This Lead Data Engineer role sits within DVLA's data platform team, working on modern, large-scale data systems that drive better decisions, insights and digital services. Why this role stands out Lead engineering forhigh-impact data products across DVLA Work with modern technologies includingDatabricks, Spark, and lakehouse architectures Shape standards and best practice across a growing data function Collaborate with product teams, analysts and data scientists Play a key role in improvingdigital services at national scale What you'll be doing Leading the design and build ofdata pipelines and data products Developingrobust data models and integrationsacross systems Ensuring data is processed efficiently foranalytics and business intelligence Driving best practice andstandards across data engineering teams Supporting performance optimisation and balancingcost, scalability and reliability Working across teams to enable reuse of data and improve delivery
25/05/2026
Full time
This Lead Data Engineer role sits within DVLA's data platform team, working on modern, large-scale data systems that drive better decisions, insights and digital services. Why this role stands out Lead engineering forhigh-impact data products across DVLA Work with modern technologies includingDatabricks, Spark, and lakehouse architectures Shape standards and best practice across a growing data function Collaborate with product teams, analysts and data scientists Play a key role in improvingdigital services at national scale What you'll be doing Leading the design and build ofdata pipelines and data products Developingrobust data models and integrationsacross systems Ensuring data is processed efficiently foranalytics and business intelligence Driving best practice andstandards across data engineering teams Supporting performance optimisation and balancingcost, scalability and reliability Working across teams to enable reuse of data and improve delivery
Staff Software Engineer - Global KYC and Onboarding Full-time Compensation: GBP 130,000 - GBP 164,000 - yearly Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. We are the Global KYC and Onboarding squad in the Servicing department and we have a mission: to enable teams at Wise to expand and fine tune the business in a "config change" manner all across the globe, while remaining compliant and safe for the customers. There are three teams in the squad: Business Onboarding Verification, Personal Onboarding Verification and Wise Platform Verification (this is our B2B platform). What will you be working on? The current KYC infrastructure has served us well for many years, but we are approaching its scalability limits. For the past few quarters we've been busy building a brand new infrastructure, the Onboarding Platform. In collaboration between the teams in the squad and sister teams in other squads, we've iteratively launched some of the key components already, but there are still many challenges ahead. The teams are fully stacked cross functionally, with ownership spanning across owning FinCrime Controls end-to-end: when they trigger, what they require, the UX of collection and recovery, automation (with in house ML and external vendors), manual reviews and finally enabling relevant capabilities for customers in the product. We have dedicated Analysts, Designers, Data Scientists and Engineers. We need a very strong Engineering partner to act across the teams and functions in the squad to expedite the work on the Onboarding Platform. What do you need? 10+ years of software engineering experience, with significant experience in Java or other JVM based languages. 2+ years of experience in architecting large scale systems with proven ability to propose and implement domain driven technical solutions capable of scaling along with the business. Willingness to take broad ownership of squad responsibilities (building roadmaps, scoping) while mentoring teams on their technical and product roadmaps. Experience in up levelling junior engineers and providing guidance to senior engineer via processes and setting a high bar for them to follow. You are a proactive, effective communicator who is able to describe technical concepts to non technical audiences and eager to learn new domains and have a strong bias towards action. Experience leading engineering teams and driving large scale projects to successful completion across multiple engineering teams is a nice to have. What does success look like? You'll have found your place in our mission by understanding how to drive engineering solutions and suggesting future challenges. You'll understand our customers and the impact our product makes in their lives. You'll make contributions to the wider engineering goals of the company. You'll inspire a team environment where ideas are shared and openness is valued. You'll help us scale up and build a world class money product that impacts millions of customers. For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visitWise.Jobs .
25/05/2026
Full time
Staff Software Engineer - Global KYC and Onboarding Full-time Compensation: GBP 130,000 - GBP 164,000 - yearly Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. We are the Global KYC and Onboarding squad in the Servicing department and we have a mission: to enable teams at Wise to expand and fine tune the business in a "config change" manner all across the globe, while remaining compliant and safe for the customers. There are three teams in the squad: Business Onboarding Verification, Personal Onboarding Verification and Wise Platform Verification (this is our B2B platform). What will you be working on? The current KYC infrastructure has served us well for many years, but we are approaching its scalability limits. For the past few quarters we've been busy building a brand new infrastructure, the Onboarding Platform. In collaboration between the teams in the squad and sister teams in other squads, we've iteratively launched some of the key components already, but there are still many challenges ahead. The teams are fully stacked cross functionally, with ownership spanning across owning FinCrime Controls end-to-end: when they trigger, what they require, the UX of collection and recovery, automation (with in house ML and external vendors), manual reviews and finally enabling relevant capabilities for customers in the product. We have dedicated Analysts, Designers, Data Scientists and Engineers. We need a very strong Engineering partner to act across the teams and functions in the squad to expedite the work on the Onboarding Platform. What do you need? 10+ years of software engineering experience, with significant experience in Java or other JVM based languages. 2+ years of experience in architecting large scale systems with proven ability to propose and implement domain driven technical solutions capable of scaling along with the business. Willingness to take broad ownership of squad responsibilities (building roadmaps, scoping) while mentoring teams on their technical and product roadmaps. Experience in up levelling junior engineers and providing guidance to senior engineer via processes and setting a high bar for them to follow. You are a proactive, effective communicator who is able to describe technical concepts to non technical audiences and eager to learn new domains and have a strong bias towards action. Experience leading engineering teams and driving large scale projects to successful completion across multiple engineering teams is a nice to have. What does success look like? You'll have found your place in our mission by understanding how to drive engineering solutions and suggesting future challenges. You'll understand our customers and the impact our product makes in their lives. You'll make contributions to the wider engineering goals of the company. You'll inspire a team environment where ideas are shared and openness is valued. You'll help us scale up and build a world class money product that impacts millions of customers. For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visitWise.Jobs .
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role This role will be working within the Fraud Prevention team in our Merchant Operations Group. The Fraud Prevention team plays a critical role in protecting the integrity of the GoCardless platform by building systems that prevent and detect merchant fraud before it impacts our business or our customers. The Fraud Prevention Data Scientist will work closely with Engineers and Fraud Analysts to develop and deploy predictive models that strengthen our fraud defenses. You'll focus on the end-to-end delivery of ML solutions - from feature engineering and prototyping to production grade deployment - to reduce false positives and automate controls without introducing unnecessary friction. You'll also collaborate with cross functional stakeholders to ensure our ML products scale on our GCP stack, driving fintech innovation while supporting a seamless customer experience. What you'll do Contribute to the end to end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product, engineering and data science peers to turn complex data into real time, mission critical fraud prevention solutions. Raise the team's collective bar through hands on technical leadership and knowledge sharing. Help bring to live the latest developments in ML and payer fraud prevention to drive innovation at GoCardless. What excites you Being a self starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution. Contributing to the future of fraud prevention, by shaping up the data and ML products all the way from the initial insights to the market ready solutions. Working with a range of stakeholders to discover and design ML solutions, adapting them to the markets as we grow. Building production grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience. You have a track record of deploying predictive models and data products in production with quantifiable impact (experience in Fintech, Fraud Prevention, or Payments is a big plus). You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non technical peers. You are experienced with writing and maintaining code to a production level standard, supporting the team with code reviews. You are comfortable contributing across the full model lifecycle, from deep dive analysis and feature engineering to prototyping, validation, and live A/B testing. Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12 month period. Hybrid Working: Our hybrid model offers flexibility, with in office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days.
25/05/2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role This role will be working within the Fraud Prevention team in our Merchant Operations Group. The Fraud Prevention team plays a critical role in protecting the integrity of the GoCardless platform by building systems that prevent and detect merchant fraud before it impacts our business or our customers. The Fraud Prevention Data Scientist will work closely with Engineers and Fraud Analysts to develop and deploy predictive models that strengthen our fraud defenses. You'll focus on the end-to-end delivery of ML solutions - from feature engineering and prototyping to production grade deployment - to reduce false positives and automate controls without introducing unnecessary friction. You'll also collaborate with cross functional stakeholders to ensure our ML products scale on our GCP stack, driving fintech innovation while supporting a seamless customer experience. What you'll do Contribute to the end to end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product, engineering and data science peers to turn complex data into real time, mission critical fraud prevention solutions. Raise the team's collective bar through hands on technical leadership and knowledge sharing. Help bring to live the latest developments in ML and payer fraud prevention to drive innovation at GoCardless. What excites you Being a self starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution. Contributing to the future of fraud prevention, by shaping up the data and ML products all the way from the initial insights to the market ready solutions. Working with a range of stakeholders to discover and design ML solutions, adapting them to the markets as we grow. Building production grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience. You have a track record of deploying predictive models and data products in production with quantifiable impact (experience in Fintech, Fraud Prevention, or Payments is a big plus). You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non technical peers. You are experienced with writing and maintaining code to a production level standard, supporting the team with code reviews. You are comfortable contributing across the full model lifecycle, from deep dive analysis and feature engineering to prototyping, validation, and live A/B testing. Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12 month period. Hybrid Working: Our hybrid model offers flexibility, with in office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days.
Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery delivery adoption iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
25/05/2026
Full time
Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery delivery adoption iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Who We Are We are DAC-a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint-from global audiences to individual store locations.The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources. This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions.This role works closely with web developers, data engineers, lead analysts, data scientists, and account teams to support analytics implementation, reporting, and performance analysis. Key Objectives of the Role Support web analytics strategy, measurement planning, and implementation across websites and campaigns Translate business and stakeholder needs into tracking requirements, tagging plans, and reporting outputs Ensure data is collected accurately through proper tagging, implementation QA, and ongoing validation Build and maintain reporting and visualizations across website, media, and first-party data sources Use AI-enabled tools to improve reporting workflows, streamline analysis, and surface insights more efficiently Investigate trends and performance changes across digital touchpoints and provide actionable recommendations Collaborate with technical, media partners and analytics teams to maintain data integrity and improve reporting foundations Position Accountabilities Lead and support Web Analytics engagements in partnership with account service, analytics, and technical teams Own the web analytics lifecycle across assigned projects, including measurement design, implementation support, QA, reporting, analysis, and recommendations Gather business requirements and translate them into tracking frameworks, measurement plans, and data collection specifications Support tagging and implementation activities for websites and campaigns, including variables, events, conversions, and other measurement requirements Partner with developers and technical teams during implementation to ensure analytics requirements are correctly deployed Perform implementation QA and troubleshooting to validate tagging, data capture, and reporting accuracy Monitor data quality and identify issues related to tracking, tagging, discrepancies, or broken measurement logic Develop recurring and ad hoc reporting that integrates website, media, and first-party data into clear and actionable views of performance Build dashboards, visualizations, and presentations that communicate performance trends, issues, and opportunities to stakeholders Analyze digital performance across websites and campaigns, identifying underperforming areas and opportunities to improve conversion, engagement, and efficiency Investigate business questions by connecting behavioral, campaign, and customer data to identify likely drivers of performance changes Work with Data Engineers to understand data architecture, source systems, data flows, and structures that support reporting and analysis Collaborate with Lead Analysts and Data Scientists on more advanced analysis, data interpretation, and insight development Participate in client and internal presentations, helping explain findings, technical considerations, and strategic recommendations Contribute to the growth and evolution of the agency's analytics, implementation, and reporting capabilities Preferred Requirements Relevant bachelor's degree or equivalent industry experience 2-4 years of experience in web analytics, digital analytics, or marketing analytics Experience with web analytics implementation, including tracking design, tagging requirements, QA, and troubleshooting Familiarity with tag management systems and analytics platforms such as Google Tag Manager, Adobe Launch, Google Analytics, Adobe Analytics, or similar tools Strong understanding of digital measurement frameworks, events, conversions, campaign tracking, and website performance metrics Working knowledge of digital media channels, including paid search, paid social, and SEO, with an understanding of how campaigns are optimized and how media performance influences website behavior, traffic quality, and conversion Experience building reports and dashboards using website, media, and first-party data Familiarity with data visualization tools such as Power BI, Tableau, Looker Studio, or similar platforms Understanding of data architecture, data structures, and how raw source data translates into reporting outputs Experience using AI-enabled tools to support reporting, visualization, analysis, or workflow efficiency Strong Excel and PowerPoint skills Strong written, verbal, and presentation skills Ability to communicate technical concepts and data insights clearly to both technical and non-technical stakeholders Comfortable working cross-functionally with developers, data engineers, analysts, and data scientists Strong attention to detail, curiosity, and problem-solving ability What you will get Professional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry. Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation. Competitive Benefits: + Competitive salary and comprehensive health benefits. + Generous PTO, wellness initiatives and parental leave. + Opportunities for continued learning and professional development. + A supportive, collaborative, and casual work environment. How We Work This role requires three days in-office. Remote work is not available for this position.This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, state, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to Web Analyst supports the strategy, design, implementation, and ongoing optimization of digital measurement solutions across websites and marketing programs. This role blends web analytics implementation with cross-channel reporting and analysis , helping ensure that data is collected accurately, structured appropriately, and translated into clear business insights.
25/05/2026
Full time
Who We Are We are DAC-a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint-from global audiences to individual store locations.The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources. This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions.This role works closely with web developers, data engineers, lead analysts, data scientists, and account teams to support analytics implementation, reporting, and performance analysis. Key Objectives of the Role Support web analytics strategy, measurement planning, and implementation across websites and campaigns Translate business and stakeholder needs into tracking requirements, tagging plans, and reporting outputs Ensure data is collected accurately through proper tagging, implementation QA, and ongoing validation Build and maintain reporting and visualizations across website, media, and first-party data sources Use AI-enabled tools to improve reporting workflows, streamline analysis, and surface insights more efficiently Investigate trends and performance changes across digital touchpoints and provide actionable recommendations Collaborate with technical, media partners and analytics teams to maintain data integrity and improve reporting foundations Position Accountabilities Lead and support Web Analytics engagements in partnership with account service, analytics, and technical teams Own the web analytics lifecycle across assigned projects, including measurement design, implementation support, QA, reporting, analysis, and recommendations Gather business requirements and translate them into tracking frameworks, measurement plans, and data collection specifications Support tagging and implementation activities for websites and campaigns, including variables, events, conversions, and other measurement requirements Partner with developers and technical teams during implementation to ensure analytics requirements are correctly deployed Perform implementation QA and troubleshooting to validate tagging, data capture, and reporting accuracy Monitor data quality and identify issues related to tracking, tagging, discrepancies, or broken measurement logic Develop recurring and ad hoc reporting that integrates website, media, and first-party data into clear and actionable views of performance Build dashboards, visualizations, and presentations that communicate performance trends, issues, and opportunities to stakeholders Analyze digital performance across websites and campaigns, identifying underperforming areas and opportunities to improve conversion, engagement, and efficiency Investigate business questions by connecting behavioral, campaign, and customer data to identify likely drivers of performance changes Work with Data Engineers to understand data architecture, source systems, data flows, and structures that support reporting and analysis Collaborate with Lead Analysts and Data Scientists on more advanced analysis, data interpretation, and insight development Participate in client and internal presentations, helping explain findings, technical considerations, and strategic recommendations Contribute to the growth and evolution of the agency's analytics, implementation, and reporting capabilities Preferred Requirements Relevant bachelor's degree or equivalent industry experience 2-4 years of experience in web analytics, digital analytics, or marketing analytics Experience with web analytics implementation, including tracking design, tagging requirements, QA, and troubleshooting Familiarity with tag management systems and analytics platforms such as Google Tag Manager, Adobe Launch, Google Analytics, Adobe Analytics, or similar tools Strong understanding of digital measurement frameworks, events, conversions, campaign tracking, and website performance metrics Working knowledge of digital media channels, including paid search, paid social, and SEO, with an understanding of how campaigns are optimized and how media performance influences website behavior, traffic quality, and conversion Experience building reports and dashboards using website, media, and first-party data Familiarity with data visualization tools such as Power BI, Tableau, Looker Studio, or similar platforms Understanding of data architecture, data structures, and how raw source data translates into reporting outputs Experience using AI-enabled tools to support reporting, visualization, analysis, or workflow efficiency Strong Excel and PowerPoint skills Strong written, verbal, and presentation skills Ability to communicate technical concepts and data insights clearly to both technical and non-technical stakeholders Comfortable working cross-functionally with developers, data engineers, analysts, and data scientists Strong attention to detail, curiosity, and problem-solving ability What you will get Professional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry. Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation. Competitive Benefits: + Competitive salary and comprehensive health benefits. + Generous PTO, wellness initiatives and parental leave. + Opportunities for continued learning and professional development. + A supportive, collaborative, and casual work environment. How We Work This role requires three days in-office. Remote work is not available for this position.This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, state, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to Web Analyst supports the strategy, design, implementation, and ongoing optimization of digital measurement solutions across websites and marketing programs. This role blends web analytics implementation with cross-channel reporting and analysis , helping ensure that data is collected accurately, structured appropriately, and translated into clear business insights.
Dyad is seeking a Data Scientist to help grow our analytical capabilities across our teams. This role fits someone who can pull, interrogate, and shape data from across the company, document the evaluations and benchmarks that matter to our AI Platform team and to Commercial, and turn all of it into dashboards, reports, and presentations that other people can act on. The role priorities end of the data science spectrum. It prioritises fluency with Python, SQL, and visualisation; clear reasoning about data quality and measurement; and communicating complex findings to stakeholders across the business. Communication fluency is a first class requirement: a correct analysis that stakeholders cannot act on is a failure of the role, not of the audience. You will work across Commercial, AI Platform, and BetterLetter, reporting into the Chief Clinical Product Officer. This role is offered on a hybrid basis from our London office. Core responsibilities Data extraction and analysis Work with BetterLetter, AI Platform, QARA, and Commercial to pull data from production systems, customer environments, and internal tooling. Clean, join, aggregate, and interrogate datasets with rigour in order to communicate findings to all stakeholders. Flag where data is missing, unreliable, or not yet instrumented to support the question being asked, and recommend what to do about it. Dashboarding and reporting Build and maintain dashboards for internal teams (product, commercial, leadership) and, where appropriate, customers. Produce recurring reports (customer facing metrics, operational KPIs, board packs and investor updates as that becomes necessary) that are accurate, legible, and consistent over time. Run bespoke analyses to support sales, renewals, clinical conversations, and strategic decisions. Present findings clearly to non technical audiences, including senior leadership and customers. Benchmarks and evaluations Turn benchmark and evaluation outputs produced by the AI Platform team into documentation, reports, and visualisations that other teams can use. Communicate technical evaluation metrics in understandable ways, and describe how evaluation results change over time in terms non specialists can act on. Requirements Experience and background A track record of applied data analysis work in a commercial setting is a must, with at least 3 years of experience; this is not a graduate role. We are seeking candidates with experience pulling, cleaning, and analysing data from production systems along with reporting and data visualisation. You should also be comfortable presenting findings to non technical stakeholders, including senior leadership or customers. Experience working in or alongside teams building data intensive products, ideally including ML or AI systems, is highly desirable. You might be trained as a data scientist with a preference for data work and strong applied data and statistical skills, or come from an analyst background but with sufficient fluency in writing Python to build and own reporting and analyses independently. Healthcare experience is a plus but not required. Technical skills Python for data work: pandas, NumPy, Jupyter, plotting libraries (matplotlib, Plotly, seaborn), and enough general Python to write small tools and scripts without help. SQL across common dialects, including reading and reasoning about non trivial queries and joins. A modern BI or dashboarding stack (Metabase, Looker, Superset, or equivalent), sufficient to build and maintain dashboards without engineering help for most work. Basic statistical thinking: sampling, confidence, effect sizes, and distinguishing a meaningful difference from noise. Reading and interpreting evaluation outputs from AI systems: precision and recall, error taxonomies, and what model metrics mean for a non specialist audience. Personal attributes Communication led: treats clear presentation as part of the analysis, not an afterthought. Pragmatic and outcome focused, willing to own the analytical question end to end. Comfortable flagging data quality issues early and shaping the question rather than only answering it. Cross functional by instinct: works effectively across engineering, AI, commercial, and clinical colleagues.
