73 jobs found

Share pages with your social network (twitter) guest\_id, k, \_twitter\_sess, original\_referer (facebook) datr, lu (g+1) PREF, SID, HSID, SSID TribePad - this allows you to login to our social recruitment management platform trackerToken-4 - this is similar to Google Analytics but specifically allows us to determine which of our marketing activities from which you found our website. visitToken-4 - this is similar to Google Analytics but specifically allows us to determine which of our marketing activities from which you found our website. youWantTheCookie remember your preferences (such as language); monitor the general performance of our visitors' experience when on our website - this information then allows us to improve the usability of our website for you and all our other visitors; store essential information to allow you to register and/or login to our site; allow you to share any of our website's pages with your social networks - but only if you explicitly choose to. Google Analytics Description Google Analytics is a web analytics service provided by Google, Inc. ("Google"), to help us see how our website is used. The data collected by Google Analytics is used to analyse how frequently the same people revisit the website, how the website is found (for example, from a search engine or from a job board), and which pages are most (and least) frequently viewed. This information is combined with data from every visitor to create an overall picture of website use, and is never identified individually or personally and is not linked to any other information we store about you. Google features for generating maps and CAPTCHA images Corpay is currently looking to hire a Software Engineer within our Alpha division. This position falls under our Cross Border line of business and is located in London. In this role, you will contribute to the design and development of our eMoney and FX payment systems. You will report directly to the Engineering Manager and collaborate closely with Product, Design, and Engineering teams. Role Responsibilities • Collaborate with engineering managers, designers, and product teams to gather and analyse requirements, implement technical standards, ensuring best practices and alignment with UI/UX principles.• Implement features based on requirements gathered from cross-functional teams, aligning them with business needs and technical objectives.• Mentor junior engineers by providing constructive feedback, sharing knowledge, and fostering professional growth within the team. Qualifications & Skills • Bachelor's degree in Computer Science, Engineering, Finance, or a related field, or equivalent relevant experience.• Minimum of 5 years of experience in software engineering, with at least1-2years in a Software Engineer role within fintech, asset management, FX, payment processing, or eMoney sectors.• Strong experience building modern, scalable frontend applications using React and TypeScript, with a deep understanding of component design, state management, performance, and accessibility.• Experience using modern frontend build tools and frameworks such as Vite, and familiarity with contemporary frontend workflows and tooling.• Ability to build responsive, accessible, and reusable UI components based on Figma designs, with a strong understanding of UI/UX principles.• Experience with styling approaches such as TailwindCSS, SCSS, or CSS-in-JS, and understanding of cross-browser compatibility.• Working knowledge of backend development using Node.js and TypeScript, with the ability to contribute to services built with NestJS or similar frameworks when required.• Experience deploying and maintaining services on cloud platforms, preferably AWS (e.g., Lambda, API Gateway, S3, DynamoDB), and working with CI/CD pipelines using tools like GitHub Actions, CircleCI, or AWS CodePipeline.• Familiarity with modern testing practices and tools (e.g., Jest, Vitest), including writing unit and integration tests.• Basic understanding of secure development practices and familiarity with threat modelling and risk assessment techniques.• Good time management and organisational skills, with the ability to work on multiple tasks simultaneously.• Effective verbal and written communication skills, with the ability to explain technical concepts to technical and non-technical colleagues.• A collaborative mindset, with a proven ability to work well within teams and build strong working relationships across departments. Benefits & Perks

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.

About the Role As a Junior Machine Learning Engineer at Recraft, you will have the opportunity to work on real world AI applications, gaining hands on experience in model development, data collection, evaluation, and production deployment. You will collaborate with research scientists, engineers, and product teams to help enhance Recraft's AI driven creative tools. If you are passionate about machine learning, deep learning, and AI driven applications, this is a great opportunity to learn and contribute to impactful projects. Key Responsibilities Assist in training, testing, and evaluating machine learning models for real world applications. Support data collection and processing for model development. Conduct experiments and model evaluations, helping improve accuracy and efficiency. Develop and train large scale generative models, pushing the boundaries of AI capabilities. Work closely with ML engineers and researchers to implement AI techniques into production workflows. Stay updated with the latest trends in AI and deep learning, contributing fresh ideas to the team. Qualifications Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Machine Learning, AI, or a related field. Reliable Python coding skills. Knowledge and understanding of foundational deep learning concepts, possibly in application to computer vision, NLP, or speech synthesis or recognition. Experience with data preprocessing and model evaluation. Familiarity with MLOps tools is a plus. Strong analytical skills and ability to work in a collaborative, fast paced environment. What We Offer Real ML work from day one - not toy tasks, but production systems that solve actual problems. Close mentorship from engineers and researchers who've built and shipped AI at scale. A front row seat to how AI products grow: you'll see the full picture, not just your corner of it. A team that debates ideas, moves fast, and genuinely enjoys what it builds. Full time, on site in London - because the best breakthroughs still happen in the same room. Skilled Worker visa sponsorship available for the right candidate.

