The Acorn Group is a fast-growing insurance business. A best kept secret to many in the market - it operates with a fast-decision making culture and can-do attitude. The group consists of Acorn (broker), Granite (MGA and wholesale), Haven (underwriter) and this integrated model is a huge strength in the specialist market. Its core products are specialist private car, taxi, commercial vehicles, and telematics, with the Group also including a number of start-up and scale-up businesses, including a specialist home insurance business. With £750m+ GWP today and better returns than the market, it is establishing itself as the leading specialist motor insurance business in the UK and has plans to replicate this success within the home insurance market. Launched in 2017, Acorn's Home Insurance business is a rapidly growing scale-up business, with c.50k customers and c.£15m GWP currently, and a history of profitability despite small scale and recent growth rates. The Home business has a huge amount of untapped potential, with a recently appointed General Manager and significant investment in the business, including its tech platforms, planned over the next 12 months and beyond. We are looking for a talented Pricing professional to join our growing Home team. Reporting to the Household General Manager, this role represents a substantial opportunity for an enthusiastic and bright pricing expert at a senior analyst or junior manager level to step into a role where they are encouraged to take substantial ownership of analyses and help to shape the pricing structure of the product. Job Title Pricing Data Scientist Location Liverpool City Centre OR London Salary £Competitive Depending on experience Working hours 37.5 hours per week, Monday to Friday What you will be doing: Producing rigorous analyses for the Home General Manager, produced to a high standard and requiring only light-touch technical review. Proactively making recommendations for rating action and further steps based on own observations from analyses and wider business and technical understanding. Understanding and presenting the most relevant views from the data analysed, given the relevant context and brief from stakeholders. Conducting all elements of the role with commercial pragmatism in mind, including: Understanding and presenting the most relevant views and metrics from analysis with minimal additional prompting. Balancing technical best practice with speed to market and trading conditions considerations. Prioritise competing directions effectively based on likely additional value provided to the business. Collaborating proactively with the MI and Database teams to enhance the suite of BAU views and data available to understand and maintain the Home product. What we are looking for: Insightful, curious, and concise - prioritises understanding and cuts to the heart of the issue. Level-headed and pragmatic; solutions-minded with an eye for nuance and detail. Natural desire to act at pace and use initiative while maintaining high standards. Background in personal lines insurance pricing; experience of multiple aspects (risk, demand, market/street pricing, expenses), the UK market, and specific Household experience are both advantages. Technically capable, with strong statistical understanding and experience of leveraging machine learning for production and analysis. Python and SQL experience are both beneficial. Excellent pattern recognition with proven ability to deduce why a pattern is occurring. High-level bachelor's degree in a numerate discipline or evidence of equivalent proficiency by experience. Benefits Maximum 35 days' holiday (depending on role and tenure) including bank holidays, with additional buy/sell options. 24/7 mental health support and free counselling available. Flexible benefits, including early access to salary via our internal platform. Hybrid working options to support work-life balance and individual needs. Commitments to Colleagues Mindful Employer - championing mental health and wellbeing. Disability Confident Level 1 & 2 - creating accessible, inclusive opportunities. Menopause Friendly accredited - supporting every stage of life. Armed Forces Covenant signatory - honouring those who serve. Armed Forces Defence employer recognition scheme - Supporting those who serve. Great Places to Work 2024/25 - fostering an engaging and positive workplace culture. Best Place to Work for Development - proud to be investing in people's future. Best Place to Work for Women - breaking down barriers to women's career progression. A Few Things to Know Before You Apply If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements Because our training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support, we'll work with you to make sure you can do your best work.