25/05/2026
Full time
Dyad is seeking a Data Scientist to help grow our analytical capabilities across our teams. This role fits someone who can pull, interrogate, and shape data from across the company, document the evaluations and benchmarks that matter to our AI Platform team and to Commercial, and turn all of it into dashboards, reports, and presentations that other people can act on. The role priorities end of the data science spectrum. It prioritises fluency with Python, SQL, and visualisation; clear reasoning about data quality and measurement; and communicating complex findings to stakeholders across the business. Communication fluency is a first class requirement: a correct analysis that stakeholders cannot act on is a failure of the role, not of the audience. You will work across Commercial, AI Platform, and BetterLetter, reporting into the Chief Clinical Product Officer. This role is offered on a hybrid basis from our London office. Core responsibilities Data extraction and analysis Work with BetterLetter, AI Platform, QARA, and Commercial to pull data from production systems, customer environments, and internal tooling. Clean, join, aggregate, and interrogate datasets with rigour in order to communicate findings to all stakeholders. Flag where data is missing, unreliable, or not yet instrumented to support the question being asked, and recommend what to do about it. Dashboarding and reporting Build and maintain dashboards for internal teams (product, commercial, leadership) and, where appropriate, customers. Produce recurring reports (customer facing metrics, operational KPIs, board packs and investor updates as that becomes necessary) that are accurate, legible, and consistent over time. Run bespoke analyses to support sales, renewals, clinical conversations, and strategic decisions. Present findings clearly to non technical audiences, including senior leadership and customers. Benchmarks and evaluations Turn benchmark and evaluation outputs produced by the AI Platform team into documentation, reports, and visualisations that other teams can use. Communicate technical evaluation metrics in understandable ways, and describe how evaluation results change over time in terms non specialists can act on. Requirements Experience and background A track record of applied data analysis work in a commercial setting is a must, with at least 3 years of experience; this is not a graduate role. We are seeking candidates with experience pulling, cleaning, and analysing data from production systems along with reporting and data visualisation. You should also be comfortable presenting findings to non technical stakeholders, including senior leadership or customers. Experience working in or alongside teams building data intensive products, ideally including ML or AI systems, is highly desirable. You might be trained as a data scientist with a preference for data work and strong applied data and statistical skills, or come from an analyst background but with sufficient fluency in writing Python to build and own reporting and analyses independently. Healthcare experience is a plus but not required. Technical skills Python for data work: pandas, NumPy, Jupyter, plotting libraries (matplotlib, Plotly, seaborn), and enough general Python to write small tools and scripts without help. SQL across common dialects, including reading and reasoning about non trivial queries and joins. A modern BI or dashboarding stack (Metabase, Looker, Superset, or equivalent), sufficient to build and maintain dashboards without engineering help for most work. Basic statistical thinking: sampling, confidence, effect sizes, and distinguishing a meaningful difference from noise. Reading and interpreting evaluation outputs from AI systems: precision and recall, error taxonomies, and what model metrics mean for a non specialist audience. Personal attributes Communication led: treats clear presentation as part of the analysis, not an afterthought. Pragmatic and outcome focused, willing to own the analytical question end to end. Comfortable flagging data quality issues early and shaping the question rather than only answering it. Cross functional by instinct: works effectively across engineering, AI, commercial, and clinical colleagues.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation About the role Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
24/05/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation About the role Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation About the role Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
24/05/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation About the role Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, every expansion decision made - all downstream of models that predict how parcels move through our system. When those models are right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions - and the specific domain you take on will depend on your strengths and what the squad needs most. What's common across all of it: you will build and maintain models that directly drive operational decisions for multiple teams across Relay, every day. This means different things depending on the domain. It might mean building the expansion models that determine where Relay grows next: which outcodes to enter, how volumes ramp in new areas, and how the pitstop network should evolve. It might mean working on the dimensions model that predicts parcel weights and sizes before they arrive, feeding route planning and vehicle loading decisions. It might mean extending the demand forecast horizon from 7 days toward 30, giving downstream teams more lead time to plan. Or it might mean improving the predictions that determine what volume is available to sort on a given night, and how that volume should be allocated across sort centres. Relay operates a centralised data team of around 30 Data Engineers, Analysts, and Data Scientists, with specialists embedded into squads across the business. You will sit in the Network squad alongside other Data Scientists and Analysts, reporting into the centralised data team. The squad is growing, and you will have significant influence over its technical direction and the modelling approaches it adopts. You will be supported by Analysts who build the monitoring and reporting layer, and a squad lead who sets strategic direction. What You'll Do Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time Translate problems from consuming squads into data science problems - Sortation, Middle Mile, Last Mile, Routing, and Commercial each depend on Network's forecasts Work with Finance, who extend the operational forecasts into longer-range financial projections, to ensure the handoff between operational and financial models is reliable Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort Influence the squad's technical direction and modelling approaches as the team grows Who Will Thrive in This Role? Experience thinking about interconnected systems - understanding that a demand forecast isn't just a number, but flows through shift release, van dispatch, route planning, and courier allocation. You're interested in how your models connect to the models around them. A track record of building and delivering models. You've worked from ambiguous starting points before - understanding the problem, building something useful, validating it against real operations, and iterating. You evaluate models beyond standard offline metrics - connecting outputs to downstream applications and business KPIs, and measuring how improvements translate into operational impact. The squad works collaboratively to define priorities and scope, and you'll have support from the squad lead and your peers as you ramp up Strong Python and SQL, and comfort working across the modelling lifecycle - from data extraction and feature engineering through to model training, validation, and production deployment. You've worked with time-series forecasting methods - whether classical statistical approaches, gradient boosting, deep learning, or a combination - and you understand the trade-offs between them. Experience with data engineering is useful, and you'll be supported by a dedicated engineer in the squad. You have at least 5 years of experience in a data science or quantitative modelling role, with examples of models you built that informed operational or commercial decisions. You've taken models from notebook to production - writing maintainable code, building pipelines that run reliably, and debugging when they don't. You've contributed to methodology decisions and understand that a model isn't done when it trains well; it's done when it's running, monitored, and trusted. You have experience communicating with non-technical stakeholders. The squads that consume the forecasts need to trust them, and that trust comes from explaining what the models do, where they're reliable, and where they're not. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone who wants to see whether their models made a real difference to how the network operates - there is a direct feedback loop between your work and operational outcomes. Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Thursday 26 February 2026 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Backend Software Engineer National Security Business Be part of a growing and highly trusted supplier within the National Security domain, delivering mission critical solutions that help keep the nation safe, secure, and prosperous. You'll work with leading edge technologies across AI, Data Science, Cyber, Cloud, DevOps, SRE, and Platform Engineering. We've secured long term programmes across the full technology spectrum on the latest customer frameworks, providing a strong platform for continued growth and innovation. Join us as we embark on an exciting and ambitious expansion journey. As a Backend Software Engineer, you'll play a key role in designing and developing mission critical technical solutions for our National Security customers. Roke is a leading technology & engineering company with clients spanning National Security, Defence and Intelligence. You will work alongside our customers to solve their complex and unique challenges. You're a Backend Software Engineer that enjoys developing novel products; leading, innovating and inventing by bringing the physical and digital together. You will be responsible for developing, testing and deploying high speed software components written in a variety of modern languages. These analytics are a vital link in the primary processing chain of Roke's National Security customers, enabling downstream analytics and reporting. Key responsibilities Write clean, secure, high performance code in Go. Support the scrum team by decomposing user requests and key results into epics and user stories. Produce high quality documentation using agreed standards, methods, and tools, including prototyping tools where appropriate. Actively participate in Agile ceremonies, including daily stand ups, epic decomposition sessions, sprint planning, reviews, and demos. Monitor deployed systems for performance or operational issues and implement updates or fixes as required. Required skills Strong DevOps knowledge, ideally with Docker, ArgoCD, and GitLab CI. Hands on experience deploying applications to Kubernetes using Helm charts. Good understanding of Agile software development practices and modern engineering techniques. Preferred Skills Experience with Redis. Knowledge of the Robot testing framework. Exposure to CNCF monitoring stack (Prometheus, Thanos, Grafana). Familiarity with message brokering systems (e.g., NATS, Qpid, Kafka). Understanding of Linux networking concepts. Experience working with AWS. Where you'll work ROMSEY - Located within beautiful Hampshire countryside, close to the picturesque New Forest District and not far from a superb stretch of the south coast. This is no corporate concrete jungle; this is a manor house site, with ample parking an on site gym and a driveway full of daffodils in the spring. Due to the nature of this role, we require you to be eligible to achieve DV clearance. The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you.
24/05/2026
Full time
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Thursday 26 February 2026 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Backend Software Engineer National Security Business Be part of a growing and highly trusted supplier within the National Security domain, delivering mission critical solutions that help keep the nation safe, secure, and prosperous. You'll work with leading edge technologies across AI, Data Science, Cyber, Cloud, DevOps, SRE, and Platform Engineering. We've secured long term programmes across the full technology spectrum on the latest customer frameworks, providing a strong platform for continued growth and innovation. Join us as we embark on an exciting and ambitious expansion journey. As a Backend Software Engineer, you'll play a key role in designing and developing mission critical technical solutions for our National Security customers. Roke is a leading technology & engineering company with clients spanning National Security, Defence and Intelligence. You will work alongside our customers to solve their complex and unique challenges. You're a Backend Software Engineer that enjoys developing novel products; leading, innovating and inventing by bringing the physical and digital together. You will be responsible for developing, testing and deploying high speed software components written in a variety of modern languages. These analytics are a vital link in the primary processing chain of Roke's National Security customers, enabling downstream analytics and reporting. Key responsibilities Write clean, secure, high performance code in Go. Support the scrum team by decomposing user requests and key results into epics and user stories. Produce high quality documentation using agreed standards, methods, and tools, including prototyping tools where appropriate. Actively participate in Agile ceremonies, including daily stand ups, epic decomposition sessions, sprint planning, reviews, and demos. Monitor deployed systems for performance or operational issues and implement updates or fixes as required. Required skills Strong DevOps knowledge, ideally with Docker, ArgoCD, and GitLab CI. Hands on experience deploying applications to Kubernetes using Helm charts. Good understanding of Agile software development practices and modern engineering techniques. Preferred Skills Experience with Redis. Knowledge of the Robot testing framework. Exposure to CNCF monitoring stack (Prometheus, Thanos, Grafana). Familiarity with message brokering systems (e.g., NATS, Qpid, Kafka). Understanding of Linux networking concepts. Experience working with AWS. Where you'll work ROMSEY - Located within beautiful Hampshire countryside, close to the picturesque New Forest District and not far from a superb stretch of the south coast. This is no corporate concrete jungle; this is a manor house site, with ample parking an on site gym and a driveway full of daffodils in the spring. Due to the nature of this role, we require you to be eligible to achieve DV clearance. The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you.