Junior ICT Field Engineer North/North-West London £24,000 - £32,000 Mileage Phone 5 weeks holiday Hours: 9.00am-5.00pm Mon-Fri We're looking for a personable and reliable Junior ICT Field Engineer to support a number of schools in the North London area. This is a field-based role, where you will get the opportunity to learn and grow from senior engineers. You'll visit schools on a rota, delivering day-to-day ICT support, installations, troubleshooting, and preventative maintenance. Key Responsibilities Visit multiple primary school sites on a scheduled rota Troubleshoot and resolve ICT faults Carry out minor repairs and maintenance of ICT equipment Support and maintain network infrastructure and peripherals Escalate complex issues to the service desk where required Technologies & Equipment: Servers, desktops, and laptops Interactive screens/whiteboards (Smart, Promethean, etc.) Printers, speakers, amplifiers, visualisers Cameras, webcams, VoIP phones (connectivity support only) Tablets (iPads, Windows tablets), Chromebooks Network infrastructure and peripherals Essential Requirements Experience working within an IT role in a school Some knowledge of Active Directory & Windows Excellent customer-facing and communication skills Highly motivated and able to work using your own initiative Own transport required DBS desirable (DBS check will be funded if required) Please apply or contact Altered Resourcing for more info.

# Junior Data Analyst (Temp June-Sept 26) Data and Analytics Junior Data Analyst (Temp June-Sept 26)Sheffield City Centre (fully office-based) £25,878 - £30,000 pa pro rata DOE Fixed-term (early June 2026 - 25th September 2026) UniHomes is looking for a Junior Data Analyst to join the Data team on a temporary basis and help us progress a backlog of analytical projects that will materially improve how we understand utility consumption, pricing assumptions and property level performance. This is a hands on analytical role with real visibility. You'll work on a defined set of self contained projects, with prepared datasets supplied by the existing team and senior validation of every output before it is used. You won't need to navigate the full UniHomes data stack - the focus is on doing thoughtful, well documented analysis on data that has been pre prepared for you. The projects you'll lead on are quantitative in nature: understanding the relationship between weather and energy usage, improving annual consumption assumptions, modelling how consumption phases across the year, building an initial view of water usage, and testing whether square footage is a better predictor of energy use than bedroom count. Each project has a clearly defined question, output and reviewer. Reporting into the Head of Commercial Strategy, Performance and Data and working day to day with our senior data and utilities team, you'll be supported through weekly check ins, structured briefs and clear documentation expectations. This is an excellent first, fixed term role for a quantitative graduate or penultimate year student who wants to see how data analysis directly supports commercial decision making. Key responsibilities: Lead delivery of a defined set of analytical projects, including weather to usage correlation, annual gas and electric consumption assumptions, usage curves, water usage assumptions, and square footage vs energy use. Work with pre prepared datasets provided by the senior team - no direct work in Snowflake, Salesforce, Tableau or dbt required. Test relationships in the data and produce clear, evidenced outputs - segmented where data allows by group size, EPC, heating type, location and property type. Document methodology, assumptions, sample sizes, exclusions and limitations for every piece of analysis. Label outputs clearly as exploratory, validated, recommendation or operational, and route them to the named senior reviewer before use. Attend weekly check ins to share progress, raise data issues and surface early findings. Save working files and methodology notes so analysis can be picked up later by the permanent team. Provide clear, written hand over of completed projects at the end of the contract. Skills and experience: Recent graduate or penultimate/final year undergraduate in a quantitative discipline - Mathematics, Statistics, Data Science, Data Analytics, Economics (quantitative pathway), Physics, Engineering, Energy Studies, Environmental Science, Computer Science (analytics focus), Actuarial Science or similar. Confident with Excel or Sheets; exposure to SQL or Python is desirable but not essential. Comfortable testing relationships in structured data and presenting findings clearly. Strong attention to detail and a habit of documenting what you've done and why. Curious, organised and willing to ask questions when something doesn't look right. Interest in utilities, property, energy data or the student housing sector is desirable but not essential. About us: At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen What do you get when you work here? With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work (GPTW) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.