17/06/2026
Full time
The Acorn Group is a fast-growing insurance business. A best kept secret to many in the market - it operates with a fast-decision making culture and can-do attitude. The group consists of Acorn (broker), Granite (MGA and wholesale), Haven (underwriter) and this integrated model is a huge strength in the specialist market. Its core products are specialist private car, taxi, commercial vehicles, and telematics, with the Group also including a number of start-up and scale-up businesses, including a specialist home insurance business. With £750m+ GWP today and better returns than the market, it is establishing itself as the leading specialist motor insurance business in the UK and has plans to replicate this success within the home insurance market. Launched in 2017, Acorn's Home Insurance business is a rapidly growing scale-up business, with c.50k customers and c.£15m GWP currently, and a history of profitability despite small scale and recent growth rates. The Home business has a huge amount of untapped potential, with a recently appointed General Manager and significant investment in the business, including its tech platforms, planned over the next 12 months and beyond. We are looking for a talented Pricing professional to join our growing Home team. Reporting to the Household General Manager, this role represents a substantial opportunity for an enthusiastic and bright pricing expert at a senior analyst or junior manager level to step into a role where they are encouraged to take substantial ownership of analyses and help to shape the pricing structure of the product. Job Title Pricing Data Scientist Location Liverpool City Centre OR London Salary £Competitive Depending on experience Working hours 37.5 hours per week, Monday to Friday What you will be doing: Producing rigorous analyses for the Home General Manager, produced to a high standard and requiring only light-touch technical review. Proactively making recommendations for rating action and further steps based on own observations from analyses and wider business and technical understanding. Understanding and presenting the most relevant views from the data analysed, given the relevant context and brief from stakeholders. Conducting all elements of the role with commercial pragmatism in mind, including: Understanding and presenting the most relevant views and metrics from analysis with minimal additional prompting. Balancing technical best practice with speed to market and trading conditions considerations. Prioritise competing directions effectively based on likely additional value provided to the business. Collaborating proactively with the MI and Database teams to enhance the suite of BAU views and data available to understand and maintain the Home product. What we are looking for: Insightful, curious, and concise - prioritises understanding and cuts to the heart of the issue. Level-headed and pragmatic; solutions-minded with an eye for nuance and detail. Natural desire to act at pace and use initiative while maintaining high standards. Background in personal lines insurance pricing; experience of multiple aspects (risk, demand, market/street pricing, expenses), the UK market, and specific Household experience are both advantages. Technically capable, with strong statistical understanding and experience of leveraging machine learning for production and analysis. Python and SQL experience are both beneficial. Excellent pattern recognition with proven ability to deduce why a pattern is occurring. High-level bachelor's degree in a numerate discipline or evidence of equivalent proficiency by experience. Benefits Maximum 35 days' holiday (depending on role and tenure) including bank holidays, with additional buy/sell options. 24/7 mental health support and free counselling available. Flexible benefits, including early access to salary via our internal platform. Hybrid working options to support work-life balance and individual needs. Commitments to Colleagues Mindful Employer - championing mental health and wellbeing. Disability Confident Level 1 & 2 - creating accessible, inclusive opportunities. Menopause Friendly accredited - supporting every stage of life. Armed Forces Covenant signatory - honouring those who serve. Armed Forces Defence employer recognition scheme - Supporting those who serve. Great Places to Work 2024/25 - fostering an engaging and positive workplace culture. Best Place to Work for Development - proud to be investing in people's future. Best Place to Work for Women - breaking down barriers to women's career progression. A Few Things to Know Before You Apply If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements Because our training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support, we'll work with you to make sure you can do your best work.
A tech-driven insurance company in Greater London is seeking a Data Analyst to enhance pricing strategies using SQL and Python. You'll communicate findings to senior leaders and collaborate across teams. Ideal candidates are proactive, technical, and have a STEM background or data science experience. The position offers hybrid work, competitive bonuses, and a flexible benefits budget, supporting a strong culture of mental wellbeing and continued learning.
17/06/2026
Full time
A tech-driven insurance company in Greater London is seeking a Data Analyst to enhance pricing strategies using SQL and Python. You'll communicate findings to senior leaders and collaborate across teams. Ideal candidates are proactive, technical, and have a STEM background or data science experience. The position offers hybrid work, competitive bonuses, and a flexible benefits budget, supporting a strong culture of mental wellbeing and continued learning.
We exist to make migration easy. Every year, millions of people move to a new country and find themselves cut off from essential financial services. We built our own technology to change that, insuring millions of drivers and lending millions in loans. But we're not standing still. Our ambitions are huge, and we need exceptional people to supercharge our growth and shape what comes next. Marshmallow is a place for do-ers. People who are tenacious, hungry for ownership, and unfazed by complexity. But collective success always comes first - people here win and grow together. Pricing at Marshmallow Pricing at Marshmallow is where the mission gets real - delivering unbeatable prices that make migration easy. You'll work with vast, proprietary data, cutting-edge models, and engineers who can implement your ideas fast. Ownership isn't a buzzword here - you'll have the autonomy to make decisions and the senior backing to act on them. This is a team that moves fast, challenges assumptions, and delivers change at high frequency. What you'll be doing Develop a deep understanding of Marshmallow's quote, policy, and claims data to derive insights that enhance pricing strategies. Contribute to key pricing initiatives, including expansion plans and customer retention efforts. Communicate analytical findings effectively to senior leaders and cross-functional teams. Conduct data analysis using SQL and Python to drive decision-making. Support the deployment of models in APIs for real-time pricing applications. Collaborate with pricing team members to recommend changes and track their impact. Assess new external data sources to refine claims risk evaluation and quantify their value. Monitoring the performance of our business and contributing to our governance and control processes such as reviewing business mix and segmental loss ratio performance. Work closely with Engineering and ML Engineering teams to implement pricing strategies. Who are you? Proactive: You want to drive growth by identifying new opportunities and take ownership to drive change Technical: You aren't afraid to learn new skills across Data Science & Insurance Commercial: You want to deliver real world impact, not report on it Curious: You aren't satisfied with 'That's just how it is'; you immediately investigate further 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 What skills are we looking for from you? Ability to interrogate data and conduct pricing analysis within SQL & Python Ability to build GLMs, GBMs and other models within Python Prior experience in a data science role or STEM degree Our Process We break it up into 3 stages: Initial screening call with a member of the TA team (30 mins) Past experience interview with our VP Insurance(60 minutes) A technical interview (90 mins) A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins) Perks of the job Hybrid working - Spend 2-3 days with the team in our collaborative London office, and own your own working hours. The rest is up to you. Competitive bonus scheme - designed to reward and recognise high performance. Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes. Mental wellbeing support - Access therapy and mental health sessions through Oliva. Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset. Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches. Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less. Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month! Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. 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.
