empathy and build for impact. We do this by combining data informed evidence, human centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. If you're looking for a digital services partner that can deliver real results, let us help you build for the future and make a lasting impact. Hippo locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices which will be your contracted office location. Given the dynamic nature of a consulting business, you may be required to work on site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel. Plus, we offer a generous relocation support package of up to £8k (please ask for terms and conditions) to help make your move a smooth one.
Feb 19, 2026
Full time
About The Role Hippo is recruiting a Senior Test Engineer to join our Hippo Herd. Senior Test Engineers work in multi-disciplinary teams that build, support & maintain User Centred digital solutions that offer real value and work for everyone. Hippo's Senior Test Engineers design and implement quality check procedures for our products and services. You will be responsible for analysing features, designing test parameters, creating customised quality checks and writing up final procedures. You'll also use your experience and expertise to enable our clients to continue to iterate and improve their products and services. You will drive the team's technical deliverables, maintain client relationships and be passionate about developing and upskilling others. We are looking for candidates who are looking for growth at this level (Senior), therefore the advertised salary band is the lower end of our full banding for this level of position, allowing for progression in the role. Your role in nutshell Meet with the product design team to determine testing parameters Write test plans and create test cases for the product, conducting quality assurance and design performance tests using the new testing procedures, producing test reports for internal and external stakeholders Work collaboratively with colleagues to explore, design and deliver solutions to client problems Design and manage software development and deployment pipelines resolving issues and potential bottlenecks before they occur Be a strong communicator and presenter, presenting prototypes, solutions and progress to internal/external stakeholders in a clear concise manner Build great relationships with your team and stakeholders, identifying and ensuring that challenges are overcome Involved in the recruitment, on boarding and line management of other engineers, and support other consultants in their professional development Promote Hippo's Engineering Herd externally (for example through writing Blogs, Workshops, Seminars or Conferences) Skills and experience that you need Excellent verbal/written communication skills, able to articulate in both technical/non technical terms depending on audience Extensive experience in functional automation and non functional automation testing. Experience of the full testing lifecycle with a proven track record as a QA/Test Engineer Skilled in testing web and mobile applications, including accessibility, cross browser/device and usability testing Experience of using testing tools such as Selenium, Specflow, Cucumber, Gherkin Syntax, JMeter and K6 Containerisation experience - Docker or Kubernetes or similar Exposure to Python is highly desirable Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled in designing and building frameworks to test native and web applications, across a variety of scales and platform environments Infrastructure As Code - Cloudformation, Terraform or ARM or similar Expertise in public cloud (AWS or Azure) and DevOps CI/CD tools such as Jenkins, AWS CodeBuild, Azure DevOps and Atlassian Previous experience of working on GOV/NHS projects would be highly desirable What makes us great Contributory pension scheme (Hippo 6% with employee contributions of 2%) 25 days holiday plus UK public holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle to work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: private health cover private dental cover additional company pension contributions additional holidays (up to an extra 2 days) wellbeing contribution charity contributions tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo. At Hippo, we design with empathy and build for impact. We do this by combining data informed evidence, human centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. If you're looking for a digital services partner that can deliver real results, let us help you build for the future and make a lasting impact. Hippo locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices which will be your contracted office location. Given the dynamic nature of a consulting business, you may be required to work on site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel. Plus, we offer a generous relocation support package of up to £8k (please ask for terms and conditions) to help make your move a smooth one.
Senior Software Engineer - Sell-Side Trading Location London Business Area Engineering and CTO Ref # Description & Requirements Every day, thousands of businesses across the globe rely on Bloomberg's Sell-Side Trading Platform to support their trading activity. As part of the Trading Solutions businesses, Sell-Side delivers a global multi-asset solution for trade capture, market making, inventory management, front office collaboration, middle office operations, and electronic trading. By providing customizable workflows, extensive analytics, and high performing functionality, our tools allow users to get the information they need fast and stay one step ahead of the market. We build powerful solutions that allow traders to manage their positions, risk and P&L, make markets using our electronic trading suite of tools, and analyze their clients' behaviors to anticipate future needs. To do this, we employ a broad set of software tools and technology. This includes our award winning . What's in it for you: As Senior Software Engineer, you'll work within a team designing and implementing new features and workflows as well as improving our performance and reliability. You'll be given the opportunity to impact the entire research, development, and deployment lifecycle of the software you support, and you'll learn the sell side fixed income industry, our clients, and choose the best solution for their needs. We leverage an agile software development process as well as a continuous integration and deployment pipeline to produce high quality software quickly to production. We expect you to be creative and proactively look for the most suitable technology to solve complex problems. We'll trust you to: Design and develop software that provides our clients with high performing, scalable, and flexible workflows Work across a full software stack and be comfortable learning about and supporting different parts of the system Troubleshoot and diagnose issues quickly across a large code base and set of workflows Balance and prioritize development work to provide the most critical and useful functionality to our clients You'll need to have: 5+ years of experience programming in C++/C, Java, C#, Javascript, Typescript, or Python Strong knowledge of object oriented design, data structures, and systems and applications programming Experience building scalable, distributed systems with focus on code quality and testing Experience with CI, CD and unit testing Experience collaborating and working across team boundaries to construct comprehensive enterprise wide solutions We'd love to see: Prior experience developing trading applications, ideally in the Fixed Income domain Functional expertise building both client and server side code Enthusiasm to drive discussions, share new ideas, and promote best practices on the team Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Feb 18, 2026
Full time
