22 jobs found

Senior IT Systems Analyst (Full-Time, Office-Based with Ad-Hoc Global Travel) Malmesbury, Wiltshire Monday-Friday, 08:30-17:00 (Flexi-time available) Ad-hoc global travel required About Corston At Corston Architectural Detail, everything we do is about taking the stress out of renovations. Our collections of switches and sockets, hardware and lighting are engineered to coordinate effortlessly. We obsess over the feel, finish, and precision of every detail - and we take equal care to ensure our customers' journey with us is seamless. Founded by a small team of designers and engineers, we've grown rapidly and have ambitious plans to expand across Europe. As we scale, our systems are critical to delivering a best-in-class experience - and that's where you come in. The Role We are looking for a technically strong, detail-driven IT Systems Analyst to own and optimise our core enterprise ecosystem, including: NetSuite Shopify HubSpot This is a hands on role focused on systems integration, automation, data governance, and performance optimisation across finance, operations, and eCommerce. You will act as a key bridge between technical systems and business operations - ensuring robust integrations, clean data flows, and scalable architecture to support our continued growth. Key Responsibilities Systems Integration & Automation Design, manage, and optimise integrations between NetSuite, Shopify, HubSpot and other platforms using Celigo, Azure Logic Apps and APIs. Monitor and troubleshoot Celigo integrator.io flows; identify root causes and implement permanent fixes. Maintain and improve HubSpot NetSuite synchronisation for accurate, real time data. eCommerce & Product Data Governance Own Shopify + NetSuite integration architecture (ideally via Celigo). Enforce standards for product data, attributes, collections and categorisation. Design and maintain data schemas, product matrices, naming conventions and governance frameworks. Ensure integrity across product, pricing, metafields, and customer data. NetSuite Administration Administer and configure NetSuite (custom fields, workflows, roles, saved searches). Support process improvements within Finance and Operations. Contribute to lifecycle management, upgrades and 3rd line support. Document system architecture, integrations and workflows. Ensure compliance with regulatory and contractual requirements. Maintain high standards of data quality and process control. Partner with cross functional stakeholders to gather requirements and design scalable solutions. Support and mentor the Core Systems team. Oversee vendor activities and contribute to project delivery across the application lifecycle. Technical Requirements Essential 2-4+ years' hands on NetSuite administration/support experience. Strong Shopify Admin experience (products, collections, pricing, metafields, order flows). Experience with Celigo integrator.io (or similar iPaaS: Boomi, MuleSoft). Understanding of REST/SOAP APIs, JSON/XML payloads and webhooks. Knowledge of Shopify APIs and automation. Strong analytical and troubleshooting skills. Highly Desirable SuiteScript (NetSuite scripting). Shopify Liquid and theme customisation. Power BI or similar reporting tools. EDI/WMS integrations. HubSpot custom objects and advanced workflows. Experience within eCommerce or fulfilment operations. Fortinet Security Fabric knowledge. DNS troubleshooting across hybrid networks. About You Detail-oriented and quality-driven. Strong communicator - able to translate technical complexity into business clarity. Comfortable managing multiple projects independently. Bachelor's degree in Information Systems, Computer Science, Engineering or equivalent experience. Commercially aware and comfortable operating in a scaling business environment. Eligible to work full time in the UK. What You Can Expect From Us Full training on our brand, products and systems. A genuinely interesting and challenging role in a fast growing business. Fast decision making and autonomy. Friends & family discount on Corston products.

Chubb is seeking an Analytics Pricing Product Owner to support the EMEA Analytics team and act as the bridge between actuarial pricing teams and the data and technology squads that build pricing tools, analytical platforms, and monitoring datasets. This role owns the product backlog for pricing analytics capabilities, defines requirements grounded in P&C insurance domain knowledge, and drives delivery through agile ways of working. The role is expected to be analytically capable and will contribute directly to pricing analyses alongside product ownership responsibilities. The individual will work with actuarial systems, rating factor data, and portfolio monitoring tools to support pricing and profitability decisions across the business. Key Responsibilities Product Ownership Define, maintain, and prioritise the product backlog for pricing analytics capabilities, ensuring alignment with business strategy, OKRs, and KPIs. Articulate a clear product vision and roadmap for pricing tools and analytical datasets in consultation with actuarial, underwriting, and data stakeholders. Translate business pricing requirements into well-defined user stories with clear acceptance criteria and measurable outcomes. Act as the primary liaison between actuarial pricing teams and delivery squads, gathering and clarifying requirements and maintaining ongoing stakeholder alignment. Participate actively in Agile ceremonies including Sprint Planning, Daily Standups, Backlog Refinement, Quarterly Release Planning (QRP), and Quarterly Business Reviews (QBR). Collect and analyse delivery metrics, adoption data, and stakeholder feedback to drive continuous improvement of pricing products. Make time bound, accountable decisions on product priorities and trade offs; communicate progress, risks, and challenges proactively to stakeholders. Identify and upscale obstacles that may hinder development progress to optimise squad workflow and productivity. Conduct pricing analyses using P&C actuarial data, including rate level monitoring, loss ratio analysis, exposure trending, and profitability reviews. Support the development and validation of rating factor studies, technical pricing models, and portfolio monitoring outputs. Work with data from actuarial and pricing systems to produce actionable insights for pricing actuaries, underwriters, and senior management. Contribute to the design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical and non technical audiences. Qualifications Required Qualifications Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative discipline. 2-4 years of experience in P&C insurance pricing, actuarial analysis, or a closely related analytical role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools - SQL, Python, R, or advanced Excel/VBA - for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance data structures (policy, claims, and rating factor data). Ability to translate complex analytical problems into clear business requirements and structured product backlog items. Strong written and verbal communication skills; able to work effectively across actuarial, underwriting, data engineering, and technology teams. Comfortable working independently in ambiguous environments with minimal day to day guidance. Preferred Qualifications Progress toward actuarial credentials (CAS or IFoA examinations). Experience with Agile delivery methodologies (Scrum, Kanban) and tools such as Jira. Familiarity with pricing platforms, rating engines, or commercial actuarial software (e.g., Guidewire, Radar, ResQ, Emblem). Experience with cloud data platforms or enterprise data warehouses (e.g., Snowflake, Azure, AWS). Experience with data visualisation tools (e.g., Power BI, Tableau). Prior experience in a product owner, business analyst, or product management capacity is advantageous but not required. Benefits Competitive salary & pension scheme Discretionary bonus scheme 25 days annual leave plus ability to purchase 5 additional days Hybrid working options Private Medical cover Employee Share Purchase Plan Life Assurance Subsidised gym membership Comprehensive Learning & development offerings Employee Assistance program Diversity & Inclusion Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.