# Junior Data Analyst (Temp June-Sept 26) Data and Analytics Junior Data Analyst (Temp June-Sept 26)Sheffield City Centre (fully office-based) £25,878 - £30,000 pa pro rata DOE Fixed-term (early June 2026 - 25th September 2026) UniHomes is looking for a Junior Data Analyst to join the Data team on a temporary basis and help us progress a backlog of analytical projects that will materially improve how we understand utility consumption, pricing assumptions and property level performance. This is a hands on analytical role with real visibility. You'll work on a defined set of self contained projects, with prepared datasets supplied by the existing team and senior validation of every output before it is used. You won't need to navigate the full UniHomes data stack - the focus is on doing thoughtful, well documented analysis on data that has been pre prepared for you. The projects you'll lead on are quantitative in nature: understanding the relationship between weather and energy usage, improving annual consumption assumptions, modelling how consumption phases across the year, building an initial view of water usage, and testing whether square footage is a better predictor of energy use than bedroom count. Each project has a clearly defined question, output and reviewer. Reporting into the Head of Commercial Strategy, Performance and Data and working day to day with our senior data and utilities team, you'll be supported through weekly check ins, structured briefs and clear documentation expectations. This is an excellent first, fixed term role for a quantitative graduate or penultimate year student who wants to see how data analysis directly supports commercial decision making. Key responsibilities: Lead delivery of a defined set of analytical projects, including weather to usage correlation, annual gas and electric consumption assumptions, usage curves, water usage assumptions, and square footage vs energy use. Work with pre prepared datasets provided by the senior team - no direct work in Snowflake, Salesforce, Tableau or dbt required. Test relationships in the data and produce clear, evidenced outputs - segmented where data allows by group size, EPC, heating type, location and property type. Document methodology, assumptions, sample sizes, exclusions and limitations for every piece of analysis. Label outputs clearly as exploratory, validated, recommendation or operational, and route them to the named senior reviewer before use. Attend weekly check ins to share progress, raise data issues and surface early findings. Save working files and methodology notes so analysis can be picked up later by the permanent team. Provide clear, written hand over of completed projects at the end of the contract. Skills and experience: Recent graduate or penultimate/final year undergraduate in a quantitative discipline - Mathematics, Statistics, Data Science, Data Analytics, Economics (quantitative pathway), Physics, Engineering, Energy Studies, Environmental Science, Computer Science (analytics focus), Actuarial Science or similar. Confident with Excel or Sheets; exposure to SQL or Python is desirable but not essential. Comfortable testing relationships in structured data and presenting findings clearly. Strong attention to detail and a habit of documenting what you've done and why. Curious, organised and willing to ask questions when something doesn't look right. Interest in utilities, property, energy data or the student housing sector is desirable but not essential. About us: At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen What do you get when you work here? With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work (GPTW) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.

# Junior Commercial Data Analyst (Temp June-Sept 26) Data and Analytics Junior Commercial Data Analyst (Temp June-Sept 26)Sheffield City Centre (fully office-based) £25,878 - £30,000 pa pro rata DOE Fixed-term (early June 2026 - 25th September 2026) UniHomes is looking for a Junior Commercial Analyst to join the Commercial & Data team on a temporary basis and help us progress a backlog of analytical projects that will sharpen how we price, benchmark against competitors and report internal performance. This is a hands on, commercially flavoured analytical role with real visibility. You'll work on a defined set of self contained projects, with prepared datasets and source pointers supplied by the existing team and senior validation of every output before it is used. You won't need to navigate the full UniHomes data stack - the focus is on doing thoughtful, well structured commercial analysis and presenting it clearly. The projects you'll lead on are commercially oriented: building a repeatable competitor pricing tracker, supporting analysis on regional and property specific pricing, identifying cross department performance KPIs, and producing prototype reporting in Tableau and Salesforce. You'll also support wider market research, scenario analysis and documentation across the project set. Reporting into the Head of Commercial Strategy & Performance and working day to day with our senior finance and data teams, you'll be supported through weekly check ins, structured briefs and clear documentation expectations. This is an excellent first, fixed term role for a commercially curious graduate or penultimate year student who wants to see how commercial decisions are made in a fast moving business. Key responsibilities: Lead delivery of a defined set of commercial analytical projects, including competitor pricing tracking, regional/property specific pricing analysis, internal KPI discovery and reporting prototypes. Build and run a twice weekly competitor price check across bedrooms, regions and packages, and present findings in a usable format. Support scenario analysis comparing current, regional and more granular pricing approaches. Identify and propose cross department performance KPIs, and prototype reporting in Tableau and/or Salesforce. Carry out structured market research from public sources and present findings clearly. Document methodology, assumptions, exclusions and limitations for every piece of analysis. Label outputs clearly as exploratory, validated, recommendation or operational, and route them to the named senior reviewer before use. Attend weekly check ins to share progress, raise data issues and surface early findings. Save working files and methodology notes so analysis can be picked up later by the permanent team. Skills and experience: Recent graduate or penultimate/final year undergraduate in a quantitative discipline - Mathematics, Statistics, Data Science, Data Analytics, Economics (quantitative pathway), Physics, Engineering, Energy Studies, Environmental Science, Computer Science (analytics focus), Actuarial Science or similar. Confident with Excel or Sheets; exposure to SQL or Python is desirable but not essential. Comfortable testing relationships in structured data and presenting findings clearly. Strong attention to detail and a habit of documenting what you've done and why. Curious, organised and willing to ask questions when something doesn't look right. Interest in utilities, property, energy data or the student housing sector is desirable but not essential. About us: At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen What do you get when you work here? With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work (GPTW) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.