Hybrid Working - London - 1-2 days a week on site. Lorien's leading banking client is looking for a Data Engineer to join a newly built team on a new project. The Ideal Candidate will design, build, and maintain scalable data pipelines and analytical solutions with a strong emphasis on Scala-based data processing, graph analytics, advanced data wrangling, and experienced in using and understanding Quantexa . You will work closely with data scientists, analysts, and platform engineers to enable insights from complex, interconnected datasets. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 1-2 days a week on site. Key Skills and Experience Experienced in Design, Develop, And Maintain Scalable Data Pipelines Using Scala/Java And Modern Distributed Data Processing Frameworks. Build And Optimize Graph-Based Data Models to Analyse Relationships, Networks, And Dependencies Across Large Datasets. Experienced with using and working with Quantexa is highly advantageous. Implement Graph Analytics Algorithms (E.G. Centrality, Community Detection, Path Analysis) To Support Advanced Analytical Use Cases. Perform Complex Data Wrangling and Transformation on Structured and Semi-Structured Data. Develop And Maintain Scripts (E.G. Scala) To Automate Data Ingestion, Validation, And Processing Tasks. Ensure Data Quality, Reliability, And Performance Across Data Workflows. Collaborate With Stakeholders To Translate Business Requirements Into Robust Data Solutions. Contribute To Data Architecture, Best Practices, And Documentation. Monitor And Troubleshoot Data Pipelines In Production Environments. Experience of working within Financial Services Environments.
24/05/2026
Full time
Hybrid Working - London - 1-2 days a week on site. Lorien's leading banking client is looking for a Data Engineer to join a newly built team on a new project. The Ideal Candidate will design, build, and maintain scalable data pipelines and analytical solutions with a strong emphasis on Scala-based data processing, graph analytics, advanced data wrangling, and experienced in using and understanding Quantexa . You will work closely with data scientists, analysts, and platform engineers to enable insights from complex, interconnected datasets. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 1-2 days a week on site. Key Skills and Experience Experienced in Design, Develop, And Maintain Scalable Data Pipelines Using Scala/Java And Modern Distributed Data Processing Frameworks. Build And Optimize Graph-Based Data Models to Analyse Relationships, Networks, And Dependencies Across Large Datasets. Experienced with using and working with Quantexa is highly advantageous. Implement Graph Analytics Algorithms (E.G. Centrality, Community Detection, Path Analysis) To Support Advanced Analytical Use Cases. Perform Complex Data Wrangling and Transformation on Structured and Semi-Structured Data. Develop And Maintain Scripts (E.G. Scala) To Automate Data Ingestion, Validation, And Processing Tasks. Ensure Data Quality, Reliability, And Performance Across Data Workflows. Collaborate With Stakeholders To Translate Business Requirements Into Robust Data Solutions. Contribute To Data Architecture, Best Practices, And Documentation. Monitor And Troubleshoot Data Pipelines In Production Environments. Experience of working within Financial Services Environments.
Anglian Water Group Ltd.
Peterborough, Cambridgeshire
Salary Circa £64k (dependent on skills & experience) Huntingdon, Lincoln or Peterborough Office (depending on your location) - Hybrid As a Senior Data Engineer at Anglian Water, you'll be a technical leader and mentor, playing a pivotal role in shaping how data is engineered, trusted, and used across the organisation. You'll design, build, and maintain robust, scalable data pipelines that ingest, process, and store large volumes of data from a wide range of sources, enabling smarter decisions that directly support our critical services.Collaboration will be central to your role. You'll work closely with product owners, platform engineers, data scientists, and analysts to understand evolving data needs and ensure efficient, well-designed data flows that power analytics and reporting. You'll also optimise and manage data storage solutions, including data lakes, warehouses, and databases, ensuring they are secure, performant, and highly available.With a strong focus on automation, you'll use scripting and programming to streamline data processing and reduce manual intervention. You'll champion best practices in data engineering, security, and compliance, while documenting processes and workflows to support consistency, maintainability, and knowledge sharing across teams.This is a role where you can make a real impact - technically, strategically, and through mentoring others - helping Anglian Water unlock the full value of its data.The Senior Data Engineer will lead the design, build, and operation of scalable, secure data pipelines and integrations, transforming complex data from multiple sources into high-quality, analytics-ready data products. You will ensure data platforms are reliable, performant, and compliant by embedding data quality controls, validation rules, observability, automation, and governance throughout the full data lifecycleThe role involves close collaboration with product owners, data scientists, analysts, architects, cyber, and engineering teams to shape solutions that meet business and technical needs Alongside hands-on delivery, you will act as a technical authority within the data engineering discipline - defining guardrails, setting engineering standards, reviewing designs and code, mentoring engineers, and championing reusable patterns, automation, and high-quality delivery across teamsYou'll continuously develop your own skills, stay abreast of emerging technologies, and contribute innovative ideas to improve data engineering capabilities. Through problem-solving, knowledge sharing, and leadership, they will help build scalable, future-ready data solutions that support Anglian Water's strategic goals. What does it take to be a Senior Data Engineer We're looking for a confident and collaborative professional who can communicate clearly and influence effectively, advocating for ideas and solutions across both internal and external forums. You'll bring strong analytical, problem-solving, and troubleshooting skills, with the ability to work through complex challenges in a structured and pragmatic way.You'll be comfortable working in a team-based environment, building positive relationships and collaborating with others to deliver shared outcomes, while also being able to operate independently in ambiguous or fast-moving situations. A working knowledge of service management processes, including change, incident, and problem management, will enable you to contribute to stable, well-managed services. Skills and experience: Demonstrable extensive experience (typically 5+ years) in Data Engineering, delivering scalable, production-grade data solutions.Experience building and operating robust data pipelines across batch and/or real-time streaming architectures.Strong knowledge of data engineering principles including data quality, observability, automation, CI/CD, testing strategies, and secure-by-design practices.Proficiency in structured query and data transformation techniques, with the ability to write efficient, maintainable, and scalable data logic.Experience working collaboratively in cross-functional, agile teams.Proven experience mentoring, reviewing code, and contributing to engineering standards and best practice.Experience with modern cloud-based data platforms and/or industrial data integration technologies (e.g., Azure, Databricks, Spark, Delta Lake, MQTT brokers, unified namespace architectures, or similar).Experience working with Service Management processes (Change, Incident, Problem, Event, Configuration).Flexible benefits and working cultureThis is a chance to work on data engineering that truly matters. At Anglian Water, the data you build and manage directly supports critical services that millions of people rely on every day, from water quality and resilience to sustainability and customer experience.You'llwon't just deliver solutions - you'll shape standards, influence technical direction, and mentor others, playing a key role in growing our data engineering capability. work with modern, cloud-based technologies across Azure, Databricks, and Spark, solving complex data challenges at scale. As a Senior Data Engineer, you The role offers real scope for development, with time dedicated to learning, experimentation, and innovation. You'll collaborate with talented, supportive teams across engineering, architecture, cyber, and analytics, in an environment that values quality, automation, and continuous improvement.If you're an experienced data engineer who wants to combine deep technical expertise with technical leadership, and the opportunity to shape how data engineering is done at scale - this is the role to make that impactWe are committed to reflect the diversity of the communities we serve in both our workforce and our supply chain partners to help us to understand and meet the needs of our customers. We are passionate and dedicated to the learning and development of our people, making sure they have the right skills and knowledge to be successful and to help achieve their potential.We want to give everyone equal access to our recruitment process. If you have a disability or long-term condition, including neurodiversity and mental health conditions, we'll support you throughout your application, and make any adjustments to make sure your disability or long-term condition is not a barrier to recruitment. If you need any support, please get reach out to our team 'To apply, you'll need your up-to-date CV, we also recommend uploading a cover letter - tell us what has made you apply and what skills you can bring to the position. We will be in touch after your application has been reviewed, following the closing date.If you are offered a job with us, you'll be subject to the relevant employment checks for your role, which could include references, driving licence check, DBS Check as well as your right to work in the UK. More information about how we look after and use your information can be found in our .Become a part of Anglian Water's future and join us on our journey as we live through our values to build trust, do the right thing, and are always exploring, to bring environmental and social prosperity to the region.
