Stantec Consulting International Ltd.
Brighton, Sussex
Stantec's market-leading Environmental Services group supports clients in the environmental, geotechnical, and water sectors. We work with businesses and water companies across the UK and occasionally internationally. You will join a friendly team of over 80 Hydrologists, Hydrogeologists, Water Resources Planners and Water Quality Scientists as part of our wider Water Environment Team. These team projects include enhancing the resilience of the public water supply and reducing the impact of wastewater treatment infrastructure on the water environment, with opportunities to contribute to flood risk modelling, sustainable drainage systems (SuDS) Modelling, and nature-based solutions. As a Senior Hydrologist / Hydraulic Modeller, your project work will likely cover areas including: Flood hydrology and hydraulic modelling studies incorporating the impact of climate change. Completion of Flood Risk Assessments to support planning applications. Low flow assessments and water systems modelling to define the availability of water for supply during droughts. Design and test nature-based solutions to assist with flooding and water quality improvements. Climate change risk assessments of assets or portfolios of assets. You will be expected to have responsibility for: Delivering water resource management, hydrological and hydraulic Modelling, drainage and flood mitigation, and climate impact assessment projects. Managing projects and maintaining client relationships. Assisting with winning work and the development of new business within the water environment team. Providing technical guidance, support and training to junior colleagues and assisting, where practicable, in the mentoring and development of others. Although the remit is national, this role will ideally be based in either our Bristol and Cardiff offices or Leeds and Newcastle. About You You will ideally have skills in hydraulic and hydrological Modelling, factual and interpretative reporting, data management, analysis, and presentation of results. You will hold a degree in a relevant subject, such as environmental science, civil engineering, geography, or another related discipline with a strong hydrology or hydraulics focus. You should have several years' experience in hydrology, flood risk and/or drainage, with a preference for a consultancy background. In particular, you should be able to demonstrate significant technical experience in some or several of the following areas: Preparation of Flood Risk Assessments. Hydraulic Modelling linked 1D-2D modelling packages, e.g. Flood Modeller-TUFLOW, HEC-RAS, MIKE FLOOD, InfoWorks ICM. Completion of fluvial, pluvial and tidal hydraulic modelling projects and the selection and design of flood protection systems. Sustainable Drainage Systems (SuDS) - principals and design (e.g. using WinDes MicroDrainage or Causeway Flow) and green-blue infrastructure planning, Hydrological Modelling through the application of the FEH methods to estimate peak river flows and flood hydrographs using ReFH2 and WINFAP modelling packages. Working with hydrometric data, analysis of gauging station flow and level records, interpretation and development of ratings curves for gauging stations. Calibration of rainfall-runoff models to match observed rainfall data to gauged flow data Low flow studies/droughts assessments. Environmental Impact Assessments - water resources and quality, drainage, flood risk, Water Framework Directive assessments. GIS software (QGIS/ARC), coding (e.g. Python) and database management will also be a valuable asset. Chartered (or near Chartership) with an appropriate professional body. Managing, training and mentoring junior staff. In addition, some experience in the following areas would also be a distinct advantage: Water quality assessments and Modelling (including sediment transport). Quarry or Mining Specific FRAs/FCAs. River restoration studies (e.g. weir removal impact assessments). Water resources assessments. Integrated Catchment Management - i.e. to achieve flood risk and water quality benefits. Climate change impact assessment and adaptation planning. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world-class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact we will talk to you about how we can support you. ReqID: 7328
Dec 18, 2025
Full time
Stantec's market-leading Environmental Services group supports clients in the environmental, geotechnical, and water sectors. We work with businesses and water companies across the UK and occasionally internationally. You will join a friendly team of over 80 Hydrologists, Hydrogeologists, Water Resources Planners and Water Quality Scientists as part of our wider Water Environment Team. These team projects include enhancing the resilience of the public water supply and reducing the impact of wastewater treatment infrastructure on the water environment, with opportunities to contribute to flood risk modelling, sustainable drainage systems (SuDS) Modelling, and nature-based solutions. As a Senior Hydrologist / Hydraulic Modeller, your project work will likely cover areas including: Flood hydrology and hydraulic modelling studies incorporating the impact of climate change. Completion of Flood Risk Assessments to support planning applications. Low flow assessments and water systems modelling to define the availability of water for supply during droughts. Design and test nature-based solutions to assist with flooding and water quality improvements. Climate change risk assessments of assets or portfolios of assets. You will be expected to have responsibility for: Delivering water resource management, hydrological and hydraulic Modelling, drainage and flood mitigation, and climate impact assessment projects. Managing projects and maintaining client relationships. Assisting with winning work and the development of new business within the water environment team. Providing technical guidance, support and training to junior colleagues and assisting, where practicable, in the mentoring and development of