# Junior Commercial Data Analyst (Temp June-Sept 26) Data and Analytics Junior Commercial Data Analyst (Temp June-Sept 26)Sheffield City Centre (fully office-based) £25,878 - £30,000 pa pro rata DOE Fixed-term (early June 2026 - 25th September 2026) UniHomes is looking for a Junior Commercial Analyst to join the Commercial & Data team on a temporary basis and help us progress a backlog of analytical projects that will sharpen how we price, benchmark against competitors and report internal performance. This is a hands on, commercially flavoured analytical role with real visibility. You'll work on a defined set of self contained projects, with prepared datasets and source pointers supplied by the existing team and senior validation of every output before it is used. You won't need to navigate the full UniHomes data stack - the focus is on doing thoughtful, well structured commercial analysis and presenting it clearly. The projects you'll lead on are commercially oriented: building a repeatable competitor pricing tracker, supporting analysis on regional and property specific pricing, identifying cross department performance KPIs, and producing prototype reporting in Tableau and Salesforce. You'll also support wider market research, scenario analysis and documentation across the project set. Reporting into the Head of Commercial Strategy & Performance and working day to day with our senior finance and data teams, you'll be supported through weekly check ins, structured briefs and clear documentation expectations. This is an excellent first, fixed term role for a commercially curious graduate or penultimate year student who wants to see how commercial decisions are made in a fast moving business. Key responsibilities: Lead delivery of a defined set of commercial analytical projects, including competitor pricing tracking, regional/property specific pricing analysis, internal KPI discovery and reporting prototypes. Build and run a twice weekly competitor price check across bedrooms, regions and packages, and present findings in a usable format. Support scenario analysis comparing current, regional and more granular pricing approaches. Identify and propose cross department performance KPIs, and prototype reporting in Tableau and/or Salesforce. Carry out structured market research from public sources and present findings clearly. Document methodology, assumptions, exclusions and limitations for every piece of analysis. Label outputs clearly as exploratory, validated, recommendation or operational, and route them to the named senior reviewer before use. Attend weekly check ins to share progress, raise data issues and surface early findings. Save working files and methodology notes so analysis can be picked up later by the permanent team. Skills and experience: Recent graduate or penultimate/final year undergraduate in a quantitative discipline - Mathematics, Statistics, Data Science, Data Analytics, Economics (quantitative pathway), Physics, Engineering, Energy Studies, Environmental Science, Computer Science (analytics focus), Actuarial Science or similar. Confident with Excel or Sheets; exposure to SQL or Python is desirable but not essential. Comfortable testing relationships in structured data and presenting findings clearly. Strong attention to detail and a habit of documenting what you've done and why. Curious, organised and willing to ask questions when something doesn't look right. Interest in utilities, property, energy data or the student housing sector is desirable but not essential. About us: At UniHomes, we're on a mission to transform the entire student rental experience across the UK. As the market-leading student accommodation advertising platform and utility management service provider, we make finding and securing all-inclusive student accommodation simple, seamless, and stress-free. We're not just another platform. UniHomes is developing innovative technology to deliver one go-to destination that supports the entire student rental journey. With an unwavering focus on our students, partner letting agents, operators and suppliers, we continually evolve and enhance our products and services to exceed expectations, while tackling market complexity with ease and transparency. Since launching in 2015, we've experienced rapid growth. Today, we operate in 60+ cities, partner with 1,000+ agents and operators, and are backed by Macquarie Capital and LDC. Our success has been recognised with accolades from EY Entrepreneur of the Year, Deloitte UK Technology Fast 50, The Negotiator Awards, and Great Place to Work certification. Our 140+ strong team is based in the heart of Sheffield City Centre, where we're driving innovation, expanding into new markets, and fostering a culture built on collaboration, creativity, and growth. If you're ready to make a meaningful impact and help redefine how students find their perfect home, now is the time to join UniHomes. Be part of a team that's opening new doors to better experiences, brighter ideas, and stress-free living. We are a team driven and united by our core values: Lead the Way In it Together Customers Matter Keep it Simple Rise Above Challenges Make it Happen What do you get when you work here? With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are incredibly proud to have been officially certified as a Great Place to Work (GPTW) and an accredited Living Wage employer - all our employees earn a fair living wage above the government minimum wage.Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a commitment to personal and professional development, employee awards, refer a friend scheme, staff discounts, mental health and financial support, and company social events.At UniHomes we are committed to fostering an inclusive and diverse workplace where everyone can thrive and which values individuals for their unique perspectives. We welcome candidates from all backgrounds, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.Please let us know if you require any reasonable adjustments to make the recruitment process more accessible to you.Applicants for permanent roles must already have the permanent and unrestricted right to work in the UK. Unfortunately, we are unable to offer visa sponsorship as we do not hold a sponsor licence.We want to hear your unique voice in your application. We love AI, but relying on it solely to write your cover letter and answer the application questions is a missed opportunity to showcase the originality and personality that will make you stand out. Please show us the real you.We do not accept CV submissions from recruitment agencies. Direct applications from individual candidates are encouraged. Thank you for your understanding.