24/05/2026
Full time
Salary Circa £64k (dependent on skills & experience) Huntingdon, Lincoln or Peterborough Office (depending on your location) - Hybrid As a Senior Data Engineer at Anglian Water, you'll be a technical leader and mentor, playing a pivotal role in shaping how data is engineered, trusted, and used across the organisation. You'll design, build, and maintain robust, scalable data pipelines that ingest, process, and store large volumes of data from a wide range of sources, enabling smarter decisions that directly support our critical services.Collaboration will be central to your role. You'll work closely with product owners, platform engineers, data scientists, and analysts to understand evolving data needs and ensure efficient, well-designed data flows that power analytics and reporting. You'll also optimise and manage data storage solutions, including data lakes, warehouses, and databases, ensuring they are secure, performant, and highly available.With a strong focus on automation, you'll use scripting and programming to streamline data processing and reduce manual intervention. You'll champion best practices in data engineering, security, and compliance, while documenting processes and workflows to support consistency, maintainability, and knowledge sharing across teams.This is a role where you can make a real impact - technically, strategically, and through mentoring others - helping Anglian Water unlock the full value of its data.The Senior Data Engineer will lead the design, build, and operation of scalable, secure data pipelines and integrations, transforming complex data from multiple sources into high-quality, analytics-ready data products. You will ensure data platforms are reliable, performant, and compliant by embedding data quality controls, validation rules, observability, automation, and governance throughout the full data lifecycleThe role involves close collaboration with product owners, data scientists, analysts, architects, cyber, and engineering teams to shape solutions that meet business and technical needs Alongside hands-on delivery, you will act as a technical authority within the data engineering discipline - defining guardrails, setting engineering standards, reviewing designs and code, mentoring engineers, and championing reusable patterns, automation, and high-quality delivery across teamsYou'll continuously develop your own skills, stay abreast of emerging technologies, and contribute innovative ideas to improve data engineering capabilities. Through problem-solving, knowledge sharing, and leadership, they will help build scalable, future-ready data solutions that support Anglian Water's strategic goals. What does it take to be a Senior Data Engineer We're looking for a confident and collaborative professional who can communicate clearly and influence effectively, advocating for ideas and solutions across both internal and external forums. You'll bring strong analytical, problem-solving, and troubleshooting skills, with the ability to work through complex challenges in a structured and pragmatic way.You'll be comfortable working in a team-based environment, building positive relationships and collaborating with others to deliver shared outcomes, while also being able to operate independently in ambiguous or fast-moving situations. A working knowledge of service management processes, including change, incident, and problem management, will enable you to contribute to stable, well-managed services. Skills and experience: Demonstrable extensive experience (typically 5+ years) in Data Engineering, delivering scalable, production-grade data solutions.Experience building and operating robust data pipelines across batch and/or real-time streaming architectures.Strong knowledge of data engineering principles including data quality, observability, automation, CI/CD, testing strategies, and secure-by-design practices.Proficiency in structured query and data transformation techniques, with the ability to write efficient, maintainable, and scalable data logic.Experience working collaboratively in cross-functional, agile teams.Proven experience mentoring, reviewing code, and contributing to engineering standards and best practice.Experience with modern cloud-based data platforms and/or industrial data integration technologies (e.g., Azure, Databricks, Spark, Delta Lake, MQTT brokers, unified namespace architectures, or similar).Experience working with Service Management processes (Change, Incident, Problem, Event, Configuration).Flexible benefits and working cultureThis is a chance to work on data engineering that truly matters. At Anglian Water, the data you build and manage directly supports critical services that millions of people rely on every day, from water quality and resilience to sustainability and customer experience.You'llwon't just deliver solutions - you'll shape standards, influence technical direction, and mentor others, playing a key role in growing our data engineering capability. work with modern, cloud-based technologies across Azure, Databricks, and Spark, solving complex data challenges at scale. As a Senior Data Engineer, you The role offers real scope for development, with time dedicated to learning, experimentation, and innovation. You'll collaborate with talented, supportive teams across engineering, architecture, cyber, and analytics, in an environment that values quality, automation, and continuous improvement.If you're an experienced data engineer who wants to combine deep technical expertise with technical leadership, and the opportunity to shape how data engineering is done at scale - this is the role to make that impactWe are committed to reflect the diversity of the communities we serve in both our workforce and our supply chain partners to help us to understand and meet the needs of our customers. We are passionate and dedicated to the learning and development of our people, making sure they have the right skills and knowledge to be successful and to help achieve their potential.We want to give everyone equal access to our recruitment process. If you have a disability or long-term condition, including neurodiversity and mental health conditions, we'll support you throughout your application, and make any adjustments to make sure your disability or long-term condition is not a barrier to recruitment. If you need any support, please get reach out to our team 'To apply, you'll need your up-to-date CV, we also recommend uploading a cover letter - tell us what has made you apply and what skills you can bring to the position. We will be in touch after your application has been reviewed, following the closing date.If you are offered a job with us, you'll be subject to the relevant employment checks for your role, which could include references, driving licence check, DBS Check as well as your right to work in the UK. More information about how we look after and use your information can be found in our .Become a part of Anglian Water's future and join us on our journey as we live through our values to build trust, do the right thing, and are always exploring, to bring environmental and social prosperity to the region.
We are building the financial system for the next century. One where control sits in the hands of customers - not banks. Where money moves on rails that are faster, smarter, and radically more efficient. Where wealth management tools help you grow your savings for decades - and build generational wealth. Where fewer intermediaries mean more value stays where it belongs: in our customers' pockets. We operate with long-term ambition and absolute conviction. We are not here to iterate on the past - we are here to redesign it. This is a defining moment to join us. We are building what we believe will become one of the most important financial institutions in the world. That requires exceptional talent, relentless standards, and people who care deeply about the work. At ARQ, we are turning the financial system upside down - starting in the Americas. We are nimble, but ambitious. We move fast, learn fast, and innovate relentlessly. Technology is our greatest ally, and execution is our edge. We build as a team. We think long term. We aim for world class in everything we do. If you are exceptional at what you do - and ready to help redefine finance - we'd love to meet you.Are you ready to build what comes next? About the team We believe that small teams with the best talent outcompete massive companies with mediocre capabilities. That's why we have gathered a set of people who have done it before at iconic companies like Revolut, Uber, Amazon, Block and UBS: we owned some of the most loved and profitable products, delivered top notch transaction processing platforms, created beautiful mobile applications - and helped them become profitable companies that changed the lives of millions of people. In our quest to reshape the global financial system we have raised tens of millions of dollars from leading investors like Sequoia Capital, Founders Fund, Brevan Howard Digital, Y Combinator and Kaszek Ventures. Data Analyst - London Location London Employment Type Full time Location Type Hybrid Department What we're looking for Are you curious about how things work and motivated by uncovering insights hidden in data? As a Data Analyst at ARQ, you'll help us understand our business, customers, and operations through rigorous analysis and thoughtful storytelling. You'll explore data, detect patterns, and build the foundations for decisions that shape the future of our products and company. This is a role for someone early in their analytics career who wants to grow - learning how data drives product, financial, and strategic decisions in a fast paced fintech environment. What you'll be doing Explore and Analyze Data: Investigate user behavior, performance trends, and key metrics to uncover what's driving changes. Identify Anomalies and Opportunities: Spot unusual patterns or spikes and help the team understand their root causes. Reporting & Automation: Build and maintain dashboards and automated reports that make data accessible and reliable. Decision Support: Translate analytical findings into clear recommendations for product and operational improvements. Metric Design: Help define and refine the KPIs that matter most for our business and customer experience. Documentation: Keep analyses, methodologies, and assumptions well documented and reproducible. Modeling & Experimentation: Contribute to basic modeling tasks and structured experiments under guidance from senior analysts or data scientists. Continuous Learning: Expand your analytical toolkit and develop product sense through real world problem solving and mentorship. What you'll need 1-3 years of experience in analytics, data, or operations (internships count) Strong SQL skills for querying and exploring datasets Comfortable reading code and writing basic Python scripts for data manipulation, automation, and analysis Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow) Analytical curiosity and a structured approach to problem solving Good communication skills - able to explain insights clearly and visually Initiative to automate repetitive tasks and improve reporting workflows Interest in fintech, data driven decision making, and machine learning concepts Ambitious, high potential mindset with evidence of strong achievement, fast progression, or outstanding academic/professional performance Nice to have STEM degree preferred (e.g., Mathematics, Computer Science, Engineering, Physics, Economics, or related fields) Experience with BI or visualization tools (Metabase, Looker, etc.) Familiarity with dbt for building and maintaining data models, writing tests, and managing transformations Exposure to fraud, financial, or product analytics (any domain welcome) Spanish/Portuguese proficiency for internal and external communications. Own the development process that will face on the customer's impact Latest technology to work with Strong team that will help you improve your skills.
24/05/2026
Full time
We are building the financial system for the next century. One where control sits in the hands of customers - not banks. Where money moves on rails that are faster, smarter, and radically more efficient. Where wealth management tools help you grow your savings for decades - and build generational wealth. Where fewer intermediaries mean more value stays where it belongs: in our customers' pockets. We operate with long-term ambition and absolute conviction. We are not here to iterate on the past - we are here to redesign it. This is a defining moment to join us. We are building what we believe will become one of the most important financial institutions in the world. That requires exceptional talent, relentless standards, and people who care deeply about the work. At ARQ, we are turning the financial system upside down - starting in the Americas. We are nimble, but ambitious. We move fast, learn fast, and innovate relentlessly. Technology is our greatest ally, and execution is our edge. We build as a team. We think long term. We aim for world class in everything we do. If you are exceptional at what you do - and ready to help redefine finance - we'd love to meet you.Are you ready to build what comes next? About the team We believe that small teams with the best talent outcompete massive companies with mediocre capabilities. That's why we have gathered a set of people who have done it before at iconic companies like Revolut, Uber, Amazon, Block and UBS: we owned some of the most loved and profitable products, delivered top notch transaction processing platforms, created beautiful mobile applications - and helped them become profitable companies that changed the lives of millions of people. In our quest to reshape the global financial system we have raised tens of millions of dollars from leading investors like Sequoia Capital, Founders Fund, Brevan Howard Digital, Y Combinator and Kaszek Ventures. Data Analyst - London Location London Employment Type Full time Location Type Hybrid Department What we're looking for Are you curious about how things work and motivated by uncovering insights hidden in data? As a Data Analyst at ARQ, you'll help us understand our business, customers, and operations through rigorous analysis and thoughtful storytelling. You'll explore data, detect patterns, and build the foundations for decisions that shape the future of our products and company. This is a role for someone early in their analytics career who wants to grow - learning how data drives product, financial, and strategic decisions in a fast paced fintech environment. What you'll be doing Explore and Analyze Data: Investigate user behavior, performance trends, and key metrics to uncover what's driving changes. Identify Anomalies and Opportunities: Spot unusual patterns or spikes and help the team understand their root causes. Reporting & Automation: Build and maintain dashboards and automated reports that make data accessible and reliable. Decision Support: Translate analytical findings into clear recommendations for product and operational improvements. Metric Design: Help define and refine the KPIs that matter most for our business and customer experience. Documentation: Keep analyses, methodologies, and assumptions well documented and reproducible. Modeling & Experimentation: Contribute to basic modeling tasks and structured experiments under guidance from senior analysts or data scientists. Continuous Learning: Expand your analytical toolkit and develop product sense through real world problem solving and mentorship. What you'll need 1-3 years of experience in analytics, data, or operations (internships count) Strong SQL skills for querying and exploring datasets Comfortable reading code and writing basic Python scripts for data manipulation, automation, and analysis Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow) Analytical curiosity and a structured approach to problem solving Good communication skills - able to explain insights clearly and visually Initiative to automate repetitive tasks and improve reporting workflows Interest in fintech, data driven decision making, and machine learning concepts Ambitious, high potential mindset with evidence of strong achievement, fast progression, or outstanding academic/professional performance Nice to have STEM degree preferred (e.g., Mathematics, Computer Science, Engineering, Physics, Economics, or related fields) Experience with BI or visualization tools (Metabase, Looker, etc.) Familiarity with dbt for building and maintaining data models, writing tests, and managing transformations Exposure to fraud, financial, or product analytics (any domain welcome) Spanish/Portuguese proficiency for internal and external communications. Own the development process that will face on the customer's impact Latest technology to work with Strong team that will help you improve your skills.