17/06/2026
Full time
We exist to make migration easy. Every year, millions of people move to a new country and find themselves cut off from essential financial services. We built our own technology to change that, insuring millions of drivers and lending millions in loans. But we're not standing still. Our ambitions are huge, and we need exceptional people to supercharge our growth and shape what comes next. Marshmallow is a place for do-ers. People who are tenacious, hungry for ownership, and unfazed by complexity. But collective success always comes first - people here win and grow together. Pricing at Marshmallow Pricing at Marshmallow is where the mission gets real - delivering unbeatable prices that make migration easy. You'll work with vast, proprietary data, cutting-edge models, and engineers who can implement your ideas fast. Ownership isn't a buzzword here - you'll have the autonomy to make decisions and the senior backing to act on them. This is a team that moves fast, challenges assumptions, and delivers change at high frequency. What you'll be doing Develop a deep understanding of Marshmallow's quote, policy, and claims data to derive insights that enhance pricing strategies. Contribute to key pricing initiatives, including expansion plans and customer retention efforts. Communicate analytical findings effectively to senior leaders and cross-functional teams. Conduct data analysis using SQL and Python to drive decision-making. Support the deployment of models in APIs for real-time pricing applications. Collaborate with pricing team members to recommend changes and track their impact. Assess new external data sources to refine claims risk evaluation and quantify their value. Monitoring the performance of our business and contributing to our governance and control processes such as reviewing business mix and segmental loss ratio performance. Work closely with Engineering and ML Engineering teams to implement pricing strategies. Who are you? Proactive: You want to drive growth by identifying new opportunities and take ownership to drive change Technical: You aren't afraid to learn new skills across Data Science & Insurance Commercial: You want to deliver real world impact, not report on it Curious: You aren't satisfied with 'That's just how it is'; you immediately investigate further 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 What skills are we looking for from you? Ability to interrogate data and conduct pricing analysis within SQL & Python Ability to build GLMs, GBMs and other models within Python Prior experience in a data science role or STEM degree Our Process We break it up into 3 stages: Initial screening call with a member of the TA team (30 mins) Past experience interview with our VP Insurance(60 minutes) A technical interview (90 mins) A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins) Perks of the job Hybrid working - Spend 2-3 days with the team in our collaborative London office, and own your own working hours. The rest is up to you. Competitive bonus scheme - designed to reward and recognise high performance. Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes. Mental wellbeing support - Access therapy and mental health sessions through Oliva. Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset. Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches. Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less. Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month! Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. 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.
Applications processed via employer's online application form At Allstate in Northern Ireland, we're not just keeping pace - we're setting it. As Al At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team As a Data Scientist in Allstate's AI Risk, Governance and Research area, you'll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle-from data collection and exploratory analysis to model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments. You'll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents. As a team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project team. Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision-making. Reviews and discusses AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback. Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders. Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches. Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes. All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. A minimum 3 years of hands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch). Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals. Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK). Interest in or exposure to risk management or AI governance concepts. Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on the job experience. Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources. Familiarity with building no code/low code agents using M365. A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent). Supervisory Responsibilities This job does not have supervisory duties. Skills AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model What do you get in return? As well as receiving a competitive annual salary, our reward package includes: Annual performance related pay reviews Life assurance and income protection Flexible working options Private medical and dental insurance Access to an employee assistance programme Discounted gym membership Two paid volunteering days each year Cycle to work scheme Be part of a high performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.
17/06/2026
Full time
Applications processed via employer's online application form At Allstate in Northern Ireland, we're not just keeping pace - we're setting it. As Al At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team As a Data Scientist in Allstate's AI Risk, Governance and Research area, you'll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle-from data collection and exploratory analysis to model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments. You'll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents. As a team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project team. Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision-making. Reviews and discusses AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback. Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders. Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches. Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes. All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. A minimum 3 years of hands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch). Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals. Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK). Interest in or exposure to risk management or AI governance concepts. Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on the job experience. Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources. Familiarity with building no code/low code agents using M365. A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent). Supervisory Responsibilities This job does not have supervisory duties. Skills AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model What do you get in return? As well as receiving a competitive annual salary, our reward package includes: Annual performance related pay reviews Life assurance and income protection Flexible working options Private medical and dental insurance Access to an employee assistance programme Discounted gym membership Two paid volunteering days each year Cycle to work scheme Be part of a high performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
17/06/2026
Full time
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
17/06/2026
Full time
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
17/06/2026
Full time
Principal Data Scientist & Machine Learning ResearcherApplylocations: Gloucester, South Gloucestershire: Manchester, Lancashire: London, Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project proposals. Experience of managing teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions. Desirable PhD. or Masters degree highlighting experience of academic research. Experience of deploying AI models in a scalable way for external users. Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Responsibilities Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement. Bring ideas for novel research that will drive competitive advantage in across our customer community. Work with autonomy to develop complex, novel data science solutions. Support in triaging and responding to opportunities, aligning to the group and wider business strategies. Design and deliver data-centric solutions while working collaboratively across disciplines. Technical delivery of research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership across multiple projects. Manage more junior team members across the SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year.
