About Marshmallow We exist to make migration easy. A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way. A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change. If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more. Move our mission, and your career, forward. Pricing at Marshmallow This role sits within the Pricing Team, reporting to the Retail Pricing lead. The team's primary focus is on optimising broker profitability whilst hitting our ambitious growth targets, with the role focused on our Direct channels. This means that the Pricing Team is integral to driving the business forwards. But you've probably read that all before! So what's new? We work in a very different way to most pricing teams that you might be familiar with. Everyone in Pricing has the potential to make a massive contribution to the business, so we all take ownership, move fast, innovate and deliver changes to our rates at high frequency. A fantastic aspect of working at Marshmallow is that we have the backing of our senior leadership team to make decisions and take action autonomously. We're the masters of our own destiny and we aren't tied down with vast amounts of red tape! We analyse, implement, learn and iterate rate changes before most pricing teams have had their Shreddies. You'll also be excited to know that we don't just churn out GLMs all day. We build & deploy exceptional in-house pricing data science models using the latest modelling techniques. You'll work alongside other Pricing Data Scientists & Analysts pushing their innovative pricing projects; whilst also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements. We know first hand what a powerful combination this is! We work alongside a bunch of amazing engineers who ensure we can implement our decisions quickly. We also have access to huge amounts of data. We don't just mean your standard policy, claims and quote data. Our engineers spend their lives building APIs to third parties so that we know more about our customers than any of our competitors. All of this means that you'll have access to as much data as you can handle, the freedom to be creative, the backing of senior leaders to make decisions, and the ability to see your ideas implemented rapidly. In addition to all of that, (in our opinion) we're a pretty fun group to hang around with! What you'll be doing Working with direct channel commercial owners to set the trading strategy Working with marketing, product and engineering to influence product mix Conduct price optimisation analysis and modeling using Python Develop a deep understanding of Marshmallow's quote, policy, and market data, leveraging insights to drive improvements. Effectively communicate and gain buy-in for pricing initiatives from senior stakeholders, including heads of departments and directors. Build and deploy models via APIs for real-time pricing decisions. Collaborate with the wider pricing team to recommend, implement, and monitor pricing changes, ensuring continuous improvement. Identify and evaluate new external data sources to refine our market understanding and enhance pricing accuracy. Work closely with Engineering and ML Engineering teams to implement our pricing strategies efficiently. Engage with the wider data science community on long-term R&D projects that drive innovation in pricing. Who are you? Proactive: You drive growth by identifying & delivering new opportunities Modeller: You use your DS expertise to build innovative best in class models Commercial: You directly use your models as tools to deliver timely real world impact Curious: You aren't satisfied with 'That's just how it is'; you immediately investigate further Owner: You don't just pull existing levers - you own end to end transformation in your area Opinionated: You generate your own opinions & pitch to others in an open & honest way Explainer: You can communicate complicated concepts in a simple way to non-experts Networker: You build and maintain strong relationships throughout the business What skills are we looking for from you? Ability to interrogate data and conduct pricing analysis within SQL & Python Ability to build GBMs and other conversion/demand models within Python At least 3 years of data science experience in a commercial environment Insurance & direct to consumer experience is desirable, but not required. Our Process We break it up into 3 stages: Initial screening call with a member of the TA team An interview with the Lead Pricing data scientist in retail pricing and another member of the pricing team. The purpose of this interview is to assess your background, experience, and technical expertise (90 minutes) A culture interview with a senior stakeholder to check that your work style fits our processes and values (1 hour) We'll let you know if you're invited to an interview or not. But, as a small team with a lot of applications to consider, we can't give personal feedback on each application. Background checks To meet our regulatory obligations as an FCA-authorised financial services company, we need to do some background checks on all new hires. That means carrying out a DBS check and making sure you don't have any live criminal proceedings. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong. Recruitment privacy policy We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.
Dec 16, 2025
Full time
About Marshmallow We exist to make migration easy. A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way. A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change. If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more. Move our mission, and your career, forward. Pricing at Marshmallow This role sits within the Pricing Team, reporting to the Retail Pricing lead. The team's primary focus is on optimising broker profitability whilst hitting our ambitious growth targets, with the role focused on our Direct channels. This means that the Pricing Team is integral to driving the business forwards. But you've probably read that all before! So what's new? We work in a very different way to most pricing teams that you might be familiar with. Everyone in Pricing has the potential to make a massive contribution to the business, so we all take ownership, move fast, innovate and deliver changes to our rates at high frequency. A fantastic aspect of working at Marshmallow is that we have the backing of our senior leadership team to make decisions and take action autonomously. We're the masters of our own destiny and we aren't tied down with vast amounts of red tape! We analyse, implement, learn and iterate rate changes before most pricing teams have had their Shreddies. You'll also be excited to know that we don't just churn out GLMs all day. We build & deploy exceptional in-house pricing data science models using the latest modelling techniques. You'll work alongside other Pricing Data Scientists & Analysts pushing their innovative pricing projects; whilst also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements. We know first hand what a powerful combination this is! We work alongside a bunch of amazing engineers who ensure we can implement our decisions quickly. We also have access to huge amounts of data. We don't just mean your standard policy, claims and quote data. Our engineers spend their lives building APIs to third parties so that we know more about our customers than any of our competitors. All of this means that you'll have access to as much data as you can handle, the freedom to be creative, the backing of senior leaders to make decisions, and the ability to see your ideas implemented rapidly. In addition to all of that, (in our opinion) we're a pretty fun group to hang around with! What you'll be doing Working with direct channel commercial owners to set the trading strategy Working with marketing, product and engineering to influence product mix Conduct price optimisation analysis and modeling using Python Develop a deep understanding of Marshmallow's quote, policy, and market data, leveraging insights to drive improvements. Effectively communicate and gain buy-in for pricing initiatives from senior stakeholders, including heads of departments and directors. Build and deploy models via APIs for real-time pricing decisions. Collaborate with the wider pricing team to recommend, implement, and monitor pricing changes, ensuring continuous improvement. Identify and evaluate new external data sources to refine our market understanding and enhance pricing accuracy. Work closely with Engineering and ML Engineering teams to implement our pricing strategies efficiently. Engage with the wider data science community on long-term R&D projects that drive innovation in pricing. Who are you? Proactive: You drive growth by identifying & delivering new opportunities Modeller: You use your DS expertise to build innovative best in class models Commercial: You directly use your models as tools to deliver timely real world impact Curious: You aren't satisfied with 'That's just how it is'; you immediately investigate further Owner: You don't just pull existing levers - you own end to end transformation in your area Opinionated: You generate your own opinions & pitch to others in an open & honest way Explainer: You can communicate complicated concepts in a simple way to non-experts Networker: You build and maintain strong relationships throughout the business What skills are we looking for from you? Ability to interrogate data and conduct pricing analysis within SQL & Python Ability to build GBMs and other conversion/demand models within Python At least 3 years of data science experience in a commercial environment Insurance & direct to consumer experience is desirable, but not required. Our Process We break it up into 3 stages: Initial screening call with a member of the TA team An interview with the Lead Pricing data scientist in retail pricing and another member of the pricing team. The purpose of this interview is to assess your background, experience, and technical expertise (90 minutes) A culture interview with a senior stakeholder to check that your work style fits our processes and values (1 hour) We'll let you know if you're invited to an interview or not. But, as a small team with a lot of applications to consider, we can't give personal feedback on each application. Background checks To meet our regulatory obligations as an FCA-authorised financial services company, we need to do some background checks on all new hires. That means carrying out a DBS check and making sure you don't have any live criminal proceedings. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong. Recruitment privacy policy We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.
Job Sector: TransportInfrastructureDefenceEnergyCross Sector At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity - We do the right thing, always. Drive - We push boundaries and strive for excellence. Empathy - We care deeply about our people and clients. Adaptability - We embrace change and thrive in it. Loyalty - We stand by each other and our mission. Job Summary. We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high-impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers. Key Responsibilities. Technical Leadership & Architecture: With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions. Research & Development: Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting edge techniques into our technology stack. Contribute to open source projects and represent the company at technical conferences and industry forums. Drive proof of concept initiatives and experimental projects to explore new AI capabilities. Technical Governance & Quality: Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit Learn, Transformers), cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices. Leadership & Collaboration: Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth. Innovation & Problem Solving: Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact. Qualifications & Experience. Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role. Master's or post graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour. Master's or PhD in a technical field requiring statistical rigour. Proven track record of leading the development and deployment of production AI systems at scale. Strong publication record or contributions to open source AI projects preferred. Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB
Dec 13, 2025
Full time
Job Sector: TransportInfrastructureDefenceEnergyCross Sector At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity - We do the right thing, always. Drive - We push boundaries and strive for excellence. Empathy - We care deeply about our people and clients. Adaptability - We embrace change and thrive in it. Loyalty - We stand by each other and our mission. Job Summary. We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high-impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers. Key Responsibilities. Technical Leadership & Architecture: With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions. Research & Development: Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting edge techniques into our technology stack. Contribute to open source projects and represent the company at technical conferences and industry forums. Drive proof of concept initiatives and experimental projects to explore new AI capabilities. Technical Governance & Quality: Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit Learn, Transformers), cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices. Leadership & Collaboration: Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth. Innovation & Problem Solving: Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact. Qualifications & Experience. Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role. Master's or post graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour. Master's or PhD in a technical field requiring statistical rigour. Proven track record of leading the development and deployment of production AI systems at scale. Strong publication record or contributions to open source AI projects preferred. Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB
Your Growth Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. Your Impact You will be part of QuantumBlack Labs and work in a team of software engineers, product managers, data scientists, data engineers and designers to create innovative products and new technologies that accelerate and scale our work in artificial intelligence and machine learning. We hire engineers into multiple product teams (e.g. agentic AI systems, digital twins, advanced analytics platforms). Team placement will depend on your skills and interests. Our teams in QuantumBlack Labs are responsible for designing products that explain complex data landscapes and insights to our users, building frameworks and libraries that enable Data Scientists, Data Engineers, and Machine Learning Engineers to work effectively on large scale, complex projects-including open sourcing some of these frameworks, such as Kedro and ARK-and developing innovative, industry specific AI/ML solutions that embed our distinctive technical approach and business knowledge for enterprise clients. As a Software Engineer II, you will collaborate with interdisciplinary teams to design and deliver innovative solutions. You'll continuously enhance your skills, address user needs, and contribute to building impactful, high quality products that drive real world outcomes. In this role, you will take initiative in your learning and development. You will actively seek opportunities to grow by participating in training, conferences, and hands on projects. With a growing understanding of the investment and return of solutions, you will help create reusable components that accelerate product development across infrastructure, platforms, and services. Your work will have a real world impact by driving innovation and delivering scalable solutions. By collaborating with diverse teams, you will contribute to McKinsey's shift toward asset based consulting, helping to create high value tools that address critical client needs and shape industry leading outcomes. You will join our London or Madrid office and collaborate within cross functional teams to create and develop innovative tools and products by managing workstreams, engaging in discussions, and crafting technical solutions tailored to user needs. Your responsibilities will include working collaboratively in Agile teams through code reviews, pair programming, and iterative delivery, where you will deliver well structured, production quality code, own small to medium features end to end, participate in design discussions with senior engineers, write tests, document code, maintain high reliability, and engage in code reviews while contributing to team best practices. This role offers an exceptional opportunity to grow as a technologist and leader. With McKinsey's global network, leadership development resources, and exposure to cutting edge challenges, you will expand your expertise, collaborate with inspiring teams, and play a key role in advancing technology innovation. Your qualifications and skills Degree in computer science or related field, or equivalent practical experience 2 5+ years of relevant experience Experience building production grade applications in at least one part of the stack (backend, frontend, infra), with willingness to learn others as needed. Ability to deliver features independently, participate in design discussions, and collaborate with senior engineers on system architecture. Experience pair programming collaboratively with other developers Exposure to or interest in working with modern AI systems (LLMs, agent frameworks, cloud deployment). ML experience is a plus but not required. Nice to have: Experience with cloud deployment (Azure/AWS/GCP), containerization (Docker), frontend frameworks (React), CI/CD environments, and interest in agentic systems, LLMs, or workflow automation Demonstrated experience working collaboratively with other developers, as well as technical and non technical people within software team While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, TypeScript/JavaScript, React, Node, Flask, SQL, cloud infra, CI/CD. Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment. Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels.
Dec 13, 2025
Full time
Your Growth Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. Your Impact You will be part of QuantumBlack Labs and work in a team of software engineers, product managers, data scientists, data engineers and designers to create innovative products and new technologies that accelerate and scale our work in artificial intelligence and machine learning. We hire engineers into multiple product teams (e.g. agentic AI systems, digital twins, advanced analytics platforms). Team placement will depend on your skills and interests. Our teams in QuantumBlack Labs are responsible for designing products that explain complex data landscapes and insights to our users, building frameworks and libraries that enable Data Scientists, Data Engineers, and Machine Learning Engineers to work effectively on large scale, complex projects-including open sourcing some of these frameworks, such as Kedro and ARK-and developing innovative, industry specific AI/ML solutions that embed our distinctive technical approach and business knowledge for enterprise clients. As a Software Engineer II, you will collaborate with interdisciplinary teams to design and deliver innovative solutions. You'll continuously enhance your skills, address user needs, and contribute to building impactful, high quality products that drive real world outcomes. In this role, you will take initiative in your learning and development. You will actively seek opportunities to grow by participating in training, conferences, and hands on projects. With a growing understanding of the investment and return of solutions, you will help create reusable components that accelerate product development across infrastructure, platforms, and services. Your work will have a real world impact by driving innovation and delivering scalable solutions. By collaborating with diverse teams, you will contribute to McKinsey's shift toward asset based consulting, helping to create high value tools that address critical client needs and shape industry leading outcomes. You will join our London or Madrid office and collaborate within cross functional teams to create and develop innovative tools and products by managing workstreams, engaging in discussions, and crafting technical solutions tailored to user needs. Your responsibilities will include working collaboratively in Agile teams through code reviews, pair programming, and iterative delivery, where you will deliver well structured, production quality code, own small to medium features end to end, participate in design discussions with senior engineers, write tests, document code, maintain high reliability, and engage in code reviews while contributing to team best practices. This role offers an exceptional opportunity to grow as a technologist and leader. With McKinsey's global network, leadership development resources, and exposure to cutting edge challenges, you will expand your expertise, collaborate with inspiring teams, and play a key role in advancing technology innovation. Your qualifications and skills Degree in computer science or related field, or equivalent practical experience 2 5+ years of relevant experience Experience building production grade applications in at least one part of the stack (backend, frontend, infra), with willingness to learn others as needed. Ability to deliver features independently, participate in design discussions, and collaborate with senior engineers on system architecture. Experience pair programming collaboratively with other developers Exposure to or interest in working with modern AI systems (LLMs, agent frameworks, cloud deployment). ML experience is a plus but not required. Nice to have: Experience with cloud deployment (Azure/AWS/GCP), containerization (Docker), frontend frameworks (React), CI/CD environments, and interest in agentic systems, LLMs, or workflow automation Demonstrated experience working collaboratively with other developers, as well as technical and non technical people within software team While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, TypeScript/JavaScript, React, Node, Flask, SQL, cloud infra, CI/CD. Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment. Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels.
Deliveroo's mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We obsess about building the future of food, whilst using our network as a force for good. Working at Deliveroo is the perfect environment to build an engineering career, driven by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. The Role As part of the Analytics Engineering team, you'll help design, build, and scale the core data and analytics platforms that power decision-making across Deliveroo. You'll work on the systems and tooling that form the foundation of our data ecosystem - ensuring reliability, performance, and a seamless experience for the analytics engineers, data scientists, and business teams who depend on them. As an Analytics Platform Engineer, your focus will be on evolving our core data platform capabilities - from data modelling frameworks and batch/real-time data pipelines to governance solutions. You'll play a key role in automating, optimising, and extending these systems to make data more discoverable, trustworthy, and actionable across the organisation. Key Responsibilities Design, build, and maintain robust data platform components, including pipelines, orchestration, and modelling frameworks Develop automation and tooling that improve efficiency, scalability, and data quality across the analytics stack Enhance and support platform reliability and observability, participating in on-call rotations and proactive issue resolution Support and optimise governance and metadata systems to improve discoverability, trust, and compliance across data assets Partner with analysts, analytics engineers, and data scientists to understand user needs and deliver impactful platform solutions Contribute to the wider engineering community through design reviews, code reviews, documentation, and knowledge sharing, collaborating globally with teams across Deliveroo, DoorDash, and Wolt to define shared data standards and evolve our platform architecture Skillset We want to emphasise that we don't expect you to meet all of the below but we would love for you to have experience in some of the following areas: Proficiency in modern data engineering practices and technologies, including Prefect/Airflow, Python, dbt, Kubernetes, Kafka or similar Experience with Infrastructure as Code (IaC) and cloud-based services e.g deploying infrastructure on AWS using Terraform A deep understanding of data pipelines, orchestration, and data modelling practices A product-oriented mindset, focused on enabling analysts, analytics engineers, and end users to deliver scalable, high-impact data products A proven ability of building scalable, maintainable, and automated data systems that add measurable business value A collaborative, cross-functional approach to problem-solving and system design Curiosity and initiative to explore new technologies and ways of working, especially in a global and evolving environment Expertise in modern, agile software development processes Diversity and Benefits We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are. A competitive and comprehensive compensation and benefits package is offered, including: Competitive pay Annual cash bonus, sign-on bonus or relocation support (depending on role and location) Up to 5% matched pension contributions Share awards (for some roles) Free Deliveroo Plus, team lunches, and other food-related benefits 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo One day of paid leave per year to volunteer with a registered charity Funded single cover healthcare, on-site gym, discounted external gym membership, and access to wellbeing apps Life assurance, maternity, paternity and shared parental leave, and excellent learning and development opportunities
Dec 13, 2025
Full time
Deliveroo's mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We obsess about building the future of food, whilst using our network as a force for good. Working at Deliveroo is the perfect environment to build an engineering career, driven by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. The Role As part of the Analytics Engineering team, you'll help design, build, and scale the core data and analytics platforms that power decision-making across Deliveroo. You'll work on the systems and tooling that form the foundation of our data ecosystem - ensuring reliability, performance, and a seamless experience for the analytics engineers, data scientists, and business teams who depend on them. As an Analytics Platform Engineer, your focus will be on evolving our core data platform capabilities - from data modelling frameworks and batch/real-time data pipelines to governance solutions. You'll play a key role in automating, optimising, and extending these systems to make data more discoverable, trustworthy, and actionable across the organisation. Key Responsibilities Design, build, and maintain robust data platform components, including pipelines, orchestration, and modelling frameworks Develop automation and tooling that improve efficiency, scalability, and data quality across the analytics stack Enhance and support platform reliability and observability, participating in on-call rotations and proactive issue resolution Support and optimise governance and metadata systems to improve discoverability, trust, and compliance across data assets Partner with analysts, analytics engineers, and data scientists to understand user needs and deliver impactful platform solutions Contribute to the wider engineering community through design reviews, code reviews, documentation, and knowledge sharing, collaborating globally with teams across Deliveroo, DoorDash, and Wolt to define shared data standards and evolve our platform architecture Skillset We want to emphasise that we don't expect you to meet all of the below but we would love for you to have experience in some of the following areas: Proficiency in modern data engineering practices and technologies, including Prefect/Airflow, Python, dbt, Kubernetes, Kafka or similar Experience with Infrastructure as Code (IaC) and cloud-based services e.g deploying infrastructure on AWS using Terraform A deep understanding of data pipelines, orchestration, and data modelling practices A product-oriented mindset, focused on enabling analysts, analytics engineers, and end users to deliver scalable, high-impact data products A proven ability of building scalable, maintainable, and automated data systems that add measurable business value A collaborative, cross-functional approach to problem-solving and system design Curiosity and initiative to explore new technologies and ways of working, especially in a global and evolving environment Expertise in modern, agile software development processes Diversity and Benefits We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are. A competitive and comprehensive compensation and benefits package is offered, including: Competitive pay Annual cash bonus, sign-on bonus or relocation support (depending on role and location) Up to 5% matched pension contributions Share awards (for some roles) Free Deliveroo Plus, team lunches, and other food-related benefits 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo One day of paid leave per year to volunteer with a registered charity Funded single cover healthcare, on-site gym, discounted external gym membership, and access to wellbeing apps Life assurance, maternity, paternity and shared parental leave, and excellent learning and development opportunities
About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. About the team you'll join As Principal Computational Chemist, you'll lead the development of cutting-edge computational chemistry pipelines within Aq's Drug Discovery Platform. Collaborating with computational chemists, AI researchers, and drug discovery experts, you'll integrate innovations to accelerate novel therapeutic discovery. About the Role We are seeking a Principal Computational Chemist, the most senior individual contributor rank at Aqemia. This role is designed for a scientist at the state of the art of their field, with deep expertise and a strong track record of impactful contributions. The Principal Computational Chemist will oversee complex scientific projects, mentor scientists, and actively shape our scientific roadmap. This means you will: Be a Technical Leader - Drive the development of cutting-edge computational chemistry methodologies for molecular modeling and drug discovery. Mentor and Support the Team - Act as a scientific and technical mentor to junior and mid-level researchers, fostering innovation and knowledge-sharing within the team. Bridge Research and Application - Work closely with interdisciplinary teams (computational chemistry, AI and drug discovery experts) to translate computational chemistry research into real-world impact. Your Role Lead research initiatives to develop and apply novel computational chemistry methods to virtual screening, hit optimisation and lead optimisation. Design and implement advanced computational chemistry techniques, including protein ligand complex generation. Collaborate with interdisciplinary teams, including computational chemists, AI Research scientists, physicists, data scientists and medicinal chemists. Mentor and guide junior researchers and engineers, fostering a culture of scientific innovation and excellence. Polite note: this position does not involve manual compound design in Drug Discovery Programs. Your Profile PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or a related field. Extensive experience (10+ years) in computational chemistry and drug discovery including 5 years in the drug discovery industry. Recognised expertise in molecular modeling, complex generation, protein-ligand interactions, free energy calculations, virtual screening, ADME properties and related areas. Strong knowledge of uncertainty quantification and its application in molecular design. Proven ability to deliver impactful scientific contributions at the forefront of the field. Experience mentoring and guiding scientists in a collaborative, high-performance environment. Proficiency in programming (e.g., Python) and experience with industry-standard computational chemistry tools. Strong problem-solving skills, autonomy and a collaborative mindset. Preferred Mindset Pragmatic and Impact-Driven - Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability. Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise. Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery. Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment. Humility - Open to feedback and different perspectives, always striving for improvement. Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs. You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models. Real-World Impact Every feature shipped helps scientists prioritize molecules and design better candidates, faster. Modern Stack & Challenges Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale. High Ownership, High Impact Engineers contribute to architecture, tooling, and scientific decision-making. Interdisciplinary Team Collaborate with chemists, physicists, ML researchers, and product teams. Prime Locations Central Paris or London offices, with 2 remote days/week. Strategic Traction Backed by $100M in funding and a $140M partnership with Sanofi. Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
Dec 11, 2025
Full time
About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs in in vivo optimization. We're a team of 65+ based in Paris and London, we bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. About the team you'll join As Principal Computational Chemist, you'll lead the development of cutting-edge computational chemistry pipelines within Aq's Drug Discovery Platform. Collaborating with computational chemists, AI researchers, and drug discovery experts, you'll integrate innovations to accelerate novel therapeutic discovery. About the Role We are seeking a Principal Computational Chemist, the most senior individual contributor rank at Aqemia. This role is designed for a scientist at the state of the art of their field, with deep expertise and a strong track record of impactful contributions. The Principal Computational Chemist will oversee complex scientific projects, mentor scientists, and actively shape our scientific roadmap. This means you will: Be a Technical Leader - Drive the development of cutting-edge computational chemistry methodologies for molecular modeling and drug discovery. Mentor and Support the Team - Act as a scientific and technical mentor to junior and mid-level researchers, fostering innovation and knowledge-sharing within the team. Bridge Research and Application - Work closely with interdisciplinary teams (computational chemistry, AI and drug discovery experts) to translate computational chemistry research into real-world impact. Your Role Lead research initiatives to develop and apply novel computational chemistry methods to virtual screening, hit optimisation and lead optimisation. Design and implement advanced computational chemistry techniques, including protein ligand complex generation. Collaborate with interdisciplinary teams, including computational chemists, AI Research scientists, physicists, data scientists and medicinal chemists. Mentor and guide junior researchers and engineers, fostering a culture of scientific innovation and excellence. Polite note: this position does not involve manual compound design in Drug Discovery Programs. Your Profile PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or a related field. Extensive experience (10+ years) in computational chemistry and drug discovery including 5 years in the drug discovery industry. Recognised expertise in molecular modeling, complex generation, protein-ligand interactions, free energy calculations, virtual screening, ADME properties and related areas. Strong knowledge of uncertainty quantification and its application in molecular design. Proven ability to deliver impactful scientific contributions at the forefront of the field. Experience mentoring and guiding scientists in a collaborative, high-performance environment. Proficiency in programming (e.g., Python) and experience with industry-standard computational chemistry tools. Strong problem-solving skills, autonomy and a collaborative mindset. Preferred Mindset Pragmatic and Impact-Driven - Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability. Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise. Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery. Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment. Humility - Open to feedback and different perspectives, always striving for improvement. Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs. You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics with generative models. Real-World Impact Every feature shipped helps scientists prioritize molecules and design better candidates, faster. Modern Stack & Challenges Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale. High Ownership, High Impact Engineers contribute to architecture, tooling, and scientific decision-making. Interdisciplinary Team Collaborate with chemists, physicists, ML researchers, and product teams. Prime Locations Central Paris or London offices, with 2 remote days/week. Strategic Traction Backed by $100M in funding and a $140M partnership with Sanofi. Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases.
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 09, 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.