Job Description The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting edge machine learning, real time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team. Vision Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists. Not only meet the requirements set by regulators and auditors but also surpass their expectations. Responsibilities Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph based models, Transformer based models. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross functional teams to integrate data science solutions into fraud prevention product offerings. Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use. Optimise and Evaluate: Conduct large scale training and hyper parameter tuning, and define performance metrics to ensure high quality model outputs. Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training. Documentation and Reporting: Communicate complex data findings to non technical stakeholders effectively. Document the development and maintenance processes for models and features.
24/05/2026
Full time
Job Description The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting edge machine learning, real time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts, and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team. Vision Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists. Not only meet the requirements set by regulators and auditors but also surpass their expectations. Responsibilities Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph based models, Transformer based models. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross functional teams to integrate data science solutions into fraud prevention product offerings. Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use. Optimise and Evaluate: Conduct large scale training and hyper parameter tuning, and define performance metrics to ensure high quality model outputs. Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training. Documentation and Reporting: Communicate complex data findings to non technical stakeholders effectively. Document the development and maintenance processes for models and features.
About the Role As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross functional influence. What You Will Do Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data driven decision making is embedded at the highest levels of the organization. Drive the development and adoption of next generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision making processes. Take ownership of the most complex, high profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimises the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. Skills & Experience Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands on experience with statistical modeling, (quasi) experimentation, multi arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering). Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature level metrics from scratch. Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with a proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross functional partners (e.g., Product, Engineering, Design). Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self service tools, or data products. Critical Thinking: Leader in critical thinking, demonstrating analysis of available facts, evidence, observations, and arguments in order to form a judgement by application of rational, skeptical, and unbiased analyses and evaluation. Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You Could Be an Especially Great Fit If You Have: Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two sided marketplace, e commerce, or the travel technology industry. Accessibility We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please reach out to your individual recruiter or our team at . Additional Information If you have any additional questions about careers at Tripadvisor you can email us at .
24/05/2026
Full time
About the Role As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross functional influence. What You Will Do Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data driven decision making is embedded at the highest levels of the organization. Drive the development and adoption of next generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision making processes. Take ownership of the most complex, high profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimises the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. Skills & Experience Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands on experience with statistical modeling, (quasi) experimentation, multi arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering). Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature level metrics from scratch. Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with a proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross functional partners (e.g., Product, Engineering, Design). Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self service tools, or data products. Critical Thinking: Leader in critical thinking, demonstrating analysis of available facts, evidence, observations, and arguments in order to form a judgement by application of rational, skeptical, and unbiased analyses and evaluation. Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You Could Be an Especially Great Fit If You Have: Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two sided marketplace, e commerce, or the travel technology industry. Accessibility We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please reach out to your individual recruiter or our team at . Additional Information If you have any additional questions about careers at Tripadvisor you can email us at .
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Backend Software Engineer National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. As a Backend Software Engineer, you'll enjoy delivering mission critical solutions to National Security customers. You'll develop cutting edge product that protects people, platforms, missions and information against constantly changing threats. You're a Backend Software Engineer that enjoys developing novel products; leading, innovating and inventing by bringing the physical and digital together. You will be technologically curious, willing and able to tactically upskill on new technologies. You will have the opportunity to join an existing team working on feature development and maintenance of a critical National Security project. Ultimately, you'll work alongside our Engineering teams and clients to solve their complex and unique challenges. Responsibilities Writing clean, secure code to appropriate coding standards Translate logical designs into working software Contribute to code reviews Produce detailed designs Effectively develop, document & test Work with well understood and emerging technologies and identify appropriate patterns Required skills Python Linux Bash scripting Git Docker Desirable skills Use of middleware technologies such as Apache Pulsar or Kafka Awareness of Agile/Scrum ways of working Atlassian or GitLab type tooling CI/CD pipelines Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act - through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe - that's our mission, passion, and motivation. Where you'll work ROMSEY - Located within beautiful Hampshire countryside, close to the picturesque New Forest District and not far from a superb stretch of the south coast. This is no corporate concrete jungle; this is a manor house site, with ample parking an on site gym and a driveway full of daffodils in the spring. Due to the nature of this role, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the U.K. for the last 10 years. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you.
23/05/2026
Full time
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Backend Software Engineer National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. As a Backend Software Engineer, you'll enjoy delivering mission critical solutions to National Security customers. You'll develop cutting edge product that protects people, platforms, missions and information against constantly changing threats. You're a Backend Software Engineer that enjoys developing novel products; leading, innovating and inventing by bringing the physical and digital together. You will be technologically curious, willing and able to tactically upskill on new technologies. You will have the opportunity to join an existing team working on feature development and maintenance of a critical National Security project. Ultimately, you'll work alongside our Engineering teams and clients to solve their complex and unique challenges. Responsibilities Writing clean, secure code to appropriate coding standards Translate logical designs into working software Contribute to code reviews Produce detailed designs Effectively develop, document & test Work with well understood and emerging technologies and identify appropriate patterns Required skills Python Linux Bash scripting Git Docker Desirable skills Use of middleware technologies such as Apache Pulsar or Kafka Awareness of Agile/Scrum ways of working Atlassian or GitLab type tooling CI/CD pipelines Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act - through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe - that's our mission, passion, and motivation. Where you'll work ROMSEY - Located within beautiful Hampshire countryside, close to the picturesque New Forest District and not far from a superb stretch of the south coast. This is no corporate concrete jungle; this is a manor house site, with ample parking an on site gym and a driveway full of daffodils in the spring. Due to the nature of this role, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the U.K. for the last 10 years. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you.
Python Developer - Insurance analytics Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week . LCP is an award winning actuarial and analytics consultancy providing market leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future. We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award winning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over £200bn of non life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further. You'll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved. Our team consists of: 1 Product manager 4 C# developers 2 Python developers 1 Actuarial data scientist 2 Front end developers 1 DevOps and site reliability engineer 3 QA Engineers You will have the benefit of the guidance of our actuarial data scientists, Python developer and product manager, but also the opportunity to take ownership of your work. This is a mid level role for someone looking to deepen their Python and software engineering skills whilst working in a domain rich environment. Key Responsibilities: Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets) Review and provide feedback on code written by other developers, support mentoring and skill development across the team Champion best practices in software engineering including testing, version control, CI/CD, and OOP Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry relevant features Research and prototype new technologies to support innovation and continuous improvement Contribute to a culture of curiosity, collaboration and technical excellence Skills and Experience: Strong Python development experience, with a track record of writing production grade, maintainable code Experience working with large datasets and performance critical workloads Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB Comfort with software engineering best practices: automated testing, version control, CI/CD, OOP Proactive, problem solving mindset with a focus on performance and user experience Exposure to actuarial or non life insurance analytics, or an interest in domain rich environment Experience picking up complex and unfamiliar analytical concepts What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a multi award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro ratio for part time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities For the environment: Electric vehicle salary sacrifice scheme (qualifying period applies) And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - to discuss how we can support you with your application. Recruitment agencies LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the right to contact these candidates directly and have discussions with them without paying any agency fees. We do not pay agency fees when speculative and unsolicited CVs are submitted to any employee or Partner at LCP.
23/05/2026
Full time
Python Developer - Insurance analytics Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week . LCP is an award winning actuarial and analytics consultancy providing market leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future. We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award winning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over £200bn of non life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further. You'll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved. Our team consists of: 1 Product manager 4 C# developers 2 Python developers 1 Actuarial data scientist 2 Front end developers 1 DevOps and site reliability engineer 3 QA Engineers You will have the benefit of the guidance of our actuarial data scientists, Python developer and product manager, but also the opportunity to take ownership of your work. This is a mid level role for someone looking to deepen their Python and software engineering skills whilst working in a domain rich environment. Key Responsibilities: Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets) Review and provide feedback on code written by other developers, support mentoring and skill development across the team Champion best practices in software engineering including testing, version control, CI/CD, and OOP Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry relevant features Research and prototype new technologies to support innovation and continuous improvement Contribute to a culture of curiosity, collaboration and technical excellence Skills and Experience: Strong Python development experience, with a track record of writing production grade, maintainable code Experience working with large datasets and performance critical workloads Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB Comfort with software engineering best practices: automated testing, version control, CI/CD, OOP Proactive, problem solving mindset with a focus on performance and user experience Exposure to actuarial or non life insurance analytics, or an interest in domain rich environment Experience picking up complex and unfamiliar analytical concepts What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a multi award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro ratio for part time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday Private medical insurance Discounted gym memberships, critical illness and dental insurance through our flexible benefits Eye care vouchers Cycle to work scheme Digital GP services For your wealth: Competitive pension scheme Discretionary bonus scheme High street discounts Season ticket loans For others: Volunteering opportunities For the environment: Electric vehicle salary sacrifice scheme (qualifying period applies) And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - to discuss how we can support you with your application. Recruitment agencies LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the right to contact these candidates directly and have discussions with them without paying any agency fees. We do not pay agency fees when speculative and unsolicited CVs are submitted to any employee or Partner at LCP.