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Product Designer, Agentic Vulnerability Elimination Remote Location: London, UK Position Summary HackerOne is seeking a Senior Product Designer to join our growing team focused on Agentic Vulnerability Elimination. In this role, you will design intelligent, AI-powered experiences that help customers identify, prioritize, and remediate vulnerabilities more effectively across the software development lifecycle. You will lead the design of complex product experiences from discovery through delivery, partnering closely with product managers and engineers across our UK and Netherlands teams. This is an opportunity to shape how AI agents and human workflows come together to eliminate vulnerabilities at scale, while delivering intuitive, high-impact user experiences. At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within 75 kilometers of London. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together - fostering collaboration, connection, and in-person moments that enrich our culture - while still preserving the benefits of remote work. What You Will Do Design end-to-end product experiences for Agentic Vulnerability Elimination, from discovery through delivery, applying First Principles Problem Solving to break down complex security and AI-driven workflows into intuitive solutions Build and iterate on AI-powered user experiences, embedding an AI First mindset into design decisions and contributing to workflows that leverage LLMs and automation effectively Partner closely with product managers, engineers, and data partners across the UK and Netherlands to deliver high-quality, user-centered solutions that improve vulnerability remediation outcomes Use Data-Driven Decision Making to inform design choices, validate hypotheses through research and testing, and continuously improve product experiences based on measurable impact Demonstrate Change Agility by adapting designs in response to evolving product direction, emerging AI capabilities, and shifting customer needs while maintaining momentum Contribute to and evolve HackerOne's Design Language System, ensuring consistency and scalability across products Communicate design rationale, tradeoffs, and decisions clearly to stakeholders, balancing user needs, technical constraints, and business goals Mentor junior designers and contribute to a collaborative, feedback-driven design culture Minimum Qualifications 8+ years of UX and product design experience, preferably in B2B or enterprise software environments Demonstrated experience designing complex workflows and systems, with the ability to independently lead projects from concept to implementation Experience applying AI tools or designing AI-enhanced user experiences, with an understanding of responsible and effective usage Strong proficiency in user research, interaction design, prototyping, and usability testing, with the ability to translate insights into product improvements Preferred Qualifications Bachelor's degree in UX, HCI, design, or a related field Experience designing for cybersecurity, developer tools, or technical platforms (e.g., vulnerability management, DevSecOps, or similar domains) Familiarity with designing for AI agents, automation systems, or human-in-the-loop workflows Basic understanding of front-end development principles and constraints Compensation Bands: Tier Guide UK Tier: $100,000-$123,000 Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning Digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimise their assets, plan smarter investments, and improve environmental outcomes through cutting edge analytics. This role can be based from our Glasgow, Edinburgh or Belfast offices, with hybrid working allowing for a mix of in office, client based and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimisation techniques to help clients make smarter, data driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python (essential criteria) and be familiar with other coding and programming applications such as R, Ruby, FME or FME Flow (desirable criteria), with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Knowledge and experience of working in the water industry, specifically in the fields of wastewater modelling and urban drainage modelling would be advantageous. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. If you're ready to shape the future of digital transformation in the water sector and take your career to the next level, we'd love to hear from you! Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Team Anduril's Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra long range, full ocean depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra large" vehicle sizes. Today, Anduril is executing on billion dollar contracts while simultaneously performing Robot as a Service (RaaS) AUV operations. We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive XL, Dive LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system of systems, enabling the end to end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril's Maritime Division and help us build the future of defense capability. About the Job Senior Software Engineers independently drive the delivery of a variety of software integrated into our products. This includes autonomy, simulation, data processing, payload integration, and off board command and control and decision support. We expect Senior Software Engineers to demonstrate end to end outcome ownership at the major subsystem or system level. Senior Software Engineers contribute as a technical lead to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life cycle. What You'll Do Empathize with end users and drive solutions that balance their needs with external constraints, restrictions and requirements in a multi stakeholder environment Own software enabled solutions that are deployed to customers, optimizing for the delivery of value to the end user Design and implement scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time Contribute to the design and development of existing software services across Anduril, with the aim of developing components that are re usable across multiple Anduril product lines Develop software that runs on and off robotic platforms, using a variety of technologies Contribute to the design, implementation and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring and operation Create test and simulation fixtures that operate with both software and hardware in the loop Support vehicle manufacturing and deployment Work as a member of a multi disciplinary engineering team, including as a mentor for Software Engineers from differing backgrounds Travel to co locate with end users and/or other teams up to 20% of the time Required Qualifications Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience Extensive professional experience working as a Software Engineer with one or more domains and/or technologies of expertise Systems and/or application programming skills including algorithms, data structures, concurrency, scaling, testing, infrastructure, software design and system design Experience troubleshooting and analyzing remotely deployed software systems Capacity to work holistically on software enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment Capacity to act as the technical owner for a software service, including stakeholder engagement, requirements definition, roadmap management, team co