We are currently looking for a Data Lead to join our client's fast-paced and collaborative tech team. Reporting directly into the CTO, this role is central to ensuring their data is accurate, secure, and used to its full potential. As the Data Lead, you will shape and evolve their data infrastructure, generate actionable insights, and partner across the business to drive smarter decisions. This role is integral to the success of the company, turning data into trusted insights that empower confident decisions and create real impact. The Opportunity As Data Lead, you'll be at the heart of the mission to deliver a single source of truth for the business. You'll work with stakeholders across multiple functions, identifying opportunities where data can deliver competitive advantage, and leveraging the latest technologies to keep at the forefront of innovation. Key responsibilities Safeguard and optimise data quality, accuracy, and availability across the business. Develop and maintain data infrastructure to ensure scalability and efficiency. Translate complex data into meaningful insights for stakeholders. Partner with business leaders to deliver data-driven recommendations. Lead and coach a talented team of engineers, analysts, and BI specialists, fostering a culture of curiosity and growth. Champion emerging technologies to continually improve performance and efficiency. What's in it for you? Competitive salary Flexible hybrid working Private pension scheme Ongoing training and career development opportunities Opportunity to lead and shape a high-performing team Exposure to emerging technologies and real-time data projects Skills and Experience Proven leadership in data-focused teams (data engineering, BI, analytics). Strong experience in data strategy, governance, and quality initiatives. Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design. Experience with cloud platforms (Azure DevOps preferred). Excellent communication skills with ability to bridge technical and business teams. Strong knowledge of data security, privacy, and compliance. Nice to have: Degree in Computer Science or related field. Background in Agile project management. Experience applying AI to data platforms (e.g., document intelligence, behavioural modelling). If you would like to be considered for the Data Lead role and feel you would be an ideal fit, please send your CV by clicking the Apply button below.

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the cause of death worldwide, using cutting-edge technology. The flagship product-an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCTAnalysis-provides a color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap Analysis), assess coronary blood flow (FFRCTAnalysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis).Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare. Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide. Job Title: Technical Solutions Analyst - EMEA Location: UK / Ireland Position Overview The Technical Solutions Specialist is a critical, hybrid role that serves as a technical consultant, Tier 3 support expert, and solutions analyst for Heartflow's non-invasive FFRct diagnostic technology. This position serves as the support bridge between our complex SaaS platform and our clinical customers. It requires deep expertise in Healthcare IT (HIT), networking, and systems engineering to guide complex implementations, and drive proactive product improvements. Key Responsibilities I. Clinical Implementation & Customer Success Guide and support customers through the technical lifecycle of our unique SaaS non-invasive diagnostic technology. Act as the frontline support resource for information on HeartFlow's technology, including network protocols, security and data protections associated with the transfer of medical imaging data over the Internet, cloud hosted platforms, and SaaS solutions. Contribute to HeartFlow's worldwide adoption of the novel FFRct product by providing knowledgeable and prompt responses to high-level customer inquiries and issues. Provide prompt documentation and complete resolution of reported issues and actively manage and expand the technical knowledge base. Work closely with the solutions engineering team to help deploy solutions that work within the existing infrastructure and workflow, overcoming technical and political obstacles that may arise. Assists Sales, Customer Support, Clinical Research and Technology teams in troubleshooting and alleviating customer issues. Assist with the roll-out of new HeartFlow products and services to existing and new customer base. Execute daily/weekly technical tasks to support regional sales initiatives. II. Advanced Technical Analysis & Solutions Engineering Serve as the Tier 3 escalation point for complex application and platform issues. Perform advanced troubleshooting related to clinical workflows, system integrations, underlying platforms and network components. Follow scripts, tooling, and automation workflows to streamline support operations and contribute to long-term system stability. Analyze recurring support incidents to identify systemic pain points and propose viable architectural or process improvements, collaborating with Development teams on hotfixes and patches. Demonstrate the discipline to work independently, rapidly assess priorities, and solve new technical challenges. Networks & troubleshooting: routing, firewalls, connectivity, latency issues. Security - Secure data protocols, encryption, web services, SSL certificates and keys. Operating systems: Windows and Linux deployment, diagnosis & troubleshooting. Hypervisors - Virtual Machines and mainstream Virtual application solutions. III. Data Feedback & Cross-Functional Leadership Deliver structured customer feedback into HeartFlow's Customer Relationship Management (CRM) system. Help team members analyze and distill technical and usage data to drive improvements in technology and underlying infrastructure. Contribute actively to the high-performing, global team by sharing new information and leveraging group wisdom to enhance team capabilities. Work cross-functionally to coordinate resources, support and information. Required Skills & Qualifications Technical Systems & Healthcare IT Expertise DICOM, Integration & Operability, Clinical workflows, PACS, HIPAA requirements, and PHI protections. Microsoft Windows Server/Desktop, Linux (RHEL, Alma Linux) Python, scripting, Microsoft SQL, Networking: Demonstrated experience troubleshooting IP, routing, connectivity, and latency issues. Virtualization: Knowledge of virtualization technologies required; experience deploying and troubleshooting VMs and working knowledge of Hypervisors. Security: Deep understanding of data protection, encryption, web services, and certificates. SAML integrations: SSO Single-Sign-On, Multi-factor Authentication (MFA). Cloud hosted platforms & web app services: API's & Amazon Web Services (AWS) Experience supporting large-scale websites and/or web-based products. Proven ability to analyze logs, trace, and isolate performance bottlenecks in complex, distributed systems. Special Working Conditions: the responsibilities of this position sometimes require working evenings and weekends, with little advanced notice. Required to be on call 24/7 as needed, Occasional travel to customer locations ( Professional & Communication Skills Customer-Facing Experience: Demonstrated customer-facing skills with a positive, professional personality and comfort presenting in front of groups. Communication: Exceptional written and verbal communication skills (fluency in English required), with the ability to translate complex technical findings into easily understandable business language. Responsible, accountable, and possesses the ability to work well within teams and cross-functionally. Comfortable in high-pressure situations and adept at managing client expectations during critical periods. Competency in German, French, Italian, and/or Spanish is desirable.(EMEA Only) Educational & Experience Requirements Educational Preference: Engineering or B.S. in Computer Science preferred (or sufficient and relevant experience). Industry Experience: 3+ years' experience working in the health care industry. Technical Experience: Minimum of 3 years of professional experience in a technical support, DevOps, or systems engineering role. Experience providing customer and/or corporate sales support preferred. Experience in training, mentorship, and process development is a plus. Physical Demands of the Job: Remote - Office environment. Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination. Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals. Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with and B) the position described is found on our careers site at/

Service Delivery Business Analyst ( IT) Location: Inchinnan, Scotland (HQ) Working pattern: Hybrid Who we are Peak Scientific is a global leader in innovative gas generation solutions for analytical laboratories, supporting important work across life sciences, pharma, environmental testing and more. We're proud of our customer-first culture and invest in our people to create a workplace where you can grow and do your best work. Our culture is often described as fun, friendly and informal - balanced with professionalism. The opportunity As our Service Delivery Business Analyst with the IT team, you'll partner with key stakeholders to deliver strategic business analysis that addresses priority initiatives across Service Delivery. You'll work closely with Service Delivery business partners to build an in depth understanding of their strategy, services, processes, roadmap, and operating context - then translate that into practical improvements, smarter ways of working, and meaningful reporting. A key part of this role is helping strengthen Peak's emerging AI capability within Business Analysis - identifying use cases, defining requirements, supporting evaluation, and helping ensure AI solutions deliver real business value. We recognise this is a developing area, so we're open to candidates with strong BA fundamentals and the aptitude to grow their AI capability. What you'll be doing Review end to end business processes to identify operational, financial and technological risks, and document the capabilities needed to address them. Identify and drive opportunities to improve efficiency and effectiveness across Service Delivery processes. Lead the integration of AI capabilities within BA practice: identify use cases, define AI-specific requirements approaches, and guide evaluation of AI solutions. Help establish standards for AI governance, ethics, documentation, validation and testing within BA work. Upskill and mentor others on AI concepts and how to bridge communication between technical AI teams and business stakeholders. Build monthly performance reporting and share insights with stakeholders to support decision-making and continuous improvement. Manage stakeholder relationships and expectations through clear, proactive communication and structured engagement. Provide advice and guidance on best practice approaches and the effective use of information systems. Contribute to multiple projects simultaneously, supporting timely delivery of tasks and milestones and collaborating with peers and senior stakeholders. What we're looking for Experience Ideally previous Service Delivery experience/exposure Knowledge of AI technologies/methodologies and how they can be applied to business analysis and service delivery or strong interest in developing this expertise. Track record of delivering initiatives, improvements, and efficiencies. Experience using ERP systems (essential); exposure to SAP FSM is beneficial. Skills & approach Strong communication and influencing skills; able to build trusted relationships across teams Comfortable working across both large, complex projects and smaller improvement initiatives at pace. Able to translate complex AI concepts into clear business value propositions for stakeholders. Strong attention to detail and able to deliver high-quality outputs under pressure. Genuine interest in technology and digital transformation; continuous learner. Why join Peak? Work with cutting edge manufacturing technology in a global, innovation driven business Opportunity to influence and modernise manufacturing processes Supportive, collaborative engineering culture Competitive salary and benefits package In addition to the opportunity to make a real impact in a growing global business, you'll also have access to a strong benefits package, including: Our values We're proud of the values that shape how we work: Put Customer First, Be Innovative, Stay Agile, Always Respectful, and Show Pride & Passion - backed by a culture of ownership and continuous improvement.

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better

Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber Security, National Security, Law Enforcement, Telecommunications, Defence, Science and Technology. We are seeking a talented and motivated Business Analyst to support the definition, analysis, and improvement of business processes, operational capabilities, and technology-enabled change within secure public organisations. The role bridges operational users, policy stakeholders, and technical teams to ensure solutions meet business and operational objectives. What's in it for you? You will be joining Daintta with accountability for delivering client projects and enabling others to deliver through leadership and collaboration. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive: a business that is growing fast and where you get to drive and shape the future, a place where you are respected and somewhere you can be innovative and creative Key Responsibilities Elicit, analyse, and document business and operational requirements. Facilitate workshops with operational users, technical teams, and senior stakeholders. Produce high-quality requirements documentation, process maps, user stories, and use cases. Support capability gap analysis and options assessment. Translate operational needs into actionable technical and delivery requirements. Support testing, acceptance, and business readiness activities. Ensure traceability from requirements through to delivered outcomes. Skills/Knowledge The role requires the following key skills / knowledge, non-exhaustively: Requirements engineering and management. Process modelling and business analysis techniques. Agile and traditional delivery approaches. Stakeholder engagement and facilitation. Operational analysis and capability assessment. Experience with tools such as JIRA, Confluence, Visio, or other Data Visualisation tooling. Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. Benefits We believe in supporting our people both professionally and personally. Here's what you can expect when you join us: Time Off 25 days annual leave, plus bank holidays Up to 5 days annual training leave with a dedicated training budget Up to 3 days annual volunteering leave - give back to the community Competitive maternity, paternity, shared parental leave & compassionate leave Health & Wellness Comprehensive Private Health Insurance Employee Assistance Programme - 24/7 support services £2,000 Flex Cash Allowance, paid pro-rata over the year Financial Benefits 5% pension contribution Discretionary company awards and bonuses, based on performance and company targets Access to Electric Vehicle (EV) Salary Sacrifice scheme Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Perks Free breakfast every Tuesday in the London office Fortnightly drinks - in London Regular social events, quizzes, and guest workshops Huckletree perks - including gym and restaurant discounts Employee referral programme Monthly breakfast club in our Cheltenham office Security Information Due to the nature of this position, you must have and retain a minimum of SC clearance and be desirable to attain DV clearance. Strong preference is to hold an existing DV clearance. To qualify, as a minimum, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see

Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber Security, National Security, Law Enforcement, Telecommunications, Defence, Science and Technology. We are seeking a talented and motivated Business Analyst to support the definition, analysis, and improvement of business processes, operational capabilities, and technology-enabled change within secure public organisations. The role bridges operational users, policy stakeholders, and technical teams to ensure solutions meet business and operational objectives. What's in it for you? You will be joining Daintta with accountability for delivering client projects and enabling others to deliver through leadership and collaboration. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive: a business that is growing fast and where you get to drive and shape the future, a place where you are respected and somewhere you can be innovative and creative Key Responsibilities Elicit, analyse, and document business and operational requirements. Facilitate workshops with operational users, technical teams, and senior stakeholders. Produce high-quality requirements documentation, process maps, user stories, and use cases. Support capability gap analysis and options assessment. Translate operational needs into actionable technical and delivery requirements. Support testing, acceptance, and business readiness activities. Ensure traceability from requirements through to delivered outcomes. Skills/Knowledge The role requires the following key skills / knowledge, non-exhaustively: Requirements engineering and management. Process modelling and business analysis techniques. Agile and traditional delivery approaches. Stakeholder engagement and facilitation. Operational analysis and capability assessment. Experience with tools such as JIRA, Confluence, Visio, or other Data Visualisation tooling. Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. Benefits We believe in supporting our people both professionally and personally. Here's what you can expect when you join us: Time Off 25 days annual leave, plus bank holidays Up to 5 days annual training leave with a dedicated training budget Up to 3 days annual volunteering leave - give back to the community Competitive maternity, paternity, shared parental leave & compassionate leave Health & Wellness Comprehensive Private Health Insurance Employee Assistance Programme - 24/7 support services £2,000 Flex Cash Allowance, paid pro-rata over the year Financial Benefits 5% pension contribution Discretionary company awards and bonuses, based on performance and company targets Access to Electric Vehicle (EV) Salary Sacrifice scheme Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Perks Free breakfast every Tuesday in the London office Fortnightly drinks - in London Regular social events, quizzes, and guest workshops Huckletree perks - including gym and restaurant discounts Employee referral programme Monthly breakfast club in our Cheltenham office Security Information Due to the nature of this position, you must have and retain a minimum of SC clearance and be desirable to attain DV clearance. Strong preference is to hold an existing DV clearance. To qualify, as a minimum, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see

Job title Data Business Analyst Ref 45447 Division Digital Location Hybrid - Clearwater Court - RG1 8DB Contract type Permanent Full/Part-time Full-time or part-time Salary Competitive salary up to £60,000 per annum Job grade B Closing date 18/06/2026 As a Data Business Analyst, you will play a key role within Thames Water's Data function, working across the organisation to proactively understand, capture, and catalogue the demand for data solutions. Acting as the bridge between business stakeholders and technical delivery teams, you will translate business needs into clear, actionable requirements and user stories that enable the successful delivery of data products and services. Working closely with stakeholders, data engineers, analysts, and other data professionals, you will ensure that data initiatives align with business objectives and deliver measurable value. You will take ownership of requirements from early concept through to detailed definition, applying Agile methodologies and Product Owner principles to drive the development of high-quality, reusable data solutions that support Thames Water's strategic goals. What you'll be doing as a Data Business Analyst Capture and document data requirements from internal stakeholders based on requests submitted through the Data Front Door project request process. Translate high-level business concepts into detailed user stories, acceptance criteria, and task breakdowns to support delivery teams. Collaborate with stakeholders across the organisation to understand data requirements and ensure alignment with business objectives. Act as an Agile Product Owner, defining and communicating a clear vision that enables development teams to deliver valuable and reusable data products. Participate in technical and functional discussions to ensure data initiatives meet both business and technical requirements. Build strong relationships with internal colleagues to understand departmental and organisational data needs. Gather and analyse stakeholder feedback on data services and products to support continuous improvement initiatives. Support the prioritisation, assignment, and management of work across data squads to ensure efficient delivery of data solutions. Facilitate workshops and requirement-gathering sessions to identify and document business and data needs. Work closely with data engineers, analysts, and architects to ensure solutions are fit for purpose and aligned with agreed requirements. Maintain accurate and comprehensive project and requirements documentation throughout the delivery lifecycle. Support the development of data products and services that enable informed business decision-making. Promote best practices in requirements management, stakeholder engagement, and Agile delivery. Contribute to the continuous improvement of data processes, governance, and service delivery. Ensure delivered solutions provide value, meet stakeholder expectations, and support business outcomes. Working pattern - 36 hours Monday to Friday. What you should bring to the role Proven experience as a Data Business Analyst or in a similar role delivering data-focused initiatives and projects. Hands on experience working within Agile delivery environments and acting as a Product Owner. Strong analytical and problem solving skills with the ability to interpret complex information and translate it into actionable outcomes. Excellent stakeholder management skills with the ability to build and maintain effective working relationships across all levels of the organisation. Experience facilitating workshops, gathering requirements, and documenting business processes and data needs. Strong communication and presentation skills, with the ability to explain complex technical concepts to non technical audiences. Ability to work independently while collaborating effectively within cross functional teams. Strong organisational skills with a structured and methodical approach to work. A strategic mindset with the ability to align data initiatives to wider business objectives. A commitment to delivering high quality outcomes and continuous improvement. Technical experience and skills Proficiency in SQL with a willingness to further develop technical and analytical capabilities. Strong understanding of data management, data governance, and analytics principles. Experience creating user stories, acceptance criteria, process maps, and project documentation. Knowledge of data mapping, requirements elicitation techniques, and business analysis methodologies. Ability to analyse data requirements and translate them into technical specifications for delivery teams. Experience working with Agile tools and frameworks to manage backlogs, priorities, and delivery activities. Strong understanding of how data solutions support business processes and operational decision making. Desirable qualifications and experience Experience working within the water, utilities, or waste management sectors. Knowledge of enterprise systems and platforms used within large organisations. Experience supporting data transformation programmes and enterprise wide data initiatives. Understanding of data governance, master data management, and data quality improvement practices. Desirable technical skills and qualifications Experience working with SAP, Salesforce, Azure, ESRI, GIS, Databricks, or similar enterprise platforms. Professional Business Analysis, Agile, or Product Owner certifications. Degree in Business Analysis, Data Analytics, Information Systems, Computer Science, or a related discipline. Familiarity with modern data platforms, cloud technologies, and analytics environments. What's in it for you? Competitive salary: Up to £60,000 per annum, depending on experience. Annual Leave: 26 days holiday per year, increasing to 30 with the length of service (plus bank holidays). Performance related pay plan directly linked to company performance measures and targets. Generous Pension Scheme through AON. Access to lots of benefits to help you take care of you and your family's health and wellbeing, and your finances - from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance. Find out more about our benefits and perks (Please note different T&Cs apply if on secondment)

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. About the Role In this role, you will build and maintain data pipelines and analytics infrastructure that power Roku's CTV advertising auction platform. You will support marketplace optimization by delivering high-quality datasets for advertiser performance, publisher yield, and revenue analysis across batch and near real time workflows. You will partner with product, analytics, and data science teams to translate business needs into well modeled, reliable data products. You will contribute to experimentation, simulation, and reporting foundations that inform bidding strategy and monetization decisions. This role is ideal for an engineer who enjoys high scale data systems, strong data quality practices, and measurable business impact. What You'll Be Doing Design and maintain data pipelines and analytics infrastructure supporting Roku's CTV advertising auction platform Build ETL/ELT workflows in Airflow to process auction events including delivery, bids, impressions, pricing, budget usage, and frequency cap signals Create scalable batch and streaming pipelines for billions of daily ad events with strong freshness, accuracy, and schema consistency Model datasets for multi objective optimization and marketplace analytics across advertiser, publisher, and platform outcomes Design aggregated tables and materialized views to support closed loop analysis of auction results and bidding behavior Own integrations from DSPs, programmatic exchanges, and direct campaigns and standardize schemas for unified reporting Partner with data scientists, analysts, and product teams to deliver clean, discoverable, and trusted datasets Enable yield and gross profit analysis through dimensional models, win rate metrics, demand health indicators, and experiment measurement tables Build data foundations for A/B testing analysis, auction simulation, offline replay, and post campaign reporting Implement data quality checks, monitoring, and observability while supporting privacy and governance requirements We're Excited If You Have Experience designing and operating production data pipelines at scale Strong SQL and Python skills and hands on Airflow experience Experience with both batch and streaming data architectures Familiarity with cloud data platforms and distributed processing systems Experience modeling event driven data for analytics and experimentation Knowledge of ad tech data concepts such as auctions, bids, pacing, and yield Strong fundamentals in data quality, lineage, monitoring, and governance Ability to partner effectively with cross functional technical and business teams Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Job Title Business Analyst Reports To Anita Jena Smol Working Pattern & Location Full time, permanent position at the Francis Crick Institute, St Pancras, London. Flexible working model allowing hybrid office and home work, with office presence at least three times per week. Salary & Benefits From £43,467 with benefits, subject to skills and experience. Application Closing Date 15 June :59 GMT About the role Join the Service Design, Business Analysis and Projects team within the Institute's IT Operations. As a Business Analyst, you will act as the bridge between users and technology, translating needs into practical and effective solutions. You will shape end to end user journeys, identify opportunities for process optimisation, and influence stakeholders to adopt the best solutions. Strong communication, analytical thinking, and ability to navigate ambiguity are essential. An interest in technology and a desire to grow through structured training, including the BCS Business Analysis International Diploma, are highly valued. Responsibilities Build relationships with key stakeholders across Science and Operations to gain a deep understanding of Crick user journeys Participate in and run analysis workshops with stakeholders to identify scope, quantify problems, elicit requirements, map and redesign business processes Identify and gather information to critically evaluate IT and business systems and their impact in delivering organisational needs Use knowledge of internal and external business practice to recommend solutions for improving systems, processes or ways of working Learn and understand the ITO estate of science and operations technology platforms, so that the right technology is implemented to meet stakeholders' needs Create meaningful, visual service design and business analysis documentation Contribute to design, build, and deployment of technical solutions Qualifications Relevant work experience, ideally in research, academic, science or technology industries Close working knowledge of IT systems that support a business function Close working knowledge of an organisation's business processes Ability to articulate and visualise complex problems and technical concepts to non-technical stakeholders Demonstrate critical analysis of business systems and processes Experience of capturing user requirements, managing and prioritising a requirements catalogue or product backlog Experience of mapping current and future business processes, system and data flows Experience of identifying improvements to process, practice or systems to resolve complex issues Build and maintain good working relationships with stakeholders across multiple business functions Experience of working with other technical teams within IT as part of the project or software development lifecycle Benefits 28 days of annual leave plus three additional days over Christmas and bank holidays Defined contribution pension scheme with employer contributions of up to 16% 24/7 GP consultation services, occupational health services and mental health support programmes Eye care vouchers and discounted healthcare plans Work life balance support: backup care for dependents, childcare support allowance, annual leave purchase options Crick Networks offering diverse group support and inclusive social events Discounted gym memberships, bike to work scheme and shopping discounts Subsidised on site restaurant and social spaces for team interaction EEO Statement The Francis Crick Institute is committed to creating a workplace where everyone feels valued, respected and empowered to succeed, irrespective of gender, ethnicity, ability or personal circumstances. We are a disability confidence employer, committed to providing reasonable adjustments throughout the recruitment process. The Institute welcomes applications from individuals of all backgrounds, identities and experiences. The Crick is a charity founded by the Medical Research Council, Cancer Research UK, Wellcome, UCL, Imperial College London and King's College London.

As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me. Lime is hiring a Senior Analyst to join our Global Operations team. In this role, you'll be at the forefront of improving in-field repair quality performance- developing key metrics, building tools that drive real-time visibility, and delivering targeted analysis that informs operational decisions and strategic opportunities. You'll serve as the functional bridge between Local Operations and our Product organization, translating operational needs into structured data requirements and tooling improvements. You'll collaborate closely with Local Operations, Product, Data Science, and Hardware teams to help shape the future of Lime's in-field repair quality across all of our operations as we continue to scale. The ideal candidate is highly analytical, technically strong, and passionate about using data to solve complex problems. You're equally comfortable partnering with local operations teams and product or engineering stakeholders - and you know how to both structure a process and build a dashboard. If you have 3+ years of experience in business analytics or operations, strong data analysis and visualization skills, and a drive to influence outcomes through insight, we'd love to hear from you. This is a hybrid role open to candidates located in London, Paris, or Berlin. The role requires occasional travel ( 10%) to Lime warehouses or other locations for team meetings. What You'll Do: Improve visibility into in-field repair quality: Define and maintain metrics to track repair performance, effectiveness, compliance, efficiency, and ROI - and build tooling to surface these insights in real time across operations Build models and dashboards: Use SQL, Tableau, and spreadsheets to develop repair volume forecasting models, quality compliance dashboards, and performance reports for local operations teams - with robust logic, clearly defined assumptions, and intuitive interfaces Monitor trends and diagnose performance gaps: Track repair efficiency and quality compliance over time, identify root causes behind variances or emerging trends, and recommend actionable solutions at both tactical and strategic levels Turn operational complexity into structured clarity: Bridge Local Operations and Product/Tech by converting messy, real-world business needs into crisp specs, user stories, data requirements, and SOPs that teams can actually execute against Formalize and improve operational processes: Map and document quality workflows, surface inefficiencies, and partner with Local Operations to define and roll out improved standard operating procedures Collaborate with partner teams to improve efficiency: Provide insight and targeted analysis to troubleshoot issues or highlight opportunities. Partner with Operations leadership and local teams to land recommendations and drive action through to resolution Drive continuous improvement in data analytics capabilities across global operations: Contribute to a culture of data-driven decision making and analytical excellence through peer collaboration, knowledge sharing, and support About You: Extremely strong proficiency in data analytics, including advanced SQL, spreadsheet modeling, and data visualization (e.g. Tableau or equivalent). Bachelor's degree in Business, Mathematics, Engineering, Computer Science, or a related field, or equivalent industry experience 3+ years of experience in business analytics or operations analytics, with demonstrated ability to build reports and dashboards used by operational stakeholders Experience translating business needs into functional data and reporting requirements, ideally working closely with a Product or Engineering team Ability to structure and document operational processes, comfortable with ambiguity and working from first principles when standard frameworks don't exist Curious mindset to spot trends in data, deep-dive root causes, and generate proposals for both tactical and strategic solutions Clear verbal and written communicator, with strong collaboration and influencing skills across both field teams and technical stakeholders Preferred Experience: Python, Google Apps Script, or other automation/scripting capabilities are a strong plus Previous experience in a fast-paced, scaling operations environment (gig economy, last-mile, field services, or similar) Experience working closely with Product or Engineering teams on tooling/product improvements If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page. Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That's why we're dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email for assistance.

Join Goodwin's Global Operations Team, and make a real impact on a global scale. At Goodwin, we work with some of the world's most successful and innovative investors, entrepreneurs and disruptors in the life sciences, private equity, real estate, technology and financial industries, and where they converge. As part of the Global Operations Team - all business professionals at the firm - you'll collaborate with colleagues from varied backgrounds and experiences, fostering an environment where cross functional learning, networking, and collaboration are at the core of what we do. Here, we're not just supporting a law firm; we're partnering with attorneys and clients to deliver cutting edge solutions in high stakes litigation and dispute resolution, world class regulatory compliance and advisory services, and complex transactions. Our commitment to integrity, ingenuity, agility, and ambition drives us, and we're proud to have been recognised as the "Best Business Team" by The American Lawyer. This is your opportunity to grow professionally in a dynamic, global environment, surrounded by forward thinking peers. The Desktop Support Analyst is responsible for providing high quality desktop, mobile device, application, and audio/visual support for attorneys and professional staff in the London and Cambridge offices. Responsibilities Provide direct hands on support to users who are experiencing desktop operating system, connectivity, mobile device, and application issues, and provide complete follow through to successful resolution. Perform hardware diagnostics and execute or coordinate repairs in a timely fashion to ensure customer satisfaction. Provide 1st and 2nd level support for software issues, including remote access support (VDI, Citrix, VPN, Microsoft Teams, and Zoom). Assist with hardware procurement and inventory management under the guidance of senior team members. Support installation and maintenance of practice specific applications and assess software compatibility with current operating systems. Participate in computer equipment installations, imaging, upgrades, refresh initiatives, and replacement projects. Assist in maintaining appropriate levels of hardware inventory to meet business needs. Conduct basic research on technology products to support procurement efforts. Participate in user support initiatives including onboarding activities, Tech Bars, and floor walks. Collaborate with other IT support groups to ensure proper communication about user services and issues. Assist the IT Infrastructure team with occasional hands on hardware installation and maintenance. Maintain vendor contact information and assist with troubleshooting in coordination with third party support. Engage with end users in a customer service oriented manner to provide solutions and desired outcomes. Document incidents and requests in the ServiceNow tracking system to ensure proper tracking and resolution. Document user requests and technical steps in clear, user friendly language. Assist with AV operations, including scheduling and coordinating video conferences, meeting room support, and monitoring live AV meetings. Support hybrid working technologies including docking stations, meeting room systems, wireless presentation technologies, and remote collaboration tools. Stay informed about emerging technologies and workplace tools to support team initiatives. Knowledge, Skills and Competencies Ability to effectively and professionally communicate and collaborate with all levels of the organization. Ability to adjust to changing priorities and manage tasks effectively. Exposure to desktop related projects and ability to contribute as part of a team. Familiarity with Microsoft Active Directory, Microsoft Intune, Entra ID, and endpoint management technologies is a plus. Experience supporting hybrid workplace technologies and remote access solutions including VDI, Citrix, VPN, Microsoft Teams, and Zoom. Understanding of desktop operating systems and integration with Microsoft Office, Microsoft 365, and legal applications. Experience supporting mobile devices, meeting room technologies, and audio/visual systems is preferred. Ability to communicate technical information in a clear and user friendly manner. Strong customer service, teamwork, and interpersonal skills. Strong troubleshooting skills across Microsoft Windows, Microsoft 365, collaboration platforms, mobile devices, and legal applications. Experience working within IT service management frameworks and ticketing platforms such as ServiceNow. Familiarity with Microsoft Teams, Teams Phone, Zoom Rooms, and remote collaboration technologies is preferred. Strong customer service mindset and ability to interact effectively with users at all levels of the organization. Ability to recognize recurring issues and elevate concerns appropriately. Exposure to AI enabled workplace technologies and productivity tools is considered a plus.

Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. The role is working within our AI group The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of Tripledot. Within the group AI team, you'll be working with other AI/ML Eng, Data engineers, analysts and product owners. Role Overview Within the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features. Progression opportunities will be within the AI group or to studios in the group. Key Responsibilities Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data. Design experiments and prototypes to test the viability and efficiency of new AI models. Translate research findings into real-world applications by creating algorithm prototypes in our codebase. Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle. Design, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience. Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms. Document your work clearly and concisely, fostering knowledge sharing within the team. What we're looking for A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience. Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods) Experience in applying machine learning algorithms to solve real-world problems. Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts. A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow). A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions). Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams. Experience with using generative AI copilots or agents in daily development work. A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results. Bonus points if you also have: Experience with more complex ML techniques (e.g. Reinforcement Learning). Experience with A/B testing methodologies in an online gaming context. Experience working in the games industry. Working at Tripledot 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 20 days fully remote working: Work from anywhere in the world, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Recent highlights have been: Thames River Cruise, London Dungeon and Summer Parties in Regents Park. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life Assurance & Critical Illness Cover: Financial protection for you and your loved ones. Health Cash Plan: Benefit from a health cash plan that contributes to your medical expenses. Dental Cover: Flash your best smile with our dental cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program subject to policy Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Cycle to Work Scheme: Make the most of our Cycle to Work Scheme for a green and healthy commute. Pension Plan: Secure your future with our contributory pension plan.

Senior Software Engineer (Data) Department: Engineering Employment Type: Full Time Location: London Description Hybrid: 2 days per week in our Tower Bridge office (Tuesdays & Thursdays) Uswitch At Uswitch, our goal is to be the UK's favourite way to choose and manage home-life essentials - from broadband and mobiles to energy and insurance. As we continue to grow and expand our services, we are looking for talented individuals who share our passion for making a positive impact on people's lives. If you want to be part of a team that is transforming the way consumers navigate their household services, we would love to hear from you! We're part of RVU, a group of online brands that include: Confused, Tempcover, money.co.uk, and Mojo Mortgages. The team Our Marketing Enablement team builds and manages the systems that help turn data into something useful. We work closely with multiple teams like CRM, PPC & analytics to ship the pipelines, integrations and tooling behind how we find and talk to customers. As a Senior Software Engineer, you'll help design, build, and maintain our data pipelines and the services around them. You'll bring strong software engineering fundamentals to a data-heavy domain, writing maintainable code, owning systems end-to-end, and improving how we collect, model, and activate data across the organisation. What you'll be doing Work with cross-functional teams to create end-to-end data solutions that support our analysts and business teams Design, implement, and optimise a cloud-based Extract-Load-Transform (ELT) platform to reshape RVU's data infrastructure and data warehouse Become an expert on handling behavioural data from more than three websites and dozens of e-commerce product areas, serving millions of users every month Build systems that enable self-service analytics and pave the way for data science applications across our businesses Monitor performance metrics for how Data is produced and consumed, and respond to Data incidents. What we're looking for Experience building, designing, refactoring or optimising data lakes and data warehouses from a variety of data sources using data modelling techniques Experience in Building Extract Transform and Load (ETL) pipeline (streaming / batch) using MPP frameworks (Spark, Beam, or other) Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses Experience building production grade ML pipelines Experience using infrastructure as code (Terraform, Cloud Formation, or other) Experience using CI/CD principles. You don't need to tick off everything on this list - so don't let that hold you back from applying. We want to make sure you're learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one off £300 "work from home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental, and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year Private medical cover, critical illness cover, and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Free in office gym, accessible 7 days a week Free breakfast in the office daily You'll be equipped with great technology (choice of Mac or Windows) Free access to the Calm and Peppy app for physical and mental health Regular events - from team socials to company wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.