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Wednesday 14 January 2026 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. At Roke Roke imagines a more secure world where technology protects, where engineers, consultants and business staff collaborate to protect what matters most to our clients. Roke is a leader in the development of cutting edge technology solutions for the defence industry with clients spanning National Security, Defence and Intelligence areas. We work alongside our customers to solve their complex and unique challenges. Roke's Defence Business Unit provides technology innovation and consultancy to a variety of military users, applying our skills in Cyber & Networks, Agile Software, Consulting & Systems Engineering, Sensors & Communications, AI & Machine Learning, Information Assurance & Human Science and Data Science. The Job Opportunity Roke is seeking a Software Engineer to join a team working on software for products in the RF communication and sensors domain. You will be responsible for the detailed design, implementation and testing of components of the product software, working with the agile team Product Owner and System Design Authority. The role requires individuals who can work closely with an agile software team, applying their technical knowledge and domain experience, whilst communicating effectively with a wide range of internal and external stakeholders. There is a degree of flexibility as to the agile tasking within the agile software team, depending on your expertise, the role can flex to focus either on Modern UI design and implementation or Embedded software development. For the right candidate with team leadership or line management experience, the role could also entail a line management component. This aspect would involve responsibility for the day to day support and guidance of his team, reporting on performance and helping with resourcing. Individuals must be able to work effectively in a highly technically challenging but rewarding environment, able to quickly assess trade offs and lead on technical decision making. Key Responsibilities As a Software Engineer your responsibilities will include: Detailed design of components of the product software Implementation and testing of software as part of an agile software team Gaining understanding of existing Roke EW system products and future development agendas. Essential skills will include BEng/BSc and/or master's degree in an appropriate engineering, computer science, information systems or related subject. Knowledge of Sensor and Communication systems. Software engineering experience from R&D concept through to the full product development lifecycle Modern software architecture practices Experience of some kind of scientific application/DSP, including algorithm implementation Capability in multiple languages and switching between languages rapidly, e.g. C++/C#/Python Comfortable with modern agile development practices e.g. Scrum/Kanban Comfortable with modern software tooling e.g. Gitlab, Git, VS Code Ideally you will have experience in some of the following Experience of modern UI design. Embedded software development (cross compiling, deployment). Linux OS and tools, kernel drivers DevOps (Gitlab CI/CD scripting, pipelines, Docker) Team Leadership or Line Management experience Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection and Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies and techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive. We will consider flexible working arrangements and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, the candidate should be a British Citizen and have resided in the UK for the last 5 years for SC. The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom
23/05/2026
Full time
Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Wednesday 14 January 2026 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. At Roke Roke imagines a more secure world where technology protects, where engineers, consultants and business staff collaborate to protect what matters most to our clients. Roke is a leader in the development of cutting edge technology solutions for the defence industry with clients spanning National Security, Defence and Intelligence areas. We work alongside our customers to solve their complex and unique challenges. Roke's Defence Business Unit provides technology innovation and consultancy to a variety of military users, applying our skills in Cyber & Networks, Agile Software, Consulting & Systems Engineering, Sensors & Communications, AI & Machine Learning, Information Assurance & Human Science and Data Science. The Job Opportunity Roke is seeking a Software Engineer to join a team working on software for products in the RF communication and sensors domain. You will be responsible for the detailed design, implementation and testing of components of the product software, working with the agile team Product Owner and System Design Authority. The role requires individuals who can work closely with an agile software team, applying their technical knowledge and domain experience, whilst communicating effectively with a wide range of internal and external stakeholders. There is a degree of flexibility as to the agile tasking within the agile software team, depending on your expertise, the role can flex to focus either on Modern UI design and implementation or Embedded software development. For the right candidate with team leadership or line management experience, the role could also entail a line management component. This aspect would involve responsibility for the day to day support and guidance of his team, reporting on performance and helping with resourcing. Individuals must be able to work effectively in a highly technically challenging but rewarding environment, able to quickly assess trade offs and lead on technical decision making. Key Responsibilities As a Software Engineer your responsibilities will include: Detailed design of components of the product software Implementation and testing of software as part of an agile software team Gaining understanding of existing Roke EW system products and future development agendas. Essential skills will include BEng/BSc and/or master's degree in an appropriate engineering, computer science, information systems or related subject. Knowledge of Sensor and Communication systems. Software engineering experience from R&D concept through to the full product development lifecycle Modern software architecture practices Experience of some kind of scientific application/DSP, including algorithm implementation Capability in multiple languages and switching between languages rapidly, e.g. C++/C#/Python Comfortable with modern agile development practices e.g. Scrum/Kanban Comfortable with modern software tooling e.g. Gitlab, Git, VS Code Ideally you will have experience in some of the following Experience of modern UI design. Embedded software development (cross compiling, deployment). Linux OS and tools, kernel drivers DevOps (Gitlab CI/CD scripting, pipelines, Docker) Team Leadership or Line Management experience Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection and Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies and techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive. We will consider flexible working arrangements and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, the candidate should be a British Citizen and have resided in the UK for the last 5 years for SC. The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom
We are seeking a highly skilled Data Scientist with strong expertise in Microsoft Power BI, advanced analytics, data modelling, and machine learning. You will work closely with cross functional teams to develop data-driven solutions, create high-quality reporting products, and deliver actionable insights that directly support strategic business decisions. This role is ideal for someone who combines technical depth with strong communication and business awareness. What you'll do Power BI Development Develop, maintain, and optimise reports using Power BI Desktop Build robust data models using Dataflows and Semantic Models Apply strong expertise in Power Query and DAX for data transformation Create and manage Paginated Reports in Power BI Report Builder Deploy reporting solutions through Power BI capacities, deployment pipelines, and organisational apps Translate high level design requirements into intuitive, visually impactful dashboards Data Science & Advanced Analytics Apply advanced algorithms and modelling techniques to analyse complex datasets Use machine learning, AI algorithms, and deep learning methods to solve business problems Write high quality, efficient Python code using relevant libraries for data analysis and modelling Build, evaluate, and optimise predictive models and statistical solutions Analytical & Problem Solving Troubleshoot and resolve complex data and reporting issues Validate assumptions using strong analytical and critical thinking skills Work closely with business stakeholders, technical teams, and product owners Gather business requirements and translate them into scalable technical solutions Communicate complex analytical concepts clearly to non technical stakeholders DevOps / CI/CD Apply DevOps practices to enhance analytics and reporting workflows Work with Azure DevOps or similar platforms for CI/CD pipelines and version control Contribute to automation, testing, and deployment of data products What to bring Extensive experience with the Power BI ecosystem (Desktop, Service, Dataflows, Semantic Models) Strong knowledge of Power Query, DAX, and data modelling best practices Experience with Paginated Reports and enterprise reporting Understanding of capacity management, governance models, and structured deployment processes Ability to design intuitive, user friendly, and aesthetically strong dashboards Hands on experience with ML, AI, and deep learning techniques Practical understanding of supervised, unsupervised, and reinforcement learning Experience with Python, including pandas, NumPy, scikit learn, TensorFlow, or PyTorch Background in model development, testing, optimisation, and evaluation Knowledge of feature engineering and handling unstructured data is advantageous Experience with ETL/ELT processes and data pipeline development Strong SQL skills and experience working with relational databases Familiarity with cloud data services such as Azure Data Lake, Azure SQL, or Synapse Knowledge of data governance, reliability, and security best practices Analytical & Problem Solving Excellent ability to interpret complex datasets and deliver meaningful insights Strong ability to debug and troubleshoot data, modelling, and reporting challenges Proven analytical mindset with attention to detail Ability to work effectively with cross functional teams Confident presenting insights to senior and non technical audiences DevOps, CI/CD & Cloud Hands on experience with Azure DevOps or similar tools Understanding of version control, branching strategies, and automated workflows Experience deploying ML or analytics solutions into production environments Knowledge of MLOps principles is a plus Preferred Certifications Microsoft Certified: Power BI Data Analyst Associate Additional cloud or data certifications (Azure, AWS, GCP) are beneficial What You'll Get in Return: For employees, we're committed to recognising and rewarding hard work. Our competitive salary and benefits package includes; Company Pension Scheme, Private Medical & Dental Insurance, Group Income Protection, Group Life Assurance, Cycle to Work and Electric Car Salary Sacrifice Scheme. We also invest in your development. If you choose to self study in your own time, we'll fund your study materials and exam fees - and once you pass, you'll receive an incentive bonus. How to Apply We're committed to creating an inclusive and accessible recruitment process.If you have any access needs or require adjustments at any stage of the application or assessment process, please let us know - we're happy to support you. Please note:All offers of employment will be subject to background checks and confirmation of the right to work in the UK. Contract Type: Contract or Permanent considered Apply nowto be part of a team that values initiative, collaboration, and continuous improvement; Talk to us today to explore how we can support your organisation's technology needs.