others. Although the remit is national, this role will ideally be based in either our Bristol and Cardiff offices or Leeds and Newcastle. About You You will ideally have skills in hydraulic and hydrological Modelling, factual and interpretative reporting, data management, analysis, and presentation of results. You will hold a degree in a relevant subject, such as environmental science, civil engineering, geography, or another related discipline with a strong hydrology or hydraulics focus. You should have several years' experience in hydrology, flood risk and/or drainage, with a preference for a consultancy background. In particular, you should be able to demonstrate significant technical experience in some or several of the following areas: Preparation of Flood Risk Assessments. Hydraulic Modelling linked 1D-2D modelling packages, e.g. Flood Modeller-TUFLOW, HEC-RAS, MIKE FLOOD, InfoWorks ICM. Completion of fluvial, pluvial and tidal hydraulic modelling projects and the selection and design of flood protection systems. Sustainable Drainage Systems (SuDS) - principals and design (e.g. using WinDes MicroDrainage or Causeway Flow) and green-blue infrastructure planning, Hydrological Modelling through the application of the FEH methods to estimate peak river flows and flood hydrographs using ReFH2 and WINFAP modelling packages. Working with hydrometric data, analysis of gauging station flow and level records, interpretation and development of ratings curves for gauging stations. Calibration of rainfall-runoff models to match observed rainfall data to gauged flow data Low flow studies/droughts assessments. Environmental Impact Assessments - water resources and quality, drainage, flood risk, Water Framework Directive assessments. GIS software (QGIS/ARC), coding (e.g. Python) and database management will also be a valuable asset. Chartered (or near Chartership) with an appropriate professional body. Managing, training and mentoring junior staff. In addition, some experience in the following areas would also be a distinct advantage: Water quality assessments and Modelling (including sediment transport). Quarry or Mining Specific FRAs/FCAs. River restoration studies (e.g. weir removal impact assessments). Water resources assessments. Integrated Catchment Management - i.e. to achieve flood risk and water quality benefits. Climate change impact assessment and adaptation planning. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world-class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact we will talk to you about how we can support you. ReqID: 7328
Ellison Institute of Technology
Oxford, Oxfordshire
About EIT The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. EIT is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone's experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. About Economics Economics at EIT is recruiting for a number of outstanding, full-time Post-doctoral Research Fellows dedicated to developing the economic case for transformative solutions to humanity's greatest challenges, using pioneering theoretical and empirical research to support global solutions. This is an exciting opportunity to join a new and rapidly expanding group, under the leadership of Professor Andrew J. Scott, that will tackle frontier issues in the economics of health and work. The EIT offers a stimulating research environment that focuses on both fundamental research as well as applied solutions - rethinking policies, institutions and economic thinking to build the economic foundations for a better future. You will be part of a large and expanding Economics team with strong links to a world-class AI team and access to large-scale datasets. Researchers will have the opportunity to work with a faculty of global academic experts producing research aimed at shaping government policies and creating successful commercial products. You will be part of a cohort of Post-Doctoral Fellows and Pre-Doctoral positions. Positions are full-time and are for one and two-year duration, potentially renewable for further terms, subject to performance, with the option to rotate across projects. With the opportunity to mix with leading academics across a range of institutions and participate in the research networks of academics and policymakers operating out of EIT these positions offer a unique track for establishing credentials for further research or for providing a springboard for a career in policy or business. About the Role The projects cover a range of theoretical and empirical issues with Researchers being allocated depending on their strengths and interests. You will work closely with leading academic and policy experts on the issues and be expected to take the lead on driving research forward and coordinating with Pre-Doctoral Researchers: Empirical modelling of the links between biology, health, disease and economic outcomes (e.g. labour force participation, earnings, occupational choice, retirement, etc). Constructing micro-founded models to evaluate the macroeconomic case for preventative health. Developing effective measures of health using large, novel datasets and identifying key causal factors via quasi-experimental techniques that would deliver effective prevention programmes. Work on theoretical models evaluating the welfare gains of better health, developing measures to improve the allocation of health resources. Using economic approach to develop recommendations to measure and improve health systems productivity. How might AI and robotics and demographic trends affect future economic forecasts for GDP, productivity and employment? What implications might these dynamics and transitions have for public finances? Skills Required A PhD (or due to complete in 2026) in Economics, or related discipline with research relevant to theoretical modelling (micro, macro or health), applied micro econometrics and large data skills. Evidence of intellectual excellence and the ability to work independently. A strong technical skillset - theoretical modelling, econometric application, experience with large datasets, etc. The ability