What's the opportunity? We're looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You'll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We're particularly interested in engineers who have: A track record of working on model training or model inference at scale, or on low level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low latency, high reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we're looking for: These are indicative, not hard requirements. We're looking to hire Senior+ AI Infrastructure Engineers. You're likely a great fit if: You have 5+ years of experience in software engineering, with a strong track record of shipping high quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low level GPU work, such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non engineers. You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they're nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI native product companies). Experience running training or inference workloads on Kubernetes. Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Unlimited access to Claude Code and best in class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed.
16/06/2026
Full time
What's the opportunity? We're looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You'll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We're particularly interested in engineers who have: A track record of working on model training or model inference at scale, or on low level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low latency, high reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we're looking for: These are indicative, not hard requirements. We're looking to hire Senior+ AI Infrastructure Engineers. You're likely a great fit if: You have 5+ years of experience in software engineering, with a strong track record of shipping high quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low level GPU work, such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non engineers. You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they're nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI native product companies). Experience running training or inference workloads on Kubernetes. Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Unlimited access to Claude Code and best in class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed.
United States Digital Space LLC is seeking a Data Scientist to join their Research, Analytics & Data Science team. The role focuses on leveraging data to support product strategy and enhance customer understanding. Candidates should have a minimum of 5 years of experience in data analysis and strong SQL skills. Key responsibilities include designing data pipelines, collaborating with product teams, and utilizing AI tools to drive insights. Benefits include competitive salary, flexible holidays, and comprehensive health insurance.
16/06/2026
Full time
United States Digital Space LLC is seeking a Data Scientist to join their Research, Analytics & Data Science team. The role focuses on leveraging data to support product strategy and enhance customer understanding. Candidates should have a minimum of 5 years of experience in data analysis and strong SQL skills. Key responsibilities include designing data pipelines, collaborating with product teams, and utilizing AI tools to drive insights. Benefits include competitive salary, flexible holidays, and comprehensive health insurance.
United States Digital Space LLC in Greater London is looking for a data-driven professional to join the Research, Analytics & Data Science (RAD) team. The role requires designing AI-powered internal tools, collaborating closely with GTM Systems, and delivering measurable business impact through data-driven decisions. Key responsibilities include owning the full lifecycle of tools, from design to production, and working in a hybrid policy environment that fosters communication and collaboration. Benefits include competitive salary, flexible holidays, and health insurance, making it a rewarding opportunity in a fast-growing start-up.
16/06/2026
Full time
United States Digital Space LLC in Greater London is looking for a data-driven professional to join the Research, Analytics & Data Science (RAD) team. The role requires designing AI-powered internal tools, collaborating closely with GTM Systems, and delivering measurable business impact through data-driven decisions. Key responsibilities include owning the full lifecycle of tools, from design to production, and working in a hybrid policy environment that fosters communication and collaboration. Benefits include competitive salary, flexible holidays, and health insurance, making it a rewarding opportunity in a fast-growing start-up.
Aurora Energy Research Limited
Oxford, Oxfordshire
Senior Software Engineer (AI) Department: Tech - AI and Data Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval) Aurora helps governments, investors, and utilities make billion dollar decisions on the journey to net zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud based software to track and model power grids around the world. As a Senior Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools, to navigate large, multi dimensional, fast evolving data. Your work will amplify the value of Aurora's data, models, and forecasts to researchers, investors, and policy makers around the world, and directly impact the decisions that drive the decarbonisation of grids around the world. You will work in a small, fast paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team player, and a proven ability to take big projects from conception to production. Key Responsibilities Manage a team of Software Engineers and Data Scientists Own projects from end to end, from first conversations with users through to production systems Work with modelling and data teams to embed proprietary insights into production systems Deploy agentic systems that enable fast, multi dimensional, data driven decisions Skills, Knowledge and Expertise Required attributes: 10+ years developing impactful, mission critical backend systems The ability to work in fast paced, high ownership environments Excellence in one or more language (we mostly use Python) Strong discipline in testing and automation Experienced, judicious user of AI coding tools Previous experience managing teams of 5+ engineers An exceptional team player - low ego, high initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands on experience building LLM based systems Experience testing non deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.