Senior Software Engineer - Sell-Side Trading Location London Business Area Engineering and CTO Ref # Description & Requirements Every day, thousands of businesses across the globe rely on Bloomberg's Sell-Side Trading Platform to support their trading activity. As part of the Trading Solutions businesses, Sell-Side delivers a global multi-asset solution for trade capture, market making, inventory management, front office collaboration, middle office operations, and electronic trading. By providing customizable workflows, extensive analytics, and high performing functionality, our tools allow users to get the information they need fast and stay one step ahead of the market. We build powerful solutions that allow traders to manage their positions, risk and P&L, make markets using our electronic trading suite of tools, and analyze their clients' behaviors to anticipate future needs. To do this, we employ a broad set of software tools and technology. This includes our award winning . What's in it for you: As Senior Software Engineer, you'll work within a team designing and implementing new features and workflows as well as improving our performance and reliability. You'll be given the opportunity to impact the entire research, development, and deployment lifecycle of the software you support, and you'll learn the sell side fixed income industry, our clients, and choose the best solution for their needs. We leverage an agile software development process as well as a continuous integration and deployment pipeline to produce high quality software quickly to production. We expect you to be creative and proactively look for the most suitable technology to solve complex problems. We'll trust you to: Design and develop software that provides our clients with high performing, scalable, and flexible workflows Work across a full software stack and be comfortable learning about and supporting different parts of the system Troubleshoot and diagnose issues quickly across a large code base and set of workflows Balance and prioritize development work to provide the most critical and useful functionality to our clients You'll need to have: 5+ years of experience programming in C++/C, Java, C#, Javascript, Typescript, or Python Strong knowledge of object oriented design, data structures, and systems and applications programming Experience building scalable, distributed systems with focus on code quality and testing Experience with CI, CD and unit testing Experience collaborating and working across team boundaries to construct comprehensive enterprise wide solutions We'd love to see: Prior experience developing trading applications, ideally in the Fixed Income domain Functional expertise building both client and server side code Enthusiasm to drive discussions, share new ideas, and promote best practices on the team Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Feb 18, 2026
Full time
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Associate Director - Consultancy (Data, Python, SQL) Birmingham / UK Hybrid The Opportunity We are working with a growing mid-tier consultancy that is investing heavily in its Data and Technology consulting capability. They are seeking an Associate Director to play a senior leadership role across client delivery, proposition development, and commercial growth, working closely with Partners and Directors. This Associate Director role is designed for someone who is deeply fluent in Python, Python scripting and SQL, and who continues to design, build, review and debug solutions while leading teams and clients. As an Associate Director, you will: Remain hands-on with Python, Python scripting and SQL across live client engagements Python-based analytics and automation SQL logic for complex transformations, reconciliations and controls End-to-end data flows and exception handling logic Lead delivery of technically complex programmes, staying close to the detail Act as the senior technical authority on engagements, solving problems when delivery stalls Translate audit, regulatory, deals or operational requirements into working Python and SQL solutions Lead and mentor teams through active code review, pattern setting and pairing, not abstraction Own senior client relationships while retaining technical depth and delivery accountability Technical Requirements Python & Python Scripting Controls analytics, reconciliations and anomaly detection Automation of manual and semi-automated processes Evidence generation for audit and regulatory needs SQL Complex transformation logic Financial, payments and ledger reconciliations Data quality rules, tolerances, ageing and exception management Data Engineering Cloud-based pipelines and ETL patterns Testable, auditable and monitored data models Performance, reliability and scalability considerations Leadership Expectations Lead and grow multi-disciplinary technical teams Set coding, documentation and quality standards Coach consultants and engineers in Python and SQL best practice Shape reusable assets and accelerators that improve margin and consistency Support bids and proposals with real technical input, not generic positioning What We're Looking For Senior consulting experience (Senior Manager or Associate Director) Strong, current hands-on experience in Python and SQL Confidence operating at code, architecture and executive levels simultaneously Experience delivering in regulated, audit-heavy, deals or complex environments A delivery mindset focused on working solutions, not theory Why This Role Explicitly hands-on at Associate Director level Python and SQL are core, not 'nice to have' Clear progression without stepping away from technical substance A firm that values people who can both lead and build Please send your CV to Method Resourcing for more information. RSG Plc is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
Feb 18, 2026
Full time
Associate Director - Consultancy (Data, Python, SQL) Birmingham / UK Hybrid The Opportunity We are working with a growing mid-tier consultancy that is investing heavily in its Data and Technology consulting capability. They are seeking an Associate Director to play a senior leadership role across client delivery, proposition development, and commercial growth, working closely with Partners and Directors. This Associate Director role is designed for someone who is deeply fluent in Python, Python scripting and SQL, and who continues to design, build, review and debug solutions while leading teams and clients. As an Associate Director, you will: Remain hands-on with Python, Python scripting and SQL across live client engagements Python-based analytics and automation SQL logic for complex transformations, reconciliations and controls End-to-end data flows and exception handling logic Lead delivery of technically complex programmes, staying close to the detail Act as the senior technical authority on engagements, solving problems when delivery stalls Translate audit, regulatory, deals or operational requirements into working Python and SQL solutions Lead and mentor teams through active code review, pattern setting and pairing, not abstraction Own senior client relationships while retaining technical depth and delivery accountability Technical Requirements Python & Python Scripting Controls analytics, reconciliations and anomaly detection Automation of manual and semi-automated processes Evidence generation for audit and regulatory needs SQL Complex transformation logic Financial, payments and ledger reconciliations Data quality rules, tolerances, ageing and exception management Data Engineering Cloud-based pipelines and ETL patterns Testable, auditable and monitored data models Performance, reliability and scalability considerations Leadership Expectations Lead and grow multi-disciplinary technical teams Set coding, documentation and quality standards Coach consultants and engineers in Python and SQL best practice Shape reusable assets and accelerators that improve margin and consistency Support bids and proposals with real technical input, not generic positioning What We're Looking For Senior consulting experience (Senior Manager or Associate Director) Strong, current hands-on experience in Python and SQL Confidence operating at code, architecture and executive levels simultaneously Experience delivering in regulated, audit-heavy, deals or complex environments A delivery mindset focused on working solutions, not theory Why This Role Explicitly hands-on at Associate Director level Python and SQL are core, not 'nice to have' Clear progression without stepping away from technical substance A firm that values people who can both lead and build Please send your CV to Method Resourcing for more information. RSG Plc is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