to deliver as part of a wider project team and to coordinate researchers and data work A creative approach to problem-solving and the ability to project manage. Working across broad scientific missions to identify and solve different economics problems. We expect the Post-Doctoral Fellow to pursue independent high-quality research, working closely with senior colleagues in the Economics Department, while fostering collaboration and opportunity for applied economics research across the wider EIT Programmes. We do not require candidates with knowledge of health economics but a general emphasis on economic thinking and strong technical skills that can be applied to specific research projects and more broadly. Application Requirements Applications are welcome from candidates both within the UK and internationally. Please note that any offer of employment is contingent upon the candidate's eligibility to work in the UK. Role Duration Positions are available for one-year and two-year terms. Fellows will be appointed on a full-time basis, with contracts renewable annually. A minimum commitment of two years is strongly preferred. Required Application Materials Curriculum Vitae (CV) Job Market Paper Cover Letter Two Letters of Reference We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!
Dec 18, 2025
Full time
About EIT The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. EIT is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone's experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. About Economics Economics at EIT is recruiting for a number of outstanding, full-time Post-doctoral Research Fellows dedicated to developing the economic case for transformative solutions to humanity's greatest challenges, using pioneering theoretical and empirical research to support global solutions. This is an exciting opportunity to join a new and rapidly expanding group, under the leadership of Professor Andrew J. Scott, that will tackle frontier issues in the economics of health and work. The EIT offers a stimulating research environment that focuses on both fundamental research as well as applied solutions - rethinking policies, institutions and economic thinking to build the economic foundations for a better future. You will be part of a large and expanding Economics team with strong links to a world-class AI team and access to large-scale datasets. Researchers will have the opportunity to work with a faculty of global academic experts producing research aimed at shaping government policies and creating successful commercial products. You will be part of a cohort of Post-Doctoral Fellows and Pre-Doctoral positions. Positions are full-time and are for one and two-year duration, potentially renewable for further terms, subject to performance, with the option to rotate across projects. With the opportunity to mix with leading academics across a range of institutions and participate in the research networks of academics and policymakers operating out of EIT these positions offer a unique track for establishing credentials for further research or for providing a springboard for a career in policy or business. About the Role The projects cover a range of theoretical and empirical issues with Researchers being allocated depending on their strengths and interests. You will work closely with leading academic and policy experts on the issues and be expected to take the lead on driving research forward and coordinating with Pre-Doctoral Researchers: Empirical modelling of the links between biology, health, disease and economic outcomes (e.g. labour force participation, earnings, occupational choice, retirement, etc). Constructing micro-founded models to evaluate the macroeconomic case for preventative health. Developing effective measures of health using large, novel datasets and identifying key causal factors via quasi-experimental techniques that would deliver effective prevention programmes. Work on theoretical models evaluating the welfare gains of better health, developing measures to improve the allocation of health resources. Using economic approach to develop recommendations to measure and improve health systems productivity. How might AI and robotics and demographic trends affect future economic forecasts for GDP, productivity and employment? What implications might these dynamics and transitions have for public finances? Skills Required A PhD (or due to complete in 2026) in Economics, or related discipline with research relevant to theoretical modelling (micro, macro or health), applied micro econometrics and large data skills. Evidence of intellectual excellence and the ability to work independently. A strong technical skillset - theoretical modelling, econometric application, experience with large datasets, etc. The ability to deliver as part of a wider project team and to coordinate researchers and data work A creative approach to problem-solving and the ability to project manage. Working across broad scientific missions to identify and solve different economics problems. We expect the Post-Doctoral Fellow to pursue independent high-quality research, working closely with senior colleagues in the Economics Department, while fostering collaboration and opportunity for applied economics research across the wider EIT Programmes. We do not require candidates with knowledge of health economics but a general emphasis on economic thinking and strong technical skills that can be applied to specific research projects and more broadly. Application Requirements Applications are welcome from candidates both within the UK and internationally. Please note that any offer of employment is contingent upon the candidate's eligibility to work in the UK. Role Duration Positions are available for one-year and two-year terms. Fellows will be appointed on a full-time basis, with contracts renewable annually. A minimum commitment of two years is strongly preferred. Required Application Materials Curriculum Vitae (CV) Job Market Paper Cover Letter Two Letters of Reference We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!
Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. Pretty great, right? We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we've achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we've got big growth plans. Want to join us? About the role. We are looking for an exceptional Data Science Manager to lead and grow our data science capability, driving the development, deployment, and optimisation of machine-learning solutions that support Zilch's mission to deliver responsible, real-time and seamless credit experiences. This is a leadership role that involves line management of experienced data scientists, while staying hands on technically. We are looking for someone who can drive production grade predictive insights across our payments ecosystem and ensure the team delivers measurable business impact. In this role, you will lead a team of data scientists and work closely with product, engineering, risk, operations, and commercial teams to build impactful models that power personalisation, customer engagement, fraud detection, credit decisioning, and growth initiatives. You will ensure our modelling efforts are production ready, robust, ethically sound, and aligned with strategic objectives. This is a hands on leadership role: you will mentor the team, contribute to technical direction, and help ensure successful model deployment and monitoring in a fast moving fintech environment. Role Responsibilities. Lead a high performing Data Science team that ships and owns predictive models in production, focused on payments products, fraud detection, risk modelling, customer analytics, and product optimisation. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to translate business goals into modelling strategies that improve customer outcomes. Coach Data Scientists to become more effective and take on new responsibilities, fostering career growth and technical excellence. Ensure Data Science work aligns with company objectives via a visible, prioritised model backlog with problem statements, baselines and clear business owners. Maintain delivery pace while balancing technical debt, business priorities, and innovation. Implement robust value measurement of key business outcomes to guide product strategy and investment decisions. Oversee version control, CI/CD integration, and automated model lifecycle management. Promote a data driven approach to product development, operational decisions, and customer experience improvements. Continuously improve tools, processes, and ways of working with code review standards, experiment tracking, model cards/docs, and reproducible pipelines for the data team and cross functional stakeholders. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to define high impact modelling priorities, and partner with engineering to deliver and operate production grade ML systems across model serving, feature pipelines, monitoring, drift detection, experimentation, retraining, and A/B or champion challenger tests. Drive improvements to our MLOps approaches to embed production SLOs/SLIs, monitoring and drift, retraining and roll back, and post launch value verification. What we're looking for. Manages through clear objectives and context rather than task based instructions. Strong track record of delivering measurable value in previous roles. Significant experience as an individual contributor data scientist shipping models to production, writing high quality code, and partnering with engineers on serving & monitoring. Able to hold technical conversations at parity with engineers and data scientists. Knowledgeable about AI/ML safety, bias detection, and privacy considerations (PII handling and compliance). Comfortable delivering small, testable increments to production fast, then iterating based on measured outcomes. Champions simplicity and high code quality. Strong knowledge of experimental design, A/B testing, and causal inference. Keeps technical skills sharp while leading a team. Skilled at "telescoping", seeing the big picture, then diving into critical areas of focus. Quickly identifies the root cause when problem solving. Thrives in a fast changing, high growth environment. Embed responsible AI practices through fairness monitoring, transparent model documentation, and alignment with FCA expectations for explainability and data usage. Shape and maintain the modelling roadmap, ensuring prioritisation aligns with product, risk, and commercial outcomes. Technical Skills. Proven strong MLOps practice, including CI/CD, cloud native model training and deployment, model serving, and effective data lifecycle management. Expert proficiency in Python, SQL, and core ML libraries (e.g., Pandas, NumPy, Scikit Learn, XGBoost). Strong experience working with cloud based ML platforms (AWS preferred, e.g., SageMaker). Familiarity with model management and deployment tooling such as Git, MLflow, or CI/CD frameworks. Ways of Working. Clear and concise communicator, able to translate technical concepts for senior leadership and non technical audiences. Outcome oriented, comfortable working in a fast paced and evolving fintech environment. Passionate about scalable solutions, high quality modelling, and responsible AI principles. Leads through empowerment and clarity, while setting a high bar for technical and delivery excellence. Experience with modern data stack tools (DBT, Snowflake, Looker). Exposure to deep learning, LLMs, or advanced ML techniques relevant to fintech. Experience developing near real time scoring pipelines or streaming based ML systems. Interest in emerging technologies (LLMs, reinforcement learning, real time ML, vector search, etc.) and their application in fintech. Benefits. Compensation & Savings: Income Protection. Permanent employees enjoy access to our Share Options Scheme. 