1203 jobs found

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. We're hands on with emerging technologies - exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform - enabling AI agents that reason, retrieve, and act across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) - but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Software engineers with a passion for AI - or data scientists who've embraced engineering. People who experiment, prototype, and explore emerging AI tools in their own time. Strong foundation in a language suited to AI system development and data workflows. Experience integrating models with APIs, data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud native (AWS / GCP / Azure) and DevOps / DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Benefits Life At PA encompasses our people's experience at PA. It's about how we enrich people's working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

A leading beauty brand in Greater London is seeking a Data Scientist to join their dynamic Data Science team. The role focuses on leveraging data, machine learning, and AI to enhance decision-making and customer experiences. Candidates should possess a relevant degree and 3-5 years of data science experience, proficient in Python, SQL, and data science libraries. The position offers a hybrid work model with numerous benefits including 25 days of holiday, inclusive parental leave, and wellness benefits, creating a supportive and innovative work environment.

A leading consulting firm in Greater London seeks software engineers or data scientists with a passion for AI to join their team. This hybrid role involves collaborating with cross-disciplinary teams to create innovative solutions and experiment with emerging technologies. Candidates should have a solid understanding of API integration, cloud-native practices, and a collaborative mindset. The firm offers a supportive culture with opportunities for growth and professional development.

About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.

Senior Data Scientist St Neots (PE19) Salary £45,000 - £65,000 DOE 25 days annual leave inclusive of up to 3 days Christmas shut-down Buy or sell up to 5 days annual leave Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Continuous Professional development support As our Data Intelligence capability continues to grow, we're looking for a Senior Data Scientist to join the team and support the delivery of innovative data solutions across a range of exciting customer projects. This is a newly created position, driven by increased project demand and continued growth within our Digital Services Group. You'll play a key role in delivering advanced data science capabilities, helping customers unlock value from complex datasets through analysis, visualisation, modelling, prediction and AI-driven solutions. Combining hands-on technical delivery with leadership responsibilities, you'll help shape innovative solutions, mentor colleagues and influence the future direction of our data science capability. Based at our head office in Little Paxton, St Neots, you'll work alongside a highly skilled team of Data Scientists, Software Engineers and Technical Specialists, delivering innovative solutions for highly secure customers. This is a full-time on-site role, giving you the opportunity to collaborate closely with colleagues, share knowledge and contribute directly to project delivery within a highly skilled team environment. How you'll support us As a Senior Data Scientist, you'll provide technical leadership across a variety of projects, taking ownership of delivery while helping to guide and develop less experienced team members. You'll work closely with project leads and customers to understand complex challenges, develop innovative solutions and ensure high-quality outcomes. You'll also play an important role in shaping the future of our Data Science capability, identifying opportunities to apply emerging technologies and supporting business growth through technical input into bids and proposals. Core Responsibilities Lead the delivery of data science activities in support of a dedicated Test & Evaluation programme. Define, scope and review tasking for Data Science team members. Develop analytical, predictive and visualisation solutions using modern data science techniques. Prototype and evaluate emerging AI and machine learning technologies. Develop robust, high-quality software applications and tools. Provide technical guidance and mentoring to colleagues. Report progress and technical outputs to project stakeholders. Support business development activities and technical bid responses. Ensure data science processes and best practices are followed. The invaluable experience you'll bring, to help us achieve more We're expecting that you've done this role before, so you'll know how to balance technical delivery with leadership responsibilities whilst managing multiple priorities. You'll bring strong analytical thinking, a passion for solving complex problems and the ability to communicate technical concepts to a variety of audiences. Core skills and experience we're looking for: Writing scripts to provide insights into complex system performance within high-volume synthetic environments (Python or MATLAB). Experience with data transformation and visualisation frameworks. Generating GUIs to display key data insights. Development of product quality software applications. BSc or Masters degree in a data related subject. It would be great if you also have: A strong background in statistics and data assimilation techniques. Prototyping AI/ML techniques (e.g. LLMs and neuromorphic systems). Knowledge of Electromagnetic Spectrum systems such as Radar, Electronic Warfare or Jamming technologies. An interest in GPU-accelerated architectures and high-performance computing. Experience using DevOps and software development tools such as Jira and BitBucket. Our non-negotiables: Due to the highly secure nature of the projects you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC level security clearance Who is MASS? MASS is an independent, global technology company, trusted by highly secure organisations to provide advanced, digital services that manage data and keep information safe. With our heritage in defence, we offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so you're ready for digital transformation. Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme. MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact. Apply today to see how working for MASS could work for you! JBRP1_UKTJ