16/06/2026
Full time
Senior Software Engineer (AI) Department: Tech - AI and Data Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval) Aurora helps governments, investors, and utilities make billion dollar decisions on the journey to net zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud based software to track and model power grids around the world. As a Senior Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools, to navigate large, multi dimensional, fast evolving data. Your work will amplify the value of Aurora's data, models, and forecasts to researchers, investors, and policy makers around the world, and directly impact the decisions that drive the decarbonisation of grids around the world. You will work in a small, fast paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team player, and a proven ability to take big projects from conception to production. Key Responsibilities Manage a team of Software Engineers and Data Scientists Own projects from end to end, from first conversations with users through to production systems Work with modelling and data teams to embed proprietary insights into production systems Deploy agentic systems that enable fast, multi dimensional, data driven decisions Skills, Knowledge and Expertise Required attributes: 10+ years developing impactful, mission critical backend systems The ability to work in fast paced, high ownership environments Excellence in one or more language (we mostly use Python) Strong discipline in testing and automation Experienced, judicious user of AI coding tools Previous experience managing teams of 5+ engineers An exceptional team player - low ego, high initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands on experience building LLM based systems Experience testing non deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
15/06/2026
Full time
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 135 million monthly visits and £6.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we are a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing the Trainline Data Analytics Team Data Analytics is central to how we build better products, support our customers and grow our business. Our Data Analysts are embedded across cross-functional teams spanning product, commercial and industry initiatives, working closely with Product Managers, Software Engineers, Commercial teams, Embedded Data Scientists and the wider Data organisation to enable confident, evidence-based decision making. As a Data Analyst in the Retail Innovation team, you will help shape the future of rail travel by evaluating new ticketing models, customer experiences and industry programmes. You will bring analytical rigour, curiosity and clear communication to complex questions, turning large and sometimes ambiguous datasets into actionable insight for internal teams, senior stakeholders, external partners, operators and the wider rail ecosystem. In this role as the Data Analyst, you will Analyse customer behaviour, revenue, usage patterns and business outcomes to evaluate new initiatives and industry programmes. Support the design, measurement and evaluation of trials and pilots, helping teams understand their impact on customers, operators and the wider rail ecosystem. Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences. Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions. Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets. Collaborate across Data, Product, Commercial and external partner teams to ensure insight is embedded into decision making from early exploration through to delivery. Help define how we measure success for new ticketing approaches, retail innovation initiatives and wider industry changes. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. We'd love to hear from you if you have Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement. Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis. The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations. Experience communicating insight to a range of audiences, including senior stakeholders and colleagues from technical and non-technical backgrounds. Strong data visualisation skills, ideally using tools such as Tableau, Power BI or similar. A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on. Strong organisational skills, with the ability to manage multiple analytical workstreams and balance competing priorities. Ideally, experience with dbt or modern data transformation workflows, and exposure to analysing experiments, pilots or trials. Introducing the Trainline Data Analytics Team Data Analytics is central to how we build better products, support our customers and grow our business. Our Data Analysts are embedded across cross-functional teams spanning product, commercial and industry initiatives, working closely with Product Managers, Software Engineers, Commercial teams, Embedded Data Scientists and the wider Data organisation to enable confident, evidence-based decision making. As a Data Analyst in the Travel & Disruption team, you will help us build a better travel proposition for our customers. You'll use data to understand how customers engage with our travel features throughout their journey, helping teams make better decisions that improve the travel experience. Whether customers are enjoying a seamless journey or navigating unexpected disruption, your insights will help shape products and services that make rail travel easier, more reliable and more rewarding for millions of customers. In this role as the Data Analyst, you will Analyse customer behaviour in relation to our travel products. Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences. Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions. Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets. Collaborate across Data, Product and Design to ensure insight is embedded into decision making from early exploration through to delivery. Help define how we measure success in the Travel space. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. We'd love to hear from you if you have Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement. Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis. The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations. Experience communicating insight to a range of audiences, including senior stakeholders and colleagues from technical and non-technical backgrounds. Strong data visualisation skills, ideally using tools such as Tableau, Power BI or similar. A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on. Strong organisational skills, with the ability to manage multiple analytical work streams and balance competing priorities. Ideally, experience with DBT or modern data transformation workflows, and exposure to analysing experiments, pilots or trials. More information Enjoy fantastic perks like private healthcare and dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
15/06/2026