23/05/2026
Full time
We are seeking a highly skilled Data Scientist with strong expertise in Microsoft Power BI, advanced analytics, data modelling, and machine learning. You will work closely with cross functional teams to develop data-driven solutions, create high-quality reporting products, and deliver actionable insights that directly support strategic business decisions. This role is ideal for someone who combines technical depth with strong communication and business awareness. What you'll do Power BI Development Develop, maintain, and optimise reports using Power BI Desktop Build robust data models using Dataflows and Semantic Models Apply strong expertise in Power Query and DAX for data transformation Create and manage Paginated Reports in Power BI Report Builder Deploy reporting solutions through Power BI capacities, deployment pipelines, and organisational apps Translate high level design requirements into intuitive, visually impactful dashboards Data Science & Advanced Analytics Apply advanced algorithms and modelling techniques to analyse complex datasets Use machine learning, AI algorithms, and deep learning methods to solve business problems Write high quality, efficient Python code using relevant libraries for data analysis and modelling Build, evaluate, and optimise predictive models and statistical solutions Analytical & Problem Solving Troubleshoot and resolve complex data and reporting issues Validate assumptions using strong analytical and critical thinking skills Work closely with business stakeholders, technical teams, and product owners Gather business requirements and translate them into scalable technical solutions Communicate complex analytical concepts clearly to non technical stakeholders DevOps / CI/CD Apply DevOps practices to enhance analytics and reporting workflows Work with Azure DevOps or similar platforms for CI/CD pipelines and version control Contribute to automation, testing, and deployment of data products What to bring Extensive experience with the Power BI ecosystem (Desktop, Service, Dataflows, Semantic Models) Strong knowledge of Power Query, DAX, and data modelling best practices Experience with Paginated Reports and enterprise reporting Understanding of capacity management, governance models, and structured deployment processes Ability to design intuitive, user friendly, and aesthetically strong dashboards Hands on experience with ML, AI, and deep learning techniques Practical understanding of supervised, unsupervised, and reinforcement learning Experience with Python, including pandas, NumPy, scikit learn, TensorFlow, or PyTorch Background in model development, testing, optimisation, and evaluation Knowledge of feature engineering and handling unstructured data is advantageous Experience with ETL/ELT processes and data pipeline development Strong SQL skills and experience working with relational databases Familiarity with cloud data services such as Azure Data Lake, Azure SQL, or Synapse Knowledge of data governance, reliability, and security best practices Analytical & Problem Solving Excellent ability to interpret complex datasets and deliver meaningful insights Strong ability to debug and troubleshoot data, modelling, and reporting challenges Proven analytical mindset with attention to detail Ability to work effectively with cross functional teams Confident presenting insights to senior and non technical audiences DevOps, CI/CD & Cloud Hands on experience with Azure DevOps or similar tools Understanding of version control, branching strategies, and automated workflows Experience deploying ML or analytics solutions into production environments Knowledge of MLOps principles is a plus Preferred Certifications Microsoft Certified: Power BI Data Analyst Associate Additional cloud or data certifications (Azure, AWS, GCP) are beneficial What You'll Get in Return: For employees, we're committed to recognising and rewarding hard work. Our competitive salary and benefits package includes; Company Pension Scheme, Private Medical & Dental Insurance, Group Income Protection, Group Life Assurance, Cycle to Work and Electric Car Salary Sacrifice Scheme. We also invest in your development. If you choose to self study in your own time, we'll fund your study materials and exam fees - and once you pass, you'll receive an incentive bonus. How to Apply We're committed to creating an inclusive and accessible recruitment process.If you have any access needs or require adjustments at any stage of the application or assessment process, please let us know - we're happy to support you. Please note:All offers of employment will be subject to background checks and confirmation of the right to work in the UK. Contract Type: Contract or Permanent considered Apply nowto be part of a team that values initiative, collaboration, and continuous improvement; Talk to us today to explore how we can support your organisation's technology needs.
Overview The Product Analytics and Experimentation team sits within the Data & Analytics directorate in the Technology department. Our mission is to deliver insightful and actionable data through reporting, analysis, and experimentation, establishing best practice processes and enabling data driven decision making across supported product teams such as the Tesco Groceries & Clubcard app and store self checkout tills. The team supports the world's leading e commerce business by driving innovation through best practice tools and technology. We need people passionate about delivering for customers, confident, initiative driven, and ready to grow the Product and the Analytics function. The role can be based in Welwyn Garden City or Farringdon, London. Key Responsibilities Form and nurture relationships with Product Managers and Data Scientists; help define objectives and key results, set targets, analyse product releases, define and validate hypotheses, and recommend growth and improvement opportunities. Execute end to end analysis: gather and shape requirements; define success metrics; identify and validate data sources and analysis methods; deliver insights and liaise with the business to ensure recommendations are delivered. Demonstrate ownership, responsiveness and commitment to work. Make data based decisions, especially when multiple trade offs are involved and fast decision making is required. Coach and mentor junior colleagues and peers in the team, including direct reports. Use data from multiple sources to identify trends, reveal new opportunities, and answer business questions. Represent the team confidently and competently when needed. Understand the commercial impact of recommendations and insights. Identify unstructured problems and articulate opportunities for new analytics projects. Provide context to analyses by incorporating external data for comparison (industry benchmarks). Follow the Business Code of Conduct, act with integrity and due diligence. Work effectively with multi disciplinary teams and contribute to all phases of the product development lifecycle. Articulate complex concepts to a diverse audience; excel in verbal and written communication. Influence without authority. Requirements Experience in digital or product analytics positions. University degree of 2:1 or higher in a quantitative discipline, or relevant experience. Commercial awareness. Champion of digital analytics tools. Proficiency with big data, business intelligence and data visualisation. Experience with online visitor segmentation and statistical modelling techniques. Advanced online data collection. Advanced SQL skills. Advanced ETL (cleansing, etc.). Conceptual thinking across platforms (desktop, mobile, tablet) and channels (online, in store). Personal Attributes Flexibility, ability to plan and organise, responsiveness, creativity, self starter. Ability to build solid working relationships with peers and senior leadership. Strong written, verbal and presentation skills to all levels of seniority and disciplines. Equal Opportunity We are committed to equality, diversity and inclusion. All candidates are welcome to apply.
23/05/2026
Full time
Overview The Product Analytics and Experimentation team sits within the Data & Analytics directorate in the Technology department. Our mission is to deliver insightful and actionable data through reporting, analysis, and experimentation, establishing best practice processes and enabling data driven decision making across supported product teams such as the Tesco Groceries & Clubcard app and store self checkout tills. The team supports the world's leading e commerce business by driving innovation through best practice tools and technology. We need people passionate about delivering for customers, confident, initiative driven, and ready to grow the Product and the Analytics function. The role can be based in Welwyn Garden City or Farringdon, London. Key Responsibilities Form and nurture relationships with Product Managers and Data Scientists; help define objectives and key results, set targets, analyse product releases, define and validate hypotheses, and recommend growth and improvement opportunities. Execute end to end analysis: gather and shape requirements; define success metrics; identify and validate data sources and analysis methods; deliver insights and liaise with the business to ensure recommendations are delivered. Demonstrate ownership, responsiveness and commitment to work. Make data based decisions, especially when multiple trade offs are involved and fast decision making is required. Coach and mentor junior colleagues and peers in the team, including direct reports. Use data from multiple sources to identify trends, reveal new opportunities, and answer business questions. Represent the team confidently and competently when needed. Understand the commercial impact of recommendations and insights. Identify unstructured problems and articulate opportunities for new analytics projects. Provide context to analyses by incorporating external data for comparison (industry benchmarks). Follow the Business Code of Conduct, act with integrity and due diligence. Work effectively with multi disciplinary teams and contribute to all phases of the product development lifecycle. Articulate complex concepts to a diverse audience; excel in verbal and written communication. Influence without authority. Requirements Experience in digital or product analytics positions. University degree of 2:1 or higher in a quantitative discipline, or relevant experience. Commercial awareness. Champion of digital analytics tools. Proficiency with big data, business intelligence and data visualisation. Experience with online visitor segmentation and statistical modelling techniques. Advanced online data collection. Advanced SQL skills. Advanced ETL (cleansing, etc.). Conceptual thinking across platforms (desktop, mobile, tablet) and channels (online, in store). Personal Attributes Flexibility, ability to plan and organise, responsiveness, creativity, self starter. Ability to build solid working relationships with peers and senior leadership. Strong written, verbal and presentation skills to all levels of seniority and disciplines. Equal Opportunity We are committed to equality, diversity and inclusion. All candidates are welcome to apply.
Job Title: Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £54,000- £81,000 Location: Eastleigh and Reigate Closing Date for applications: 18th April Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, we design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and Experience Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end to end data modelling experience Experience building batch and real-time data integrations Hands on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude Benefits Flexible working - Smart Working within the UK and work day flexibility. Part time/Job share options. Minimum 35 days holiday (including bank holidays) with option to buy/sell days. Health benefits - Dental insurance, Health Cash Plan, Health screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well being activities - mindfulness. Wealth benefits - 50% off motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Work life - Well being activities, mindfulness sessions, Sports and Social Club events. Family support - Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non pregnant parent/co adopter at 8 weeks' full pay. Benefits for them - Partner Life Assurance and Critical Illness cover. Tech deals - Deals on gadgets including wearables, tablets, laptops. Getting around - Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Back to work - Return to work programme after maternity leave. Equal Opportunity We are an inclusive employer, encouraging anyone to apply. We are a signatory of Race at Work Charter, Women in Finance Charter, and member of iCAN, GAIN. We are a Disability Confident Leader and provide support and adjustments during recruitment.
23/05/2026
Full time
Job Title: Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £54,000- £81,000 Location: Eastleigh and Reigate Closing Date for applications: 18th April Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, we design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and Experience Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end to end data modelling experience Experience building batch and real-time data integrations Hands on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude Benefits Flexible working - Smart Working within the UK and work day flexibility. Part time/Job share options. Minimum 35 days holiday (including bank holidays) with option to buy/sell days. Health benefits - Dental insurance, Health Cash Plan, Health screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well being activities - mindfulness. Wealth benefits - 50% off motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Work life - Well being activities, mindfulness sessions, Sports and Social Club events. Family support - Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non pregnant parent/co adopter at 8 weeks' full pay. Benefits for them - Partner Life Assurance and Critical Illness cover. Tech deals - Deals on gadgets including wearables, tablets, laptops. Getting around - Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Back to work - Return to work programme after maternity leave. Equal Opportunity We are an inclusive employer, encouraging anyone to apply. We are a signatory of Race at Work Charter, Women in Finance Charter, and member of iCAN, GAIN. We are a Disability Confident Leader and provide support and adjustments during recruitment.