ordination, design, implementation, sustainment and evolution Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity Eligible to obtain and maintain an active U.S. Secret security clearance Preferred Qualifications Experience in a senior role for the delivery of a military mission system Experience writing backend services or embedded software in C++ and/or Rust Experience with the design, implementation and operation of horizontally scaled cloud technologies Experience with the design, implementation and support of embedded software, particularly in the field of robotics Experience with modeling and simulation Experience with development of high assurance safety critical software Experience within the product delivery lifecycle including manufacturing, system acceptance, deployment, and sustainment. Familiarity with Systems Engineering concepts Desire to learn and grow into other roles that require experience as a Senior Software Engineer, such as Staff Software Engineer and/or Software Engineering Manager Desire to grow into a Tech Lead Manager role, with responsibility for line management of engineers, in addition to delivery Benefits The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers and are considered part of Anduril's total compensation package. Additionally, Anduril offers top tier benefits for full time employees, including: US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Location: London, England, United Kingdom Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Work Location: This role is based out of our London office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. What You'll Do Take ownership for the building and delivering advanced capabilities for Video Forensics, spanning media processing pipelines, forensic playback, investigation tooling, and video format R&D Design systems that span multiple applications and services, ensuring they scale, remain operable, and evolve gracefully over time Drive cross-team design reviews, ensuring consistent technical quality and alignment across independently operating teams Take contradictory, incomplete, or ambiguous requirements and turn them into coherent technical direction that the team can execute against Continuously raise the team's quality bar through design reviews, driving engineering best practices and leading by example on ways of working Mentor Junior and Senior engineers through technical and execution guidance, growing the team's depth and independence Communicate the team's technical direction to leadership and engage across the organization on architectural decisions and collaboration What You Bring Bachelor's Degree in Computer Science, Engineering, or related field, and 8+ years of professional software engineering experience Track record of mentoring engineers across multiple levels and raising the technical bar of a team or organization Strong Engineering and Architecture fundamentals across multiple languages, with breadth across the stack Excellent communicator who is able to articulate complex technical concepts to both technical and non-technical audiences, and to drive alignment across distributed teams Ability to take high level concepts and customer needs, and work with your team to translate these into tangible customer deliverables Desirable: Experience with video or media processing, codecs, streaming, or format analysis Desirable: Experience with Azure cloud services, and a range of modern languages including TypeScript/React, .NET, Python, Java or C/C++ Benefits That Benefit You Competitive base salary and RSUs Comprehensive pension plan with matching contribution Private health insurance & cash plans 30 days paid holiday + UK public holidays Enhanced maternity/paternity leave Life assurance & income protection Career growth support and wellness resources Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. This role is based out of our London Bridge and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Senior Data Management Professional - Data Engineer - Earnings Extraction Data Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes. Our Team The Earnings Extraction team is a powerhouse in real-time data extraction of earnings KPIs instrumental in shaping financial market decisions. We leverage data modeling, business intelligence and technical skills to build internal workflows and stay in the forefront of low-latency extraction. Our goal is to deliver highly accurate and fast market-moving data. The Role The Earnings Extraction team is looking for a Senior Data Management Professional who combines strong technical and problem-solving skills with a passion for data, automation, and innovation. We are seeking a proactive self-starter who can drive workflow transformation initiatives and help shape the future of our data extraction and processing capabilities. As part of the team, you will apply your analytical and technical expertise to improve automation, scalability, and operational efficiency across our data pipelines and human-in-the-loop workflows. This includes performing data analysis, designing prototype applications, and collaborating closely with Product and Engineering teams to develop innovative solutions. Experience or interest in emerging technologies such as agentic AI and intelligent automation frameworks is considered a strong plus. In addition to hands-on technical work, you will be expected to lead internal projects and contribute to strategic workflow improvements across the organization. Strong collaboration and stakeholder management skills are essential, as you will work closely with Engineering, Product, and cross-functional teams to deliver scalable and fit-for-purpose solutions. You will also play a key role in mentoring junior team members through project guidance, knowledge sharing, and code reviews. We'll trust you to: Drive workflow innovation and automation initiatives across the Earnings Extraction pipeline by combining technical expertise, operational insight, and data-driven decision making Design, build, and improve scalable data pipelines, automation processes, and human-in-the-loop workflows that support structured and unstructured data extraction Collaborate closely with Engineering and Product teams to prototype and deliver fit-for-purpose solutions that improve operational efficiency and data quality Analyze workflows and operational datasets to identify opportunities for optimization, scalability, observability, and intelligent automation Leverage programming, analytics, and emerging AI technologies - including agentic AI frameworks and LLM-based solutions - to enhance internal tooling and processes Lead internal projects end-to-end, including solution design, implementation, stakeholder communication, and delivery coordination Mentor junior team members through technical guidance, knowledge sharing, and code reviews while contributing to a strong collaborative team environment You'll need to have: A BA/BS degree or higher in Computer Science, Statistics, or relevant data technology field, or equivalent professional work experience 4+ years of Python programming and scripting in development or production environment Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.) Strong problem solving skills, particularly to modify and improve processes and workflows Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management Ability to work independently as well as in a distributed team environment Ability to influence others and lead change Experience in conducting technical training and mentoring others Please note: years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. We'd love to see: Financial Markets experience including an understanding of Company Financials, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing Agile/Scrum Project Management experience Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