Senior Research Scientist - Recruiting on Behalf of TKMS ATLAS UK Morson is proud to be recruiting on behalf of TKMS ATLAS UK for a Senior Scientific Research professional to join their Research and Innovation Division in Dorset. This role requires the successful candidate to hold DV clearance (or be eligible to obtain it) and to work onsite 4 days per week. Qualifications and Skills Degree or PhD in physics, mathematics, or a related discipline, supported by relevant experience. Candidates with engineering backgrounds are welcome where research has been a key focus. Excellent communication skills, including delivering presentations. Excellent written skills, particularly in preparing bids and technical reports. Strong team-working abilities. Knowledge and Experience Must be able to obtain a DV Clearance. (These can be developed in the role if not already held.) Applicants should demonstrate a successful track record in developing technical solutions and planning, coordinating, and delivering research programmes. The ideal candidate will have experience in at least one of the following domains and be capable of leading research projects that span multiple areas: Signal processing, image analysis, automated detection processing Statistical modelling, data science, machine learning, AI, data visualisation Modelling signatures of naval platforms Naval platform design Numerical simulation of complex phenomena and computational fluid dynamics Remote sensing and numerical simulation of ocean processes Laboratory experimentation Technical leadership of projects, including leading small research teams and ensuring delivery to time, cost, and quality Use of scientific computational software such as MATLAB or Python Purpose of the Role To support bidding activities, develop technical strategies and solutions, and lead the technical delivery of assigned projects to time, cost, and quality. The role also includes identifying opportunities for capability development and exploiting research into products. Challenges of the Role Collaborating with specialists across a wide range of disciplines Working with stakeholders across the business to support the development and delivery of customer solutions Communicating technical findings and concepts to expert and non-expert stakeholders within TKMS ATLAS UK and the customer community Synthesising technical analysis outputs to provide clear, coherent advice for stakeholders and key decision-makers Providing technical leadership on multidisciplinary research projects Supporting the professional development of junior team members Effective time management This is an onsite role based in Dorset. If you are interested in this opportunity, please submit your CV to . JBRP1_UKTJ
Feb 18, 2026
Full time
Senior Research Scientist - Recruiting on Behalf of TKMS ATLAS UK Morson is proud to be recruiting on behalf of TKMS ATLAS UK for a Senior Scientific Research professional to join their Research and Innovation Division in Dorset. This role requires the successful candidate to hold DV clearance (or be eligible to obtain it) and to work onsite 4 days per week. Qualifications and Skills Degree or PhD in physics, mathematics, or a related discipline, supported by relevant experience. Candidates with engineering backgrounds are welcome where research has been a key focus. Excellent communication skills, including delivering presentations. Excellent written skills, particularly in preparing bids and technical reports. Strong team-working abilities. Knowledge and Experience Must be able to obtain a DV Clearance. (These can be developed in the role if not already held.) Applicants should demonstrate a successful track record in developing technical solutions and planning, coordinating, and delivering research programmes. The ideal candidate will have experience in at least one of the following domains and be capable of leading research projects that span multiple areas: Signal processing, image analysis, automated detection processing Statistical modelling, data science, machine learning, AI, data visualisation Modelling signatures of naval platforms Naval platform design Numerical simulation of complex phenomena and computational fluid dynamics Remote sensing and numerical simulation of ocean processes Laboratory experimentation Technical leadership of projects, including leading small research teams and ensuring delivery to time, cost, and quality Use of scientific computational software such as MATLAB or Python Purpose of the Role To support bidding activities, develop technical strategies and solutions, and lead the technical delivery of assigned projects to time, cost, and quality. The role also includes identifying opportunities for capability development and exploiting research into products. Challenges of the Role Collaborating with specialists across a wide range of disciplines Working with stakeholders across the business to support the development and delivery of customer solutions Communicating technical findings and concepts to expert and non-expert stakeholders within TKMS ATLAS UK and the customer community Synthesising technical analysis outputs to provide clear, coherent advice for stakeholders and key decision-makers Providing technical leadership on multidisciplinary research projects Supporting the professional development of junior team members Effective time management This is an onsite role based in Dorset. If you are interested in this opportunity, please submit your CV to . JBRP1_UKTJ
About the Role: Grade Level (for internal use): 15 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long-term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, reporting and tracking its adoption. Support governance activities by maintaining accurate, up-to-date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real-time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API-led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Assets, Data and Tooling team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan . click apply for full job details
Feb 18, 2026
Full time
About the Role: Grade Level (for internal use): 15 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long-term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, reporting and tracking its adoption. Support governance activities by maintaining accurate, up-to-date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real-time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API-led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Assets, Data and Tooling team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan . click apply for full job details