Internal SOC Analyst page is loaded Senior Internal SOC Analystlocations: Cambridge Office: London Officetime type: Full timeposted on: Posted Todayjob requisition id: JR101593Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security Platform(TM) delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : As a Senior Internal SOC Analyst, you will play a pivotal role in safeguarding our organisation by leveraging Darktrace's proprietary security technologies across network, cloud, email, endpoint, and zero trust environments. You will lead the triage, investigation, and response to security events generated from our security stack, while acting as an escalation point for complex internal security queries raised across the business.This is a hybrid position working 2 days a week from either our London or Cambridge office.Working across a broad range of security domains, you will contribute directly to incident response decision making, help shape processes and playbooks, and support the continued maturity of our SOC. This role offers the opportunity to refine your expertise, mentor junior analysts, and influence best practices in a rapidly evolving threat landscape. Lead the triage and investigation of security alerts across multiple environments using Darktrace and other security tooling. Perform advanced incident analysis and coordinate remediation actions with internal stakeholders. Act as an escalation point for complex security tickets raised within the business. Drive continuous improvement of SOC processes, playbooks, and detection capabilities. Monitor emerging threats and contribute to updating detection and response strategies. Provide training, guidance, and knowledge sharing for junior analysts. Bachelor's degree in Computer Science, Cybersecurity, or a related field - or equivalent practical experience. 1-3 years of experience in a SOC, cybersecurity operations, or similar technical security function. Strong analytical, problem solving, and time management skills, with the ability to prioritise effectively in a dynamic environment. Excellent written and verbal communication skills, including confident presentation ability. Ability to work independently with minimal supervision, while collaborating effectively within a team. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.

Job Title: Quality Assurance AnalystLocation: Cambridge, UK - Hybrid (3 days per week onsite)About the RoleMake your mark at one of the biggest names in payments.We are looking for a Quality Assurance Analyst 1 to join our Cambridge based delivery teams, working on one of the highest volume global payment platforms in the world. Our platform processes millions of transactions daily, with a strong emphasis on robustness, security, scalability, and quality engineering excellence.You will be part of a cross functional agile team consisting of developers, QA analysts, product owners, and a scrum master. Each team owns its backlog end to end, from discovery through delivery and post live support, operating within Scrum, Kanban, or SAFe frameworks as appropriate.What You Will Be DoingAs a Quality Assurance Analyst, you will contribute to delivering high quality software by supporting quality engineering and testing activities, collaborating closely with your team, and building strong technical and domain knowledge. You'll help test and perfect fintech products that change the way people around the world pay, bank, and invest.You will:Contribute to the design and planning of test plans and test strategies for projects and applicationsSupport test planning activities for agile deliveries, working within Scrum, Kanban, or SAFe teamsAnalyse requirements and user stories to understand risk and derive effective manual and automated test coverageExecute testing thoroughly to assure software quality, including test case execution, exploratory testing, and automated test executionAnalyse and report on quality risks based on manual and automation results, producing defect reports and test completion reportsContribute to release support activitiesCreate automated tests to progress automation work items and enhance the existing test suite (e.g. using Selenium)Support and maintain the test automation framework, contributing to new features, existing functionality, and bug fixesCollaborate closely with developers, product owners, and other stakeholders to resolve issues in a timely manner, keeping progress and risks visibleActively contribute to continuous improvement initiatives, recommending quality and process improvements where appropriateWhat You Will NeedPractical experience working in a Quality Assurance or Test Automation role, supporting automated and manual testing activitiesCuriosity - you ask the right questions, listening and learning to get better every dayFamiliarity with working in an agile development environment (Scrum, Kanban, or SAFe), ideally within complex systemsHands on experience with test automation, including creating and maintaining automated tests (e.g. using Selenium WebDriver)A solid understanding of software testing principles, including test planning, estimation, prioritisation, and risk based testingExposure to agile testing practices such as BDD, TDD, or similar approachesAbility to analyse requirements and user stories, identifying risks and appropriate test coverageAn understanding of quality management methods, tools and technologies, with a mindset focused on continuous improvementStrong collaboration and communication skillsUNIX and SQL skillsA bachelor's in computer science, information systems, or other related discipline, or the equivalent experience.Bonus if you haveA keen interest in AI and the ability to use AI tools in your day to day workExperience working in a global online business, fintech, payments, or other complex industriesAbout the TeamTo learn more about our winning teams, check out our world-class teams that own it every day.What Makes a GlobalPlayerWhat makes a Global Player? It's simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We're dynamic - every GlobalPayer is empowered to make the right decisions for their customers. And we're determined, always open to learning, winning, and failing as one.Does this sound like you? Then you sound like a Globalpayer. Apply now to write the next chapter in your career.