5% back on in app purchases. £200 for WFH Setup. Private Medical Insurance including; GP consultations (video, telephone or face to face). Prescribed medication. In patient, day patient and out patient care. Mental health support. Physiotherapy. Advanced cancer cover. Employee Assistance Programme including: Unlimited mental health sessions. 24/7 remote GP & physiotherapy. 24/7 helpline for emotional & practical support. Savings & discounts on everyday shopping. 1:1 personalised well being consultations. Family Friendly Policies: Enhanced maternity pay. Enhanced paternity pay. Enhanced adoption pay. Enhanced shared parental leave. Learning & Development: Professional Qualifications. Professional Memberships. Learning Suite for e courses. Internal Training Programmes. FCA & Regulatory training. Hybrid Working. Casual dress code. Workplace socials. To apply for this role, please submit your CV along with a cover letter. We acknowledge receipt of your resume for a position at Zilch and we appreciate your interest in joining our business. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue to the next stage of the recruitment process. We wish you every success. Zilch Technology is an equal opportunities employer and we encourage all applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, religion or belief. Apply for this Job By submitting this application I agree that I have read the Privacy Policy and confirm that Zilch can store my personal details in order to process my job application. Yes, Zilch can contact me directly about specific future job opportunities.
Dec 18, 2025
Full time
Zilch is a payment tech company on a mission to create the most empowering way to pay for anything, anywhere. Combining the best of debit, credit and savings, we give our customers the option to earn instant cashback or spread the cost of pricier purchases, completely interest free and with no late fees. Pretty great, right? We started in 2018 with a small team and a big dream - to make credit accessible to all. Since then, we've achieved double unicorn status and taken on more than 5 million customers. There are some exciting projects coming up and we've got big growth plans. Want to join us? About the role. We are looking for an exceptional Data Science Manager to lead and grow our data science capability, driving the development, deployment, and optimisation of machine-learning solutions that support Zilch's mission to deliver responsible, real-time and seamless credit experiences. This is a leadership role that involves line management of experienced data scientists, while staying hands on technically. We are looking for someone who can drive production grade predictive insights across our payments ecosystem and ensure the team delivers measurable business impact. In this role, you will lead a team of data scientists and work closely with product, engineering, risk, operations, and commercial teams to build impactful models that power personalisation, customer engagement, fraud detection, credit decisioning, and growth initiatives. You will ensure our modelling efforts are production ready, robust, ethically sound, and aligned with strategic objectives. This is a hands on leadership role: you will mentor the team, contribute to technical direction, and help ensure successful model deployment and monitoring in a fast moving fintech environment. Role Responsibilities. Lead a high performing Data Science team that ships and owns predictive models in production, focused on payments products, fraud detection, risk modelling, customer analytics, and product optimisation. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to translate business goals into modelling strategies that improve customer outcomes. Coach Data Scientists to become more effective and take on new responsibilities, fostering career growth and technical excellence. Ensure Data Science work aligns with company objectives via a visible, prioritised model backlog with problem statements, baselines and clear business owners. Maintain delivery pace while balancing technical debt, business priorities, and innovation. Implement robust value measurement of key business outcomes to guide product strategy and investment decisions. Oversee version control, CI/CD integration, and automated model lifecycle management. Promote a data driven approach to product development, operational decisions, and