Senior Propulsion Engineer - Cutting Edge Rocket Motor Design (Defence / Aerospace) Location: Worcestershire (Hybrid after probation) Salary: £45,000 - £55,000 + bonus + benefits benefits Clearance: Must be eligible for UK SC (sponsorship available) Are you passionate about propulsion, numerical modelling, and the physics of how things really fly? This is a rare opportunity to join one of the UK's leading developers of solid rocket motor technology, supporting some of the most advanced defence programmes in the country. We're hiring a Senior Propulsion Engineer (internally known as a Senior Ballistician) for a specialist engineering organisation working at the forefront of rocket motor design, analysis, and performance modelling. What You'll Be Doing As an internal technical authority on rocket motor performance, you'll be involved in the full engineering life-cycle, including: Predicting rocket motor performance using a range of numerical modelling methods. Supporting the design, conception and optimisation of solid rocket motor systems. Analysing live motor firing trials and comparing real world data to model predictions. Developing and improving in house modelling and simulation methodologies. Leading and contributing to research projects exploring the next generation of propulsion technologies. Acting as a technical interface with customers, presenting findings and guiding design decisions. Mentoring junior engineers in modelling, simulation and rocket motor fundamentals. This is a highly analytical role with genuine influence over key technical decisions. Who We're Looking For You'll ideally bring: Degree in Physics, Mechanical Engineering, Aerospace Engineering, or similar. Strong understanding of fluid dynamics, numerical simulation, and applied physics. Proficiency with MATLAB or Python for data analysis and modelling. Experience in numerical modelling, Computational Fluid Dynamics, propulsion, or a related discipline. Experience from aerospace, defence, rocketry, propulsion, or similar. Genuine enthusiasm for rocket propulsion - many successful people here are passionate about rockets. Security Clearance Applicants must be eligible for SC clearance. The employer will sponsor this. ? Why Join? Work on real rocket motor systems used in front line defence applications. Significant research opportunities with freedom to drive your own technical projects. Strong progression potential - future leadership paths available for the right person. Hybrid working, competitive salary, bonus scheme and a comprehensive benefits package. Relocation support available for candidates moving to the area. Interested? If you're excited by high end propulsion engineering, advanced numerical modelling and the chance to work on genuine rocket technology, I'd love to speak with you. JBRP1_UKTJ
Feb 18, 2026
Full time
Senior Propulsion Engineer - Cutting Edge Rocket Motor Design (Defence / Aerospace) Location: Worcestershire (Hybrid after probation) Salary: £45,000 - £55,000 + bonus + benefits benefits Clearance: Must be eligible for UK SC (sponsorship available) Are you passionate about propulsion, numerical modelling, and the physics of how things really fly? This is a rare opportunity to join one of the UK's leading developers of solid rocket motor technology, supporting some of the most advanced defence programmes in the country. We're hiring a Senior Propulsion Engineer (internally known as a Senior Ballistician) for a specialist engineering organisation working at the forefront of rocket motor design, analysis, and performance modelling. What You'll Be Doing As an internal technical authority on rocket motor performance, you'll be involved in the full engineering life-cycle, including: Predicting rocket motor performance using a range of numerical modelling methods. Supporting the design, conception and optimisation of solid rocket motor systems. Analysing live motor firing trials and comparing real world data to model predictions. Developing and improving in house modelling and simulation methodologies. Leading and contributing to research projects exploring the next generation of propulsion technologies. Acting as a technical interface with customers, presenting findings and guiding design decisions. Mentoring junior engineers in modelling, simulation and rocket motor fundamentals. This is a highly analytical role with genuine influence over key technical decisions. Who We're Looking For You'll ideally bring: Degree in Physics, Mechanical Engineering, Aerospace Engineering, or similar. Strong understanding of fluid dynamics, numerical simulation, and applied physics. Proficiency with MATLAB or Python for data analysis and modelling. Experience in numerical modelling, Computational Fluid Dynamics, propulsion, or a related discipline. Experience from aerospace, defence, rocketry, propulsion, or similar. Genuine enthusiasm for rocket propulsion - many successful people here are passionate about rockets. Security Clearance Applicants must be eligible for SC clearance. The employer will sponsor this. ? Why Join? Work on real rocket motor systems used in front line defence applications. Significant research opportunities with freedom to drive your own technical projects. Strong progression potential - future leadership paths available for the right person. Hybrid working, competitive salary, bonus scheme and a comprehensive benefits package. Relocation support available for candidates moving to the area. Interested? If you're excited by high end propulsion engineering, advanced numerical modelling and the chance to work on genuine rocket technology, I'd love to speak with you. JBRP1_UKTJ
Overview Machine Learning Research Engineer - NLP / LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge - 3 days in office / 2 days remote Salary: Highly competitive salary + comprehensive benefits Requirements You will have a Ph.D from a world-leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning / AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities Join a team responsible for investigating the latest research in machine learning algorithms - largely within the NLP field along with some computer vision Make suggestions based on the feasibility of research to help shape future projects and products Prototyping research concepts Determining output quality, efficiency, and feasibility compared with other techniques What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work researching the next phases of cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We're committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn't of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Company RedTech Recruitment Educational level Educational level: Senior (5+ years of experience) Level of experience (years) Senior (5+ years of experience)
Feb 18, 2026
Full time
Overview Machine Learning Research Engineer - NLP / LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge - 3 days in office / 2 days remote Salary: Highly competitive salary + comprehensive benefits Requirements You will have a Ph.D from a world-leading University in a Computer Science, Physics, Maths or similar (we are very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning / AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities Join a team responsible for investigating the latest research in machine learning algorithms - largely within the NLP field along with some computer vision Make suggestions based on the feasibility of research to help shape future projects and products Prototyping research concepts Determining output quality, efficiency, and feasibility compared with other techniques What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work researching the next phases of cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We're committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn't of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Company RedTech Recruitment Educational level Educational level: Senior (5+ years of experience) Level of experience (years) Senior (5+ years of experience)