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is free commerce from friction. Today, high delivery costs act as a hidden tax on e commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation OVERVIEW Relay's Pitstop network is the convenience store backbone of the operation. Customers drop off and collect parcels at these locations, Middle Mile drivers hand off and pick up, and the whole network depends on independent retailers behaving in ways that make Relay work. They aren't Relay staff. We don't control their attention, their turnover, or what else is happening behind their counter. Every behaviour we need has to be produced through systems, incentives, and the app. The Pitstop squad's job is to build those systems. Today the network runs at around 170k parcels a day, propped up by a small operations team and twelve LiveOps FTE absorbing the day to day breakage. The squad's mission is to take the network from 170k to 2M parcels a day without LiveOps scaling linearly with it. That means systematising launch readiness, pitstop performance, pricing structure, and retention so the same number of operators can support a network twelve times the size. As a Data Analyst in the Pitstop squad, you will own the analytics that make all of this measurable. Are launches hitting day 1 quality? Is handover speed improving where new in app behaviour nudges have rolled out? Which pitstops are heading for churn and why? What's actually driving LiveOps ticket load, and which interventions are removing it? You'll build the monitoring layer the squad relies on, run the cost and performance investigations that shape what gets built next, and become the squad's source of truth on what's working. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Pitstop squad, working day to day with operations, sales, engineering, design, and research. You will report into the centralised data team and be line managed by the Lead Data Analyst for Middle Mile, Pitstops & Sortation. WHAT YOU'LL DO Own the Pitstop squad's five outcome metrics: Launch Velocity, Handover Speed, Handover Accuracy, Pitstop Retention, and Indirect Cost per Parcel. Build the monitoring around them, investigate movement, and translate the numbers into next actions for the squad. Run the analytics behind pitstop performance and pricing: which behaviours move handover speed, how commercial tiers and clawbacks are landing, which pitstops are systematically under or over performing, and what the in app nudges are actually changing on the counter. Quantify the impact of squad initiatives in cost terms: how much LiveOps load did this self serve flow remove, how much Middle Mile driver time did this handover prompt unlock, and what is the CPP impact of retention work on mature pitstops. Build launch readiness analytics: cohort ramp curves, time to maturity, where new pitstops break in week one, and how the launch playbook should evolve as volume grows. Build the retention layer: a health score for pitstops, at risk alerting, churn diagnosis triaged by cause, and the feedback loop back into acquisition and onboarding. Investigate LiveOps ticket load by category and reason. Quantify what each ticket type costs, where the volume is concentrated, and which pillars should systematise it next. Define KPIs and build dashboards that make Pitstop performance transparent to the squad, to operations, and to leadership. Maintain and extend the squad's dbt models and data pipelines that underpin the monitoring layer. WHO WILL THRIVE IN THIS ROLE? You want to understand how an operation actually works, not analyse it from a distance. Pitstops are messy, varied, and behaviour driven. The best work comes from people who can sit with operators, watch handovers happen, and translate what they see into measurable signals. You're excited by cost and behaviour problems. Where is LiveOps spending time, what's driving handover friction, and where are systems failing in ways the data can show but the squad cannot yet feel. You can navigate messy operational data and turn it into metrics people trust. You're comfortable working alongside operations, design, engineering, and commercial stakeholders, and you can embed your analysis into their workflows. You're fluent in SQL and experienced with BI tools, with strong problem solving instincts. You have at least 3 years experience, ideally with exposure to logistics, parcels, retail operations, or another network scale operational business. You care about impact, not just insight. Success in this role is measured by whether the Pitstop network can scale without LiveOps scaling with it. You communicate clearly with non technical stakeholders and can explain what the data shows, where the limits are, and what to do next. WHO THRIVES AT RELAY? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Role Description - What you will work on Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Responsibilities Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Skills and Experience Deliver high-quality, well-tested, and maintainable code, setting a strong example for engineering best practices. Own significant parts of the data platform end-to-end, from ingestion to production delivery. Make architectural contributions to data processing, storage, and delivery patterns. Contribute to and improve CI/CD pipelines, automation, and operational tooling. Instrument services and pipelines with metrics, logs, and alerts, and help define operational standards. Play an active role in incident response, root-cause analysis, and long-term system improvements. Review code, mentor other engineers, and help reinforce shared coding and architectural standards across the team. Nice to have Exposure to Kafka, Spark, or streaming architectures. Experience with Kubernetes. Familiarity with event-driven or microservices architectures. Exposure to analytical datastores (e.g. Elasticsearch). Full-stack awareness (e.g. ability to read, review, and provide feedback on frontend or API-layer pull requests, without being a primary frontend contributor). Prior experience working on data products in energy, commodities, or industrial domains. Kpler is committed to providing a fair, inclusive and diverse work-environment. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Join us as a Generative AI Research Scientist You'll drive innovation in how the bank applies generative AI (GenAI), identifying high-value opportunities, proving what works, and shaping next-generation products and customer experiences Act as the bank's technical authority on GenAI, guiding internal adoption while representing our capabilities externally across the wider AI community You'll have the opportunity to work at the cutting edge of generative AI, exploring emerging techniques and turning research into real world solutions that deliver impact at scale What you'll do As our Generative AI Research Scientist, you'll bring strong research rigour to everything you do, from problem framing and model selection to building defensible, evidence-based outcomes. You'll explore and evaluate emerging techniques, including new model families, retrieval augmented generation, agentic patterns and multimodal approaches, and run experiments to determine what works best for the business. You'll lead the strategy for customisation, deciding on what to fine-tune, which data to use, and how success is measured. You'll also translate complex business challenges into clear machine learning problems and identify which GenAI approaches are worth pursuing and why. You'll stay at the forefront of scientific advancements, applying the latest research to uncover new opportunities and drive innovation across the bank. You'll also be: Taking ownership of evaluation, designing robust benchmarks, test sets and statistical analyses to assess accuracy, safety, bias and model robustness Prototyping innovative GenAI solutions, working with product and business teams to test ideas and validate them using real users and data Defining quality and safety standards, setting the bar solutions must meet before scaling across the organisation Advising on model risk, interpretability, and regulatory considerations so proposed approaches are robust, transparent, and fit for purpose Publishing research and contributing to intellectual property, including papers, patents or recognised contributions to the applied GenAI community Collaborating with interdisciplinary team, including research and software engineers and cross functional partners, to develop solutions that support the productionisation of research outcomes The skills you'll need To thrive in this role, you'll bring a strong foundation in machine learning, statistics and experimental design, combined with hands on experience in fine tuning, prompt engineering and rigorous model evaluation. You'll have a deep understanding of GenAI architectures and their trade offs, along with the ability to design experiments, interpret results and defend conclusions using robust, evidence based approaches. You'll have strong judgement in identifying high impact opportunities, paired with the ability to assess which problems are tractable and which approaches will deliver meaningful outcomes. You'll also bring: An understanding of model risk, data governance and financial services regulation The ability to communicate complex ideas clearly, engaging both technical and non technical stakeholders, including risk and compliance teams Sound decision making in selecting appropriate methods and techniques, applying the right tools to solve problems effectively and efficiently A track record of taking GenAI concepts from idea to validated proposition, demonstrating the ability to translate research into practical, real world impact

Grow with Treefera We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You'll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you'll have space to contribute meaningfully and make an impact from day one. If you're excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we'd love to hear from you. Treefera is hiring a Frontend Product Engineer with full stack capability to strengthen delivery capacity in Environmental Intelligence at a point where the team needs greater resilience, broader end-to-end ownership, and faster iteration across product, platform and customer-facing outcomes. This role exists to turn ambiguous ideas into shipped software across UI, API and pipeline work, while helping the team improve how it builds, documents and scales what works. Your work will help Treefera ship impactful product improvements faster and turn promising ideas into usable outcomes. Responsibilities, but not limited to: Build and maintain software across user interfaces, APIs and supporting pipelines delivering usable product outcomes end to end. Turn emerging ideas into MVPs and proof-of-concepts quickly enabling faster customer feedback and iteration toward product-market fit. Own implementation and architectural decisions within your scope helping the team move with speed under ambiguity. Support work beyond release through maintenance, documentation and operational follow-through improving reliability and adoption. Contribute to how engineering works across the wider team through code review, tooling and practical improvements raising quality and effectiveness over time. Demo and enable work so that product progress translates into commercial and customer impact helping strong technical work land successfully. Who you are: Must-have requirements: You are a strong engineer in Typescript, React, and NestJS (or similar) with the judgement to move confidently across application, API and data-oriented work. You can operate effectively in ambiguity, making sensible default decisions and progressing work without waiting for perfect structure. You communicate your thinking clearly, document approaches well, and collaborate constructively through feedback and code review. You are comfortable in a fast-moving startup environment where priorities can shift quickly and delivery pace matters. You are confident to use AI development tools without blindly trusting and can clearly explain your choices, trade-offs and outputs. Desirable requirements: Experience in backend development (python/api/data) Experience in working with geospatial data What success looks like: A strong candidate is deeply fluent in TypeScript and React, capable of building polished, performant UIs while also holding their own across API and pipeline work when needed. They have an eye for product quality, move fast without leaving a mess behind, and are comfortable making frontend architectural decisions without waiting for direction. They communicate clearly, review code constructively, and have a track record of shipping things that customers actually use. Who you'll work with: You'll report to the Senior Fullstack Engineer and work closely day to day with members across the app and platform engineering teams. What you'll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we're here to support you. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our Privacy Notice. Treefera is an equal opportunity employer. We believe the diversity of our people is as vital as the diversity of the ecosystems we work to protect, and we are committed to building an inclusive workplace where everyone can thrive. We welcome applicants of all backgrounds irrespective of race, colour, ethnicity, national origin, religion, gender identity or expression, sexual orientation, age, disability, pregnancy, or any other characteristic protected by applicable law. Reasonable accommodations are available upon request.

About us The Sainsbury Wellcome Centre (SWC) brings together world-leading scientists to investigate how brain circuits process information to generate perception, form memories and guide behaviour. Developed through the vision and partnership of the Gatsby Charitable Foundation and Wellcome, and with substantial investment from these partners, the mission of the SWC is to generate experimentally testable theories of brain function. The Centre comprises 13 highly interdisciplinary experimental research groups accommodated in a new, purpose-designed building, offering an outstanding and unparalleled research environment. SWC scientists use a broad spectrum of the latest advances in molecular and cellular biology, imaging, electrophysiology and behavioural techniques and enjoy state-of-the-art research laboratories, cutting-edge scientific equipment, technologically-advanced prototyping and fabrication laboratories and custom in-house high-performance computing facilities. About the role We are inviting applications for a research software engineer to be based in the Neuroinformatics Unit, working with the laboratories of Tom Mrsic-Flogel, Sonja Hofer and Tim Behrens in collaboration with theAdvanced Microscopy Facility. Our research seeks to understand how the frontal regions of the brain build circuits for cognition (e.g. planning, reasoning, abstraction). The challenge is to identify the precise neural microcircuits that underpin cognitive computations. To achieve this, we image the activity of neurons in a variety of task using benchtop and miniaturise two-photon microscopes, and then perform targeted holographic stimulation of identified neurons to probe their connectivity. This requires a complex pipeline of imaging, signal processing and alignment of multi-modal data sources. You will be responsible for developing and optimising efficient algorithms to process functional brain imaging data including motion correction, segmentation and multimodal registration. These algorithms will then be integrated within existing software packages for data acquisition, analysis and visualisation. This post is funded until September 2028 in the first instance with the possibility of extension subject to grant funding. Informal enquiries regarding the role can be addressed to Adam Tyson (). A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel. About you You will have strong programming skills in Python along with extensive experience working with numerical data such as images and timeseries. The ideal candidate will have experience in either image registration or working with multiphoton calcium imaging. You should have a strong interest in building easy to use software to help advance neuroscience and be comfortable working in teams of researchers and software engineers. The ideal candidate will have experience of good software engineering best practices and working on, and with open-source software. What we offer The post is based in London, suitable for hybrid working with a minimum of 40% of time onsite. As well as the exciting opportunities this role presents SWC offers staff an award winning work environment with state of the art facilities an on site brassiere and access to pleasant outdoor spaces. SWC staff receive the full range of UCL benefits. Our commitment to Equality, Diversity and Inclusio As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here.

A leading global investment firm is seeking a Data Scientist/Machine Learning Scientist to design and implement advanced machine learning models. You will drive data-driven strategies, build robust analytical tools, and collaborate with various teams to provide actionable insights. An ideal candidate should have a Master's or Ph.D. in a quantitative field, proficiency in Python, and 2+ years of relevant experience. Competitive compensation and opportunities for professional growth are offered.

Company description: Water Utility Company based in Yorkshire region of England. Job description: Senior Data Scientist Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water: We offer a competitive salary, depending on experience (up to £73,000) A company car lease/allowance scheme (£500 per month/£6,000 per year, based on full-time employment on joining the company). You can opt to sign up to the EV Car Salary Sacrifice Scheme 6 months after joining the company. Annual incentive related bonus (up to 10% of annual salary, increasing to 15% in the 26 to 27 performance year). Private health care (self only) Attractive pension scheme (up to 12% company contribution) Life assurance cover of 4 times pensionable salary 25 days annual leave plus bank holidays plus 2 extra wellness days! A great benefits package choose from health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover. Retail savings scheme Online GP service, cycle to work scheme, gym membership discounts and many more! Location: Buttershaw/ Hybrid Working (1-2 days in the office a week Bradford) This role will initially be based in Bradford but were moving our office to Leeds Valley Park in summer 2026, so youll be based there in the future. Work type: Permanent. 37 hours per week, Monday Friday. We have an exciting opportunity for a Senior Data Scientist to join the IT team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could this be you? What we do: Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year, can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, its so much more than this. We look after communities, protect the environment, and plan to look after Yorkshires water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the regions health, wellbeing, and prosperity. New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry. The IT function is a key part of how we plan to meet the changing expectations of customers and regulators. Were looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks, and aligning with our enterprise-wide transformation strategy. In this pivotal role, youll act as a subject matter expert across the business, guiding senior stakeholders and leading by example in evidence-based decision-making. Youll design and optimise decision models, foster a culture of technical excellence, and ensure continuous improvement through governance, coaching, and best practice. This is a unique opportunity to shape how data drives performance, sustainability, and innovation across Yorkshire Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping to steer the strategic direction of Data at YW Prioritise and deliver data solutions aligned to business needs using teams' ways-of-working Translate complex data into actionable insights that drive performance and transformation Lead technical excellence through governance, assurance and coaching across the team Actively supporting the professional development of data scientists Support the business and data science leadership by triaging and undertaking reactive tasks to reduce ODI pressure Communicate complex outputs clearly to non-technical stakeholders using visualisation tools and storytelling Develop and maintain advanced modelling skills in Python, R, SQL, and cloud platforms Align solutions with data strategy and wider transformation programmes Horizon scan and embed emerging technologies like AI, Digital Twins, and Open Data Represent Yorkshire Water in cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud platforms (e.g. Azure, AWS) Knowledge of data engineering, manipulation, and pipeline development Familiarity with technical assurance, QA, and model performance evaluation Strong communication and stakeholder engagement skills, including with senior leadership High standards of integrity and ethics Microsoft Azure certifications or equivalent Experience in water, wastewater, utilities, or manufacturing sectors Understanding of asset management principles Experience with Agile delivery methodologies Although we operate 24 hours a day, 365 days a year, its important to us that we support flexible working patterns and job share options (when we can), to help you make the best of both your work and home life. We know that juggling childcare responsibilities or getting that ideal work/life balance isnt always easy! Do we sound like your cup of tea? If youve got experience in Data Science and want to help us deliver great service for our customers whilst looking after the environment, then be sure to apply today to find out what a career with Yorkshire Water can offer you. If successful for the role, you will be required to undergo pre-employment checks that will include a Basic Disclosure Check, carried out through a Third-Party Company, prior to commencing employment. Depending on the role, you may also be required to go through the security vetting process for either a Counter Terrorist Check or Security Check clearance. All our roles are subject to a medical questionnaire, and further medicals when required. We are committed to removing barriers and ensuring our recruitment process is accessible to everyone. We offer a range of adjustments to make your application experience as comfortable and straightforward as possible. If you have an accessibility need, disability, or condition that requires changes to the recruitment process, please include this information in your application. We will then discuss any reasonable adjustments required. The closing date for this role is the 17th June 2026. Kelda Group reserve the right to close this position before the published closing date, should the need occur. We therefore advise that you complete and submit your application as soon as possible. No agencies please. ? JBRP1_UKTJ