customer experience improvements. Continuously improve tools, processes, and ways of working with code review standards, experiment tracking, model cards/docs, and reproducible pipelines for the data team and cross functional stakeholders. Work with Product, Risk, Engineering, Operations, and commercial stakeholders to define high impact modelling priorities, and partner with engineering to deliver and operate production grade ML systems across model serving, feature pipelines, monitoring, drift detection, experimentation, retraining, and A/B or champion challenger tests. Drive improvements to our MLOps approaches to embed production SLOs/SLIs, monitoring and drift, retraining and roll back, and post launch value verification. What we're looking for. Manages through clear objectives and context rather than task based instructions. Strong track record of delivering measurable value in previous roles. Significant experience as an individual contributor data scientist shipping models to production, writing high quality code, and partnering with engineers on serving & monitoring. Able to hold technical conversations at parity with engineers and data scientists. Knowledgeable about AI/ML safety, bias detection, and privacy considerations (PII handling and compliance). Comfortable delivering small, testable increments to production fast, then iterating based on measured outcomes. Champions simplicity and high code quality. Strong knowledge of experimental design, A/B testing, and causal inference. Keeps technical skills sharp while leading a team. Skilled at "telescoping", seeing the big picture, then diving into critical areas of focus. Quickly identifies the root cause when problem solving. Thrives in a fast changing, high growth environment. Embed responsible AI practices through fairness monitoring, transparent model documentation, and alignment with FCA expectations for explainability and data usage. Shape and maintain the modelling roadmap, ensuring prioritisation aligns with product, risk, and commercial outcomes. Technical Skills. Proven strong MLOps practice, including CI/CD, cloud native model training and deployment, model serving, and effective data lifecycle management. Expert proficiency in Python, SQL, and core ML libraries (e.g., Pandas, NumPy, Scikit Learn, XGBoost). Strong experience working with cloud based ML platforms (AWS preferred, e.g., SageMaker). Familiarity with model management and deployment tooling such as Git, MLflow, or CI/CD frameworks. Ways of Working. Clear and concise communicator, able to translate technical concepts for senior leadership and non technical audiences. Outcome oriented, comfortable working in a fast paced and evolving fintech environment. Passionate about scalable solutions, high quality modelling, and responsible AI principles. Leads through empowerment and clarity, while setting a high bar for technical and delivery excellence. Experience with modern data stack tools (DBT, Snowflake, Looker). Exposure to deep learning, LLMs, or advanced ML techniques relevant to fintech. Experience developing near real time scoring pipelines or streaming based ML systems. Interest in emerging technologies (LLMs, reinforcement learning, real time ML, vector search, etc.) and their application in fintech. Benefits. Compensation & Savings: Income Protection. Permanent employees enjoy access to our Share Options Scheme. 5% back on in app purchases. £200 for WFH Setup. Private Medical Insurance including; GP consultations (video, telephone or face to face). Prescribed medication. In patient, day patient and out patient care. Mental health support. Physiotherapy. Advanced cancer cover. Employee Assistance Programme including: Unlimited mental health sessions. 24/7 remote GP & physiotherapy. 24/7 helpline for emotional & practical support. Savings & discounts on everyday shopping. 1:1 personalised well being consultations. Family Friendly Policies: Enhanced maternity pay. Enhanced paternity pay. Enhanced adoption pay. Enhanced shared parental leave. Learning & Development: Professional Qualifications. Professional Memberships. Learning Suite for e courses. Internal Training Programmes. FCA & Regulatory training. Hybrid Working. Casual dress code. Workplace socials. To apply for this role, please submit your CV along with a cover letter. We acknowledge receipt of your resume for a position at Zilch and we appreciate your interest in joining our business. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue to the next stage of the recruitment process. We wish you every success. Zilch Technology is an equal opportunities employer and we encourage all applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, religion or belief. Apply for this Job By submitting this application I agree that I have read the Privacy Policy and confirm that Zilch can store my personal details in order to process my job application. Yes, Zilch can contact me directly about specific future job opportunities.
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 09, 2025
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