At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role you will be joining an exciting, innovative business new to the Visa family. At Featurespace, we are the world leader in Enterprise Financial Crime prevention, using cutting-edge machine learning technology to fight fraud and money laundering. As the inventors of Adaptive Behavioral Analytics and creators of the ARIC platform, we are trusted by customers across 180+ countries. As a Senior Software Engineer, you will help shape the future of our SaaS platform, playing a key role in delivering next-generation fraud prevention solutions at scale. The Opportunity As a Senior Software Engineer at Featurespace, you will play a pivotal role in designing, building, and scaling our global, multi-tenant SaaS platform. This hands-on role offers the chance to make a significant impact by leveraging cutting-edge technologies to combat financial crime and deliver innovative solutions to customers worldwide. If you thrive in a collaborative, innovative, and fast-paced environment, this is your chance to lead, mentor, and shape the future of our platform while delivering high-impact solutions in a startup-style environment. In this role, you will: Lead the design and development of services and infrastructure for our SaaS platform, utilizing technologies like Java, Python, Rust and AWS. Own and drive complex technical projects, guiding the team through architectural discussions and implementation to ensure scalability, maintainability, and performance. Collaborate across teams with engineers, product managers, designers, and data scientists to design and build end to end features that solve real customer problems. Partner with internal stakeholders to gather and refine product requirements, aligning them with technical strategies to enhance our platform's capabilities. Optimize cloud infrastructure and managed services, ensuring our systems are secure, performant, and scalable as our customer base continues to grow globally. Mentor junior engineers, foster best practices in code quality, automated testing, and architecture decisions across the team. Troubleshoot and resolve performance bottlenecks in our multi tenant architecture, ensuring uptime and reliability across the tech stack. Take operational responsibility for the services owned by your team, including participation in on call rotations to ensure the health of production services. Why Join Us? Be part of a growing, passionate team that's leading the fight against financial crime with innovative technology. Work on impactful projects that shape the future of fraud prevention and AML solutions. Collaborate with a talented group of engineers in a fast paced, learning focused environment. This is a hybrid position. There is an expectation of at least 3 days in the office per week. Basic Qualifications Work experience with a Bachelor's Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD) Required experience: Proven experience as a Software Engineer or Senior Software Engineer, ideally within a high scale SaaS environment. Proficiency programming in Java or Python. Strong understanding of systems design, data structures, and algorithms for building distributed systems. Ability to lead technical projects, mentor team members, and influence architectural decisions. A commitment to automated testing practices and ensuring the reliability of systems. Strong skills in troubleshooting and optimizing performance in large, distributed systems. Great to have: Experience working in fraud prevention or financial technology domains. Familiarity with relational and NoSQL databases in production environments (e.g., PostgreSQL, DynamoDB). Experience with large scale data processing, storage technologies, and RESTful API design. Hands on experience with AWS services such as Lambda, ECS, S3, RDS. Familiarity with Kubernetes. Knowledge of message queueing systems and event driven architectures. Experience with CI/CD pipelines, source control, and modern development environments. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Feb 18, 2026
Full time
At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role you will be joining an exciting, innovative business new to the Visa family. At Featurespace, we are the world leader in Enterprise Financial Crime prevention, using cutting-edge machine learning technology to fight fraud and money laundering. As the inventors of Adaptive Behavioral Analytics and creators of the ARIC platform, we are trusted by customers across 180+ countries. As a Senior Software Engineer, you will help shape the future of our SaaS platform, playing a key role in delivering next-generation fraud prevention solutions at scale. The Opportunity As a Senior Software Engineer at Featurespace, you will play a pivotal role in designing, building, and scaling our global, multi-tenant SaaS platform. This hands-on role offers the chance to make a significant impact by leveraging cutting-edge technologies to combat financial crime and deliver innovative solutions to customers worldwide. If you thrive in a collaborative, innovative, and fast-paced environment, this is your chance to lead, mentor, and shape the future of our platform while delivering high-impact solutions in a startup-style environment. In this role, you will: Lead the design and development of services and infrastructure for our SaaS platform, utilizing technologies like Java, Python, Rust and AWS. Own and drive complex technical projects, guiding the team through architectural discussions and implementation to ensure scalability, maintainability, and performance. Collaborate across teams with engineers, product managers, designers, and data scientists to design and build end to end features that solve real customer problems. Partner with internal stakeholders to gather and refine product requirements, aligning them with technical strategies to enhance our platform's capabilities. Optimize cloud infrastructure and managed services, ensuring our systems are secure, performant, and scalable as our customer base continues to grow globally. Mentor junior engineers, foster best practices in code quality, automated testing, and architecture decisions across the team. Troubleshoot and resolve performance bottlenecks in our multi tenant architecture, ensuring uptime and reliability across the tech stack. Take operational responsibility for the services owned by your team, including participation in on call rotations to ensure the health of production services. Why Join Us? Be part of a growing, passionate team that's leading the fight against financial crime with innovative technology. Work on impactful projects that shape the future of fraud prevention and AML solutions. Collaborate with a talented group of engineers in a fast paced, learning focused environment. This is a hybrid position. There is an expectation of at least 3 days in the office per week. Basic Qualifications Work experience with a Bachelor's Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD) Required experience: Proven experience as a Software Engineer or Senior Software Engineer, ideally within a high scale SaaS environment. Proficiency programming in Java or Python. Strong understanding of systems design, data structures, and algorithms for building distributed systems. Ability to lead technical projects, mentor team members, and influence architectural decisions. A commitment to automated testing practices and ensuring the reliability of systems. Strong skills in troubleshooting and optimizing performance in large, distributed systems. Great to have: Experience working in fraud prevention or financial technology domains. Familiarity with relational and NoSQL databases in production environments (e.g., PostgreSQL, DynamoDB). Experience with large scale data processing, storage technologies, and RESTful API design. Hands on experience with AWS services such as Lambda, ECS, S3, RDS. Familiarity with Kubernetes. Knowledge of message queueing systems and event driven architectures. Experience with CI/CD pipelines, source control, and modern development environments. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
A leading financial technology firm in Greater London is seeking a Senior Software Engineer to lead the design and development of its SaaS platform. In this pivotal role, you'll drive technical projects, mentor junior engineers, and optimize cloud infrastructure to prevent financial crime. Ideal candidates will have substantial experience in Java and Python, along with a Bachelor's or Advanced Degree. Enjoy a hybrid working environment with at least three days in the office each week.
Feb 17, 2026
Full time
A leading financial technology firm in Greater London is seeking a Senior Software Engineer to lead the design and development of its SaaS platform. In this pivotal role, you'll drive technical projects, mentor junior engineers, and optimize cloud infrastructure to prevent financial crime. Ideal candidates will have substantial experience in Java and Python, along with a Bachelor's or Advanced Degree. Enjoy a hybrid working environment with at least three days in the office each week.