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 135 million monthly visits and £6.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we are a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing the Trainline Data Analytics Team Data Analytics is central to how we build better products, support our customers and grow our business. Our Data Analysts are embedded across cross-functional teams spanning product, commercial and industry initiatives, working closely with Product Managers, Software Engineers, Commercial teams, Embedded Data Scientists and the wider Data organisation to enable confident, evidence-based decision making. As a Data Analyst in the Retail Innovation team, you will help shape the future of rail travel by evaluating new ticketing models, customer experiences and industry programmes. You will bring analytical rigour, curiosity and clear communication to complex questions, turning large and sometimes ambiguous datasets into actionable insight for internal teams, senior stakeholders, external partners, operators and the wider rail ecosystem. In this role as the Data Analyst, you will Analyse customer behaviour, revenue, usage patterns and business outcomes to evaluate new initiatives and industry programmes. Support the design, measurement and evaluation of trials and pilots, helping teams understand their impact on customers, operators and the wider rail ecosystem. Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences. Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions. Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets. Collaborate across Data, Product, Commercial and external partner teams to ensure insight is embedded into decision making from early exploration through to delivery. Help define how we measure success for new ticketing approaches, retail innovation initiatives and wider industry changes. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. We'd love to hear from you if you have Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement. Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis. The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations. Experience communicating insight to a range of audiences, including senior stakeholders and colleagues from technical and non-technical backgrounds. Strong data visualisation skills, ideally using tools such as Tableau, Power BI or similar. A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on. Strong organisational skills, with the ability to manage multiple analytical workstreams and balance competing priorities. Ideally, experience with dbt or modern data transformation workflows, and exposure to analysing experiments, pilots or trials. Introducing the Trainline Data Analytics Team Data Analytics is central to how we build better products, support our customers and grow our business. Our Data Analysts are embedded across cross-functional teams spanning product, commercial and industry initiatives, working closely with Product Managers, Software Engineers, Commercial teams, Embedded Data Scientists and the wider Data organisation to enable confident, evidence-based decision making. As a Data Analyst in the Travel & Disruption team, you will help us build a better travel proposition for our customers. You'll use data to understand how customers engage with our travel features throughout their journey, helping teams make better decisions that improve the travel experience. Whether customers are enjoying a seamless journey or navigating unexpected disruption, your insights will help shape products and services that make rail travel easier, more reliable and more rewarding for millions of customers. In this role as the Data Analyst, you will Analyse customer behaviour in relation to our travel products. Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences. Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions. Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets. Collaborate across Data, Product and Design to ensure insight is embedded into decision making from early exploration through to delivery. Help define how we measure success in the Travel space. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. We'd love to hear from you if you have Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement. Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis. The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations. Experience communicating insight to a range of audiences, including senior stakeholders and colleagues from technical and non-technical backgrounds. Strong data visualisation skills, ideally using tools such as Tableau, Power BI or similar. A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on. Strong organisational skills, with the ability to manage multiple analytical work streams and balance competing priorities. Ideally, experience with DBT or modern data transformation workflows, and exposure to analysing experiments, pilots or trials. More information Enjoy fantastic perks like private healthcare and dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
15/06/2026
Full time
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom's next generation of AI products. Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You'll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We're particularly interested in engineers who have: A track record of working on model training or model inference at scale, or on low level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low latency, high reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Intercom's AI platform. These are indicative, not hard requirements. We're looking to hire Senior+ AI Infrastructure Engineers. You're likely a great fit if: You have 5+ years of experience in software engineering, with a strong track record of shipping high quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low level GPU work, such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non engineers. You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. None of these are required, but they're nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI native product companies). Experience running training or inference workloads on Kubernetes. Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings. Benefits Competitive salary and equity in a fast-growing start up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Unlimited access to Claude Code and best class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4%. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Flexible paid time off policy. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too. MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
15/06/2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom's next generation of AI products. Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You'll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We're particularly interested in engineers who have: A track record of working on model training or model inference at scale, or on low level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low latency, high reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Intercom's AI platform. These are indicative, not hard requirements. We're looking to hire Senior+ AI Infrastructure Engineers. You're likely a great fit if: You have 5+ years of experience in software engineering, with a strong track record of shipping high quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low level GPU work, such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non engineers. You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. None of these are required, but they're nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI native product companies). Experience running training or inference workloads on Kubernetes. Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings. Benefits Competitive salary and equity in a fast-growing start up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Unlimited access to Claude Code and best class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4%. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Flexible paid time off policy. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too. MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Hey! We're Plum, your smart saving and investing app on a mission to help grow money for life. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum's got your back. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI -that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey. The Role At Plum we're looking for engineers who are passionate about both technology and bringing the best product to our customers. To achieve this mission, we need technical leaders who can look beyond individual features to drive the technical strategy that accelerates our user growth and engagement. We are looking for a Staff Engineer for our First & Last Mile group, the team responsible for driving the core user lifecycle, including user Onboarding, Offboarding, Authentication, Engagement, and Subscriptions. We need a technical leader who understands how to bridge the gap between complex backend services, mobile client architecture, and business impact. You will not only have a strong technical background but also the ability to define technical roadmaps, elevate the engineering culture, and architect systems that enable rapid experimentation across our entire stack. What You Will Do Architect and design modular, scalable, and observable systems that support high-volume experimentation and user engagement flows spanning from the mobile client to backend services Drive the Cross-Platform Strategic Vision and roadmap, ensuring our architecture supports high-volume experimentation, rapid iteration and future business needs Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence across multiple teams. Provide guidance to and mentor Senior Engineers and other team members, fostering a culture of technical excellence and career growth. Identify root causes of systemic issues and architectural bottlenecks, determining short-term mitigations and long term strategic resolutions. Work and intervene on the whole life cycle of the software, from high level system design to deployment and post release monitoring. Partner closely with Product Managers and Data Scientists to design technical solutions that unlock new growth opportunities and optimise user funnels. What We Look For Proven track record of technical leadership, preferably in a mobile heavy or full stack capacity Experience designing and architecting systems at scale Deep experience with A/B testing frameworks, experimentation platforms, or data intensive growth loops. High level of pragmatism; you understand when to build for scale and when to optimise for speed of learning. Positive and solution oriented mindset Strong planning and prioritisation skills, with the ability to translate high level business goals into actionable technical strategies across the stack. Ability to share product insight with stakeholders, challenge product decisions with data, and act as a bridge between Engineering, Product, and Data Science. Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational challenges to both technical and non technical executives. Experience in working within a cross functional team and collaborative environment; ability to facilitate technical decision making and resolve conflicts across teams. Self motivated and self managing, with excellent organisational skills and a focus on high leverage work. Comfortable working with both strongly and dynamically typed languages. We value your ability to architect Plum Perks Own part of the company through stock options Private health insurance Annual training budget Plum Premium Referral scheme: earn competitive rewards Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus Team breakfasts and team lunches. 25 days holiday + bank holidays 45 work from anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave 1 paid volunteering day annuallyAnnual team trip: to a surprise destination! A fun, inclusive company culture If this sounds like you, we'd love to hear from you! Thanks, Team Plum Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
15/06/2026
Full time
Hey! We're Plum, your smart saving and investing app on a mission to help grow money for life. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum's got your back. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI -that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey. The Role At Plum we're looking for engineers who are passionate about both technology and bringing the best product to our customers. To achieve this mission, we need technical leaders who can look beyond individual features to drive the technical strategy that accelerates our user growth and engagement. We are looking for a Staff Engineer for our First & Last Mile group, the team responsible for driving the core user lifecycle, including user Onboarding, Offboarding, Authentication, Engagement, and Subscriptions. We need a technical leader who understands how to bridge the gap between complex backend services, mobile client architecture, and business impact. You will not only have a strong technical background but also the ability to define technical roadmaps, elevate the engineering culture, and architect systems that enable rapid experimentation across our entire stack. What You Will Do Architect and design modular, scalable, and observable systems that support high-volume experimentation and user engagement flows spanning from the mobile client to backend services Drive the Cross-Platform Strategic Vision and roadmap, ensuring our architecture supports high-volume experimentation, rapid iteration and future business needs Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence across multiple teams. Provide guidance to and mentor Senior Engineers and other team members, fostering a culture of technical excellence and career growth. Identify root causes of systemic issues and architectural bottlenecks, determining short-term mitigations and long term strategic resolutions. Work and intervene on the whole life cycle of the software, from high level system design to deployment and post release monitoring. Partner closely with Product Managers and Data Scientists to design technical solutions that unlock new growth opportunities and optimise user funnels. What We Look For Proven track record of technical leadership, preferably in a mobile heavy or full stack capacity Experience designing and architecting systems at scale Deep experience with A/B testing frameworks, experimentation platforms, or data intensive growth loops. High level of pragmatism; you understand when to build for scale and when to optimise for speed of learning. Positive and solution oriented mindset Strong planning and prioritisation skills, with the ability to translate high level business goals into actionable technical strategies across the stack. Ability to share product insight with stakeholders, challenge product decisions with data, and act as a bridge between Engineering, Product, and Data Science. Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational challenges to both technical and non technical executives. Experience in working within a cross functional team and collaborative environment; ability to facilitate technical decision making and resolve conflicts across teams. Self motivated and self managing, with excellent organisational skills and a focus on high leverage work. Comfortable working with both strongly and dynamically typed languages. We value your ability to architect Plum Perks Own part of the company through stock options Private health insurance Annual training budget Plum Premium Referral scheme: earn competitive rewards Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus Team breakfasts and team lunches. 25 days holiday + bank holidays 45 work from anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave 1 paid volunteering day annuallyAnnual team trip: to a surprise destination! A fun, inclusive company culture If this sounds like you, we'd love to hear from you! Thanks, Team Plum Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated the company help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision making. We are a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data You'll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You'll design, build and update end to end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and the broader company You'll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5+ years experience working with data to solve problems and drive evidence based decisions Excellent SQL skills and experience applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision Excellent communication skills (technical and non technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language such as R or Python Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Equal Employment Opportunity Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state or local law.