About Us We are a leading gastrointestinal health company delivering minimally invasive diagnostics to transform access to esophageal care. Our EndoSign test combines a simple, swallowable device with cutting-edge laboratory biomarkers and analytics to detect esophageal cancer and its precursor, Barrett's esophagus. Operating across the US and UK life-science hub, with hybrid, remote and onsite teams, we are expanding our pipeline to address new high-impact targets across gastroenterology and related fields. You'll join a close-knit team of experts in our field who collaborate daily to translate breakthrough ideas into real-world solutions. At Cyted Health, every voice matters. Whether you're in R&D, Commercialisation, Medical Affairs or Operations, you'll have the chance to lead projects, influence strategy, and broaden your skill set across the company. We champion diverse backgrounds and perspectives, fostering an inclusive culture where everyone can thrive and innovate. If you're inspired by purpose, motivated by challenge, and eager to make a meaningful impact on patient lives, we'd love to hear from you. We usually recruit on a rolling basis with the following four stages: Initial Conversation - An online meeting with Maddie, a member of our People team, to learn a bit more about you and for you to explore what it is like to work with us. Line Manager Interview - An online meeting with the hiring manager(s) to specifically discuss the role further through theoretical and scenario based questions. Team Interview & Assessment - An onsite presentation or assessment with an opportunity to meet the wider team. Final Interview - An online meeting with our CEO to discuss your goals and the company's history and vision. Job Summary Clinicians, laboratory staff, pathologists, and most of all, patients are at the heart of what you will do. Making sure they deliver and receive critical healthcare information is central to your role. You will translate complex clinical workflows into clear, accessible and scalable front-end solutions. Not just so healthcare professionals can retrieve the information they need, but can do so using a platform and interface that is seamless, effortless and intuitive. Branching out of the software engineering team, you will also leverage opportunities to work with product and clinical stakeholders internally at Cyted, and externally. With curiosity and passion, you will own and elevate discovery through to delivery whilst engaging directly with users to ground solutions in real world challenges. We love inventive and innovative perspectives to bring fresh approaches that lead the way we build robust and reusable components to strengthen the front-end architecture. Boldly raising our engineering standards across the team and internationally into the US is exactly what we want. You will immerse yourself in challenging assumptions, driving practical solutions and reliably step up to shape how our team delivers high quality to clinicians, laboratory staff, pathologists and patients. Working Pattern and Location This role is a full-time position with a standard 37.5 hour working week. You will be based at Cyted's Head Office, Ground Floor, Building 3, Old Swiss, 149 Cherry Hinton Road, Cambridge, CB1 7BX, UK and be expected to be in the office 3 days per week. What you will be doing User Insight and Collaboration Constantly engage directly with pathologists, clinicians, and internal service teams to understand real world workflows and pain points. Demo work regularly, inviting challenge and feedback, and iterating based on insight. Front End Development Design and build intuitive, accessible UI for laboratory staff, pathologists and clinicians. Translate complex clinical workflows into simple, effective digital experiences. Partner with backend engineers and international stakeholders to deliver a seamless end to end product. Build robust, scalable and reusable front end components and patterns. Raise issues early, propose practical solutions and get excited by taking ownership through delivery. Product and Platform Delivery Inform, design and deliver diagnostics platform capabilities aligned to business priorities and customer value. Build reusable code and shared libraries that strengthen long term architecture. Successfully integrate third party services to extend platform capability. Drive forward new technologies and approaches that improve productivity and quality. Engineering Excellence Proactively diagnose and resolve challenges quickly and methodically. Define test plans, write automated tests and conduct manual testing when needed. Support security reviews, audits and penetration testing and implement recommendations. Ways of Working Mentor and support the team's engineers to raise standards and international impacts. Consistently share expertise and promote best practice within the team. Contribute to Agile delivery and continuous improvement. Collaborate to plan, prioritise and deliver work with clarity and discipline. Your first two weeks will be meeting and getting to know us, as well as the wider team members at Cyted. You will get some 1:1 time out at lunch with a buddy to form a friendly face and go-to for any questions. To immerse yourself in how we operate, you will do some compliance training related to our lab quality management system, and get right into our sprint meetings: stand ups, demos, retros and planning. While understanding our objectives, priorities and software stack, in your first month you will get stuck in contributing to our team outcomes by delivering and testing code. From chats and meetings with wider team members, you will start to form a solid understanding of what they really need from our software. By the end of your first six months you will have led end-to-end a major piece of work like a FHIR API to integrate with patient record systems, new features for pathologists to request and receive second opinions or support development of a computational pipeline that operationalised our R&D team's genetics test. You will also have helped with triaging and responding to support requests from colleagues around the business for a sprint and informed where our priorities are for the next quarter in a team day. Who you are? We're looking for a senior software engineer with the technical depth and practical experience to build high quality systems in a fast-moving, mission-driven environment. You'll bring strong engineering fundamentals, confidence working across modern tooling and the ability to take ownership of meaningful technical outcomes. To succeed in this role, you'll bring: A minimum of four years experience in a software engineering role Practical experience working with modern CI/CD tools Experience with AWS and Terraform Ability to build RESTful APIs in JVM languages such as Scala or Kotlin Approaches building web frontends using React and TypeScript Experience conducting or contributing to user research Excellent problem-solving ability, analytical thinking and strong troubleshooting skills Ability to mentor junior