Im reaching out regarding an urgent contract opportunity for a Senior Snowflake (SVOW) Designer based in London (3 days/week onsite) . Contract Details: Duration: 46 months (extendable) Start: Immediate joiners preferred Location: London (3 days/week) Key Skills Required: Strong hands-on experience with Snowflake and DBT (must be able to articulate use cases delivered) Python for data engineering and orch click apply for full job details
Feb 17, 2026
Contractor
Im reaching out regarding an urgent contract opportunity for a Senior Snowflake (SVOW) Designer based in London (3 days/week onsite) . Contract Details: Duration: 46 months (extendable) Start: Immediate joiners preferred Location: London (3 days/week) Key Skills Required: Strong hands-on experience with Snowflake and DBT (must be able to articulate use cases delivered) Python for data engineering and orch click apply for full job details
End Date Friday 27 February 2026 Salary Range £89,739 - £99,710 Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Data Science Manager SALARY: £89,739 - £99,710 LOCATION(S): London & Bristol HOURS: Full time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this opportunity At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. We're looking for someone to join as a Data Science Manager within our innovative, collaborative and highly-skilled AI, Data & Engineering team in Group Audit (GA). At GA, we see AI as integral to our mission of supporting our purpose and strategy. We have a strategic commitment to harness cutting edge AI and cultivate an AI fluent function. In this role, you will have an opportunity to perform a hands-on and multifaceted role within a skilled and supportive team of data scientists and engineers who are highly visible to senior management, with exposure to the entire Group. You will have a passion for data science and engineering on GCP, strong customer focus, and interest in learning about internal audit. The successful candidate will work across all stages of the data science lifecycle from problem identification to designing and implementing applications that use AI & ML techniques. These will support delivery of our audit plan, provide insights, and drive innovation within Group Audit.You will have the opportunity to: Lead multiple data science and application development projects concurrently with great autonomy. Programming tasks will include designing, implementing, and delivering applications, as well as creating data models and data pipelines in a mixed on premises and Google Cloud Platform environment. Design, build, test, and deploy robust AI/ML and generative AI systems, including cloud native architectures. Ensure solutions are scalable, secure, and production ready within enterprise frameworks. Diagnose complex issues and deliver high quality technical solutions aligned to best practices and standards. Produce specifications, testing approaches, and documentation to support reliable and consistent delivery. Lead other team members and manage stakeholders, acting as a project lead and applying agile project management and software development best practices. Work collaboratively across the audit function to identify innovative opportunities to apply data science techniques for business monitoring, audit planning, and audit delivery. Acquire sufficient levels of auditing and business knowledge, positively impacting the quality of GA's assurance work. Communicate technical concepts in plain, simple language that is easy for non technical stakeholders to understand. Answer queries and provide support to end users for existing utilities. Why Lloyds Banking Group If you think all banks are the same, you'd be wrong. We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What you'll need Experience leading application development and data science projects, involving techniques such as generative AI, machine learning and natural language processing. Experience designing and implementing infrastructure on Google Cloud Platform. The ability to productionise data and AI models for non-technical users while applying best practices in software development and ensuring that key data science, engineering, and programming concepts are applied. Proven ability to translate data science and AI capabilities into measurable business value. Experience at managing peers or more junior colleagues on projects, holding colleagues accountable, ensuring the quality and timeliness of the project delivery, and fostering a culture of collaboration and continuous improvement. Managing stakeholders, communicating in a way that a lay audience can understand. Supporting colleague development with training, coaching and feedback as appropriate to upskill the team and the wider function. Proficient with mainstream data science programming languages, such as Python, and the use of data analytics tools such as SQL and PowerBI. Reviewing complex code and familiarity with version control. Experience in web application development (Django, Bootstrap, jQuery) is desirable. Previous financial services, audit or risk experience is an advantage. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesIf you're excited by the thought of becoming part of our team, get in touch! We'd love to hear from you! At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
Feb 17, 2026
Full time
End Date Friday 27 February 2026 Salary Range £89,739 - £99,710 Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Data Science Manager SALARY: £89,739 - £99,710 LOCATION(S): London & Bristol HOURS: Full time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this opportunity At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. We're looking for someone to join as a Data Science Manager within our innovative, collaborative and highly-skilled AI, Data & Engineering team in Group Audit (GA). At GA, we see AI as integral to our mission of supporting our purpose and strategy. We have a strategic commitment to harness cutting edge AI and cultivate an AI fluent function. In this role, you will have an opportunity to perform a hands-on and multifaceted role within a skilled and supportive team of data scientists and engineers who are highly visible to senior management, with exposure to the entire Group. You will have a passion for data science and engineering on GCP, strong customer focus, and interest in learning about internal audit. The successful candidate will work across all stages of the data science lifecycle from problem identification to designing and implementing applications that use AI & ML techniques. These will support delivery of our audit plan, provide insights, and drive innovation within Group Audit.You will have the opportunity to: Lead multiple data science and application development projects concurrently with great autonomy. Programming tasks will include designing, implementing, and delivering applications, as well as creating data models and data pipelines in a mixed on premises and Google Cloud Platform environment. Design, build, test, and deploy robust AI/ML and generative AI systems, including cloud native architectures. Ensure solutions are scalable, secure, and production ready within enterprise frameworks. Diagnose complex issues and deliver high quality technical solutions aligned to best practices and standards. Produce specifications, testing approaches, and documentation to support reliable and consistent delivery. Lead other team members and manage stakeholders, acting as a project lead and applying agile project management and software development best practices. Work collaboratively across the audit function to identify innovative opportunities to apply data science techniques for business monitoring, audit planning, and audit delivery. Acquire sufficient levels of auditing and business knowledge, positively impacting the quality of GA's assurance work. Communicate technical concepts in plain, simple language that is easy for non technical stakeholders to understand. Answer queries and provide support to end users for existing utilities. Why Lloyds Banking Group If you think all banks are the same, you'd be wrong. We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What you'll need Experience leading application development and data science projects, involving techniques such as generative AI, machine learning and natural language processing. Experience designing and implementing infrastructure on Google Cloud Platform. The ability to productionise data and AI models for non-technical users while applying best practices in software development and ensuring that key data science, engineering, and programming concepts are applied. Proven ability to translate data science and AI capabilities into measurable business value. Experience at managing peers or more junior colleagues on projects, holding colleagues accountable, ensuring the quality and timeliness of the project delivery, and fostering a culture of collaboration and continuous improvement. Managing stakeholders, communicating in a way that a lay audience can understand. Supporting colleague development with training, coaching and feedback as appropriate to upskill the team and the wider function. Proficient with mainstream data science programming languages, such as Python, and the use of data analytics tools such as SQL and PowerBI. Reviewing complex code and familiarity with version control. Experience in web application development (Django, Bootstrap, jQuery) is desirable. Previous financial services, audit or risk experience is an advantage. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesIf you're excited by the thought of becoming part of our team, get in touch! We'd love to hear from you! At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
About the roleWe are looking for an experienced Senior Marketing Scientist to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders. What You'll Do Impact & Analytical Leadership Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies Co-operate with product and credit teams to ensure mid to deep funnel performance is improved. Data Product Involvement Influence data architecture by contributing to schema design that enable more insights Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams' agility Cross-Functional Partnership Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments. Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas. What We're Looking For Core Qualifications 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques. High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R). Hands-on experience with DBT and familiarity with data modelling best practices Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference). Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights. Excellent communication skills with experience influencing cross-functional stakeholders and product leaders. Nice to Have Experience in credit marketing (credit cards, loans, car finance etc.) Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams Experience building or contributing to Marketing Mix Models or incrementality testing frameworks. Familiarity with data instrumentation and schema design in product development cyclesInterview process: Screening call Take home task and cognitive tests Case study Final Interview The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London
Feb 17, 2026
Full time
About the roleWe are looking for an experienced Senior Marketing Scientist to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders. What You'll Do Impact & Analytical Leadership Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies Co-operate with product and credit teams to ensure mid to deep funnel performance is improved. Data Product Involvement Influence data architecture by contributing to schema design that enable more insights Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams' agility Cross-Functional Partnership Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments. Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas. What We're Looking For Core Qualifications 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques. High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R). Hands-on experience with DBT and familiarity with data modelling best practices Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference). Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights. Excellent communication skills with experience influencing cross-functional stakeholders and product leaders. Nice to Have Experience in credit marketing (credit cards, loans, car finance etc.) Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams Experience building or contributing to Marketing Mix Models or incrementality testing frameworks. Familiarity with data instrumentation and schema design in product development cyclesInterview process: Screening call Take home task and cognitive tests Case study Final Interview The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London
A leading biotechnology company seeks an experienced Bioinformatics Scientist to develop and support bioinformatics pipelines and tools. The ideal candidate will have a PhD in a relevant field and at least 3 years of Python development experience. Responsibilities include mentoring junior members and driving project management. This role offers an exciting opportunity to contribute to innovative research in gene editing and modulation. Candidates should be comfortable working in a collaborative Agile environment.
Feb 17, 2026
Full time
A leading biotechnology company seeks an experienced Bioinformatics Scientist to develop and support bioinformatics pipelines and tools. The ideal candidate will have a PhD in a relevant field and at least 3 years of Python development experience. Responsibilities include mentoring junior members and driving project management. This role offers an exciting opportunity to contribute to innovative research in gene editing and modulation. Candidates should be comfortable working in a collaborative Agile environment.
A leading financial services firm in Greater London is seeking Research Engineers to design and optimize their electronic trading platform. Candidates should have a strong passion for technology, programming skills in C++ and Python, and a background in Computer Science or Mathematics. This role offers the opportunity to work on high-performance trading systems in a dynamic environment, allowing real ownership of development projects.
Feb 17, 2026
Full time
A leading financial services firm in Greater London is seeking Research Engineers to design and optimize their electronic trading platform. Candidates should have a strong passion for technology, programming skills in C++ and Python, and a background in Computer Science or Mathematics. This role offers the opportunity to work on high-performance trading systems in a dynamic environment, allowing real ownership of development projects.
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Feb 15, 2026
Full time
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Feb 15, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
Feb 15, 2026
Full time
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
SALARY: Competitive and based on experience and qualifications. LOCATION: Manchester or Glasgow THE POSITION TNEI's Connections team works with a variety of clients to provide consultancy services, primarily in the areas of power system analysis and grid connection studies, including load flow; fault level; dynamic G99/Grid Code compliance studies such as fault ride through, voltage control, and frequency response; power quality assessments including G5/5, EREC P28 and P29; insulation coordination studies; SSO Studies and EMT/RMS Model development. We also perform protection, earthing, and arc flash studies. We combine these skills to deliver comprehensive and leading-edge innovative solutions to our clients. The Connections team has a strong existing workload with an extensive client base. We are looking for a full time Senior Consultant to join our team in Manchester or Glasgow. DUTIES AND RESPONSIBILITIES WILL INCLUDE: Delivering projects to a high level of technical competency. Supporting the preparation of tenders, proposals and submissions. Undertaking project management responsibilities including project planning, resourcing, risk management and budgeting. Peer reviewing reports and other deliverables to ensure consistency, accuracy and that they meet clients' expectations. REQUIREMENTS Essential requirements include: A degree in Electrical Engineering (or equivalent) with 5+ years' relevant industry experience. Excellent technical skills and proven experience of carrying out power system analysis, especially transient and dynamic analysis, protection coordination or earthing design studies. Experience in the use of one or more of the following software packages: IPSA, DIgSILENT Power Factory, PSSE, PSCAD, CDEGS, XGS-Lab or SKM. Strong analytical and problem solving skills. Excellent organisational skills and the ability to multitask and prioritise under pressure of deadlines, while working independently. Excellent written and verbal communications with both technical and non technical personnel. Experience of working in a consultancy environment. Capability in DPL, Python, or other modelling languages. Commercial awareness and pro active in seeking out new business opportunities. TNEI TNEI is a specialist, vibrant consulting company that has been at the forefront of providing expert technical advice to electricity network companies, renewable energy developers, regulators and funding institutions all over the world since it was established in 1999. By nurturing the top talent in the energy industry we've built a solid reputation of developing innovative solutions and solving complex problems associated with achieving net zero. We offer a fast paced learning environment with excellent career development opportunities. Join us and become part of the net zero energy revolution. TNEI staff at the heart of the business TNEI is an Employee Ownership Trust meaning that the people who work in the business directly benefit from and influence the direction and future success of the company. TNEI has always been proud of its inventive and collaborative culture. That culture is at the heart of its success and ensures innovative and novel approaches to supporting and helping solve challenges facing our client base. An Employee Ownership Trust embodies this company culture in which we all feel responsible for the business' performance and success. By remaining independent, the company is able to retain its culture and reputation and allow staff to feel even more connected to the company. Find out what it's like to be part of our team and visit 'life at TNEI' on our website's careers page. Why should you apply? Work life balance: 25 days holiday & a day off to celebrate your birthday Flexible working: Hybrid, core hours & annual alternative working location Career growth: Development opportunities & funded professional memberships Financial rewards: Discretionary annual bonus scheme, employee ownership dividend & pension Family friendly: Enhanced family & carers leave People & Community: Cycle to Work, travel loan, discounts platform, socials & charity matching How to apply Please apply using the 'Apply Now' form on the Careers Page on our website, and upload your CV and covering letter, demonstrating why you are suitable for the role and any previous experience. Closing date for applications: Applications will close on or before the 15 Feb 2026 Successful candidates will be invited to interview on receipt of application. Therefore, if you are planning to apply, we recommend that you do so without delay. Equality, diversity and inclusion TNEI promotes equality, diversity and inclusion in a space where all are respected. Please note we do not accept CV's from recruitment agencies.
Feb 15, 2026
Full time
SALARY: Competitive and based on experience and qualifications. LOCATION: Manchester or Glasgow THE POSITION TNEI's Connections team works with a variety of clients to provide consultancy services, primarily in the areas of power system analysis and grid connection studies, including load flow; fault level; dynamic G99/Grid Code compliance studies such as fault ride through, voltage control, and frequency response; power quality assessments including G5/5, EREC P28 and P29; insulation coordination studies; SSO Studies and EMT/RMS Model development. We also perform protection, earthing, and arc flash studies. We combine these skills to deliver comprehensive and leading-edge innovative solutions to our clients. The Connections team has a strong existing workload with an extensive client base. We are looking for a full time Senior Consultant to join our team in Manchester or Glasgow. DUTIES AND RESPONSIBILITIES WILL INCLUDE: Delivering projects to a high level of technical competency. Supporting the preparation of tenders, proposals and submissions. Undertaking project management responsibilities including project planning, resourcing, risk management and budgeting. Peer reviewing reports and other deliverables to ensure consistency, accuracy and that they meet clients' expectations. REQUIREMENTS Essential requirements include: A degree in Electrical Engineering (or equivalent) with 5+ years' relevant industry experience. Excellent technical skills and proven experience of carrying out power system analysis, especially transient and dynamic analysis, protection coordination or earthing design studies. Experience in the use of one or more of the following software packages: IPSA, DIgSILENT Power Factory, PSSE, PSCAD, CDEGS, XGS-Lab or SKM. Strong analytical and problem solving skills. Excellent organisational skills and the ability to multitask and prioritise under pressure of deadlines, while working independently. Excellent written and verbal communications with both technical and non technical personnel. Experience of working in a consultancy environment. Capability in DPL, Python, or other modelling languages. Commercial awareness and pro active in seeking out new business opportunities. TNEI TNEI is a specialist, vibrant consulting company that has been at the forefront of providing expert technical advice to electricity network companies, renewable energy developers, regulators and funding institutions all over the world since it was established in 1999. By nurturing the top talent in the energy industry we've built a solid reputation of developing innovative solutions and solving complex problems associated with achieving net zero. We offer a fast paced learning environment with excellent career development opportunities. Join us and become part of the net zero energy revolution. TNEI staff at the heart of the business TNEI is an Employee Ownership Trust meaning that the people who work in the business directly benefit from and influence the direction and future success of the company. TNEI has always been proud of its inventive and collaborative culture. That culture is at the heart of its success and ensures innovative and novel approaches to supporting and helping solve challenges facing our client base. An Employee Ownership Trust embodies this company culture in which we all feel responsible for the business' performance and success. By remaining independent, the company is able to retain its culture and reputation and allow staff to feel even more connected to the company. Find out what it's like to be part of our team and visit 'life at TNEI' on our website's careers page. Why should you apply? Work life balance: 25 days holiday & a day off to celebrate your birthday Flexible working: Hybrid, core hours & annual alternative working location Career growth: Development opportunities & funded professional memberships Financial rewards: Discretionary annual bonus scheme, employee ownership dividend & pension Family friendly: Enhanced family & carers leave People & Community: Cycle to Work, travel loan, discounts platform, socials & charity matching How to apply Please apply using the 'Apply Now' form on the Careers Page on our website, and upload your CV and covering letter, demonstrating why you are suitable for the role and any previous experience. Closing date for applications: Applications will close on or before the 15 Feb 2026 Successful candidates will be invited to interview on receipt of application. Therefore, if you are planning to apply, we recommend that you do so without delay. Equality, diversity and inclusion TNEI promotes equality, diversity and inclusion in a space where all are respected. Please note we do not accept CV's from recruitment agencies.