15/06/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated the company help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision making. We are a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data You'll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You'll design, build and update end to end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and the broader company You'll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5+ years experience working with data to solve problems and drive evidence based decisions Excellent SQL skills and experience applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision Excellent communication skills (technical and non technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language such as R or Python Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Equal Employment Opportunity Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state or local law.
What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact. Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion). Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams. What skills do I need? Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborativeproduct mindset- comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables. Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
15/06/2026
Full time
What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact. Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion). Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams. What skills do I need? Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborativeproduct mindset- comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables. Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
About the rolex Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at the company, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive - for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions. This role is designed for a well rounded engineering generalist who leans heavily into generative AI while bringing a whole systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that's changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager. We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges scaled to match your experience and expertise. What you'll do Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise wide transformation Build and optimize high performance, low latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform Act as a whole systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross functional teams and collaborating closely with product managers, data scientists, and DevOps engineers Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top tier performance, security, and reliability across distributed workloads What you need 3 5+ years of hands on experience as a software engineer with a strong emphasis on Python development in production environments Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open source agentic frameworks Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflows Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems A Connect mindset that thrives in collaborative settings where you actively engage with cross functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high quality, resilient, and scalable code from conception to production Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
15/06/2026
Full time
About the rolex Imagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at the company, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive - for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions. This role is designed for a well rounded engineering generalist who leans heavily into generative AI while bringing a whole systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that's changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager. We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges scaled to match your experience and expertise. What you'll do Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise wide transformation Build and optimize high performance, low latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platform Act as a whole systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross functional teams and collaborating closely with product managers, data scientists, and DevOps engineers Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top tier performance, security, and reliability across distributed workloads What you need 3 5+ years of hands on experience as a software engineer with a strong emphasis on Python development in production environments Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open source agentic frameworks Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflows Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems A Connect mindset that thrives in collaborative settings where you actively engage with cross functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high quality, resilient, and scalable code from conception to production Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value. If you get excited about asking the right questions, exploring patterns in data and turning insights into action, this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics, data and analysis. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data You'll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You'll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through exploratory analysis and quantitative research Increasingly, you will also: Use AI-assisted tools (e.g. Claude Code, Cursor) to accelerate analysis, coding and insight generation Identify opportunities to automate your own workflows and reduce time spent on repetitive tasks Build scalable data products (dashboards, models, internal tools) that enable stakeholders to self-serve insights Help teams interact more directly with data (e.g. through better abstractions, semantic layers, or AI-powered interfaces) Raise the bar for how AI is used within RAD- sharing patterns, workflows and best practices Craft clear, compelling data stories and communicate recommendations across R&D and the broader company Contribute to and shape core RAD foundations, improving how the team operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Strong SQL skills and solid grounding in statistics Experience working closely with product teams Proven track record of delivering actionable insights that drive measurable impact with minimal supervision Strong product intuition, business acumen and ability to connect analysis to strategy Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes Strong ownership, curiosity and growth mindset Experience with a scientific computing language (e.g. Python) And increasingly important: Ability to effectively use AI tools (e.g. Claude Code, Cursor) to accelerate and improve your work A mindset of automation and leverage - looking for ways to scale your impact beyond one-off analyses Comfort working in ambiguous, fast-evolving environments where tools and workflows are rapidly changing Bonus skills & attributes Experience with data modeling and ETL pipelines (esp dbt) Experience building internal tools, data products or self-serve analytics capabilities Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
15/06/2026
Full time
What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value. If you get excited about asking the right questions, exploring patterns in data and turning insights into action, this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics, data and analysis. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data You'll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You'll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through exploratory analysis and quantitative research Increasingly, you will also: Use AI-assisted tools (e.g. Claude Code, Cursor) to accelerate analysis, coding and insight generation Identify opportunities to automate your own workflows and reduce time spent on repetitive tasks Build scalable data products (dashboards, models, internal tools) that enable stakeholders to self-serve insights Help teams interact more directly with data (e.g. through better abstractions, semantic layers, or AI-powered interfaces) Raise the bar for how AI is used within RAD- sharing patterns, workflows and best practices Craft clear, compelling data stories and communicate recommendations across R&D and the broader company Contribute to and shape core RAD foundations, improving how the team operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Strong SQL skills and solid grounding in statistics Experience working closely with product teams Proven track record of delivering actionable insights that drive measurable impact with minimal supervision Strong product intuition, business acumen and ability to connect analysis to strategy Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes Strong ownership, curiosity and growth mindset Experience with a scientific computing language (e.g. Python) And increasingly important: Ability to effectively use AI tools (e.g. Claude Code, Cursor) to accelerate and improve your work A mindset of automation and leverage - looking for ways to scale your impact beyond one-off analyses Comfort working in ambiguous, fast-evolving environments where tools and workflows are rapidly changing Bonus skills & attributes Experience with data modeling and ETL pipelines (esp dbt) Experience building internal tools, data products or self-serve analytics capabilities Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