team members (no line management required) How we work At Cyted, how we work is just as important as the impact we create. Following our recent Series B fund raise and with increasing national attention, we're entering a defining stage of growth - and our values guide how we scale. As a senior software engineer, you'll bring those values to life in the way you design, build and ship technology that matters. We care deeply about the patients we serve and the clinicians who rely on our diagnostics. For you, care means building systems that are reliable, intuitive and resilient. It means understanding the pressures on our users and designing technology that reduces friction rather than adding to it. You'll bring empathy and clarity into your engineering decisions, always anchoring your work in the reality of clinical environments. We expect you to own your work with confidence and credibility. You'll take responsibility for the systems you build, the decisions you make and the outcomes they drive. You'll move with purpose, lead technically when needed and set high standards for the team around you. We aim high. We're scaling fast and building in a complex, regulated space, but we're not here to follow. You'll help define what great engineering looks like in a new category of diagnostics. You'll set ambitious technical goals, shape our architecture and deliver systems that clinicians can trust at scale. You'll be expected to dive deep. You'll understand the science, the data flows, the workflow logic and the constraints of real-world clinical settings. You'll learn the detail behind our technology, anticipate edge cases and solve problems rather than passing them along. You'll be as comfortable getting into the specifics of a diagnostic workflow as debugging a distributed system. We encourage everyone to challenge and commit. You'll play a part in shaping how our engineering team works, what we prioritise and how we grow. You'll question assumptions, propose better approaches and be open to critique. And once we choose a direction, you'll go all-in and drive it forward with clarity and conviction. And above all, we deliver. This role demands momentum, ownership and results. You'll write the code, shape the architecture, resolve the bottlenecks and push the platform forward. Every service you ship, integration you refine and problem you resolve brings us closer to earlier, better care for patients . click apply for full job details

Senior Data Management Professional - Data Engineer - Earnings Extraction Data Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes. Our Team The Earnings Extraction team is a powerhouse in real-time data extraction of earnings KPIs instrumental in shaping financial market decisions. We leverage data modeling, business intelligence and technical skills to build internal workflows and stay in the forefront of low-latency extraction. Our goal is to deliver highly accurate and fast market-moving data. The Role The Earnings Extraction team is looking for a Senior Data Management Professional who combines strong technical and problem-solving skills with a passion for data, automation, and innovation. We are seeking a proactive self-starter who can drive workflow transformation initiatives and help shape the future of our data extraction and processing capabilities. As part of the team, you will apply your analytical and technical expertise to improve automation, scalability, and operational efficiency across our data pipelines and human-in-the-loop workflows. This includes performing data analysis, designing prototype applications, and collaborating closely with Product and Engineering teams to develop innovative solutions. Experience or interest in emerging technologies such as agentic AI and intelligent automation frameworks is considered a strong plus. In addition to hands-on technical work, you will be expected to lead internal projects and contribute to strategic workflow improvements across the organization. Strong collaboration and stakeholder management skills are essential, as you will work closely with Engineering, Product, and cross-functional teams to deliver scalable and fit-for-purpose solutions. You will also play a key role in mentoring junior team members through project guidance, knowledge sharing, and code reviews. We'll trust you to: Drive workflow innovation and automation initiatives across the Earnings Extraction pipeline by combining technical expertise, operational insight, and data-driven decision making Design, build, and improve scalable data pipelines, automation processes, and human-in-the-loop workflows that support structured and unstructured data extraction Collaborate closely with Engineering and Product teams to prototype and deliver fit-for-purpose solutions that improve operational efficiency and data quality Analyze workflows and operational datasets to identify opportunities for optimization, scalability, observability, and intelligent automation Leverage programming, analytics, and emerging AI technologies - including agentic AI frameworks and LLM-based solutions - to enhance internal tooling and processes Lead internal projects end-to-end, including solution design, implementation, stakeholder communication, and delivery coordination Mentor junior team members through technical guidance, knowledge sharing, and code reviews while contributing to a strong collaborative team environment You'll need to have: A BA/BS degree or higher in Computer Science, Statistics, or relevant data technology field, or equivalent professional work experience 4+ years of Python programming and scripting in development or production environment Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.) Strong problem solving skills, particularly to modify and improve processes and workflows Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management Ability to work independently as well as in a distributed team environment Ability to influence others and lead change Experience in conducting technical training and mentoring others Please note: years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. We'd love to see: Financial Markets experience including an understanding of Company Financials, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing Agile/Scrum Project Management experience Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning Digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimise their assets, plan smarter investments, and improve environmental outcomes through cutting edge analytics. This role can be based from our Glasgow, Edinburgh or Belfast offices, with hybrid working allowing for a mix of in office, client based and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimisation techniques to help clients make smarter, data driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python (essential criteria) and be familiar with other coding and programming applications such as R, Ruby, FME or FME Flow (desirable criteria), with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Knowledge and experience of working in the water industry, specifically in the fields of wastewater modelling and urban drainage modelling would be advantageous. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. If you're ready to shape the future of digital transformation in the water sector and take your career to the next level, we'd love to hear from you! Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment.