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Become part of a mission-driven digital team helping to build secure, resilient services used by millions across the UK. The Driver and Vehicle Licensing Agency (DVLA), in partnership with Inspire People, is seeking a Senior Data Engineer with strong Python and SQL, large scale data processing, data integration techniques, decentralised version control systems and testing experience. Based in Swansea on a permanent SEO appointment, this role offers hybrid working (minimum 60% office-based in Swansea) and a salary of £44,241 - £58,997 plus c.29% employer pension contribution plus excellent Civil Service benefits. Shape the Future of Digital Services at DVLA Do you have a background in data or software engineering, analysis or data science? If you are a data enthusiast with a strong technical understanding and interest in engineering reliable and maintainable data products, we would love to hear from you. We are seeking a Senior Data (Product) Engineer to join DVLA's data platform team to help deliver high-impact data products enabling better decisions, insights and services across the DVLA. The successful candidate will be responsible for developing data engineering projects, ensuring the efficient processing and management of data across the organisation. The role requires good understanding of data modelling and processing but focuses on practical ability to implement solutions using a range of technologies and languages including SQL, Python, Databricks, Apache Spark, Lakehouse and various RDBMS. This is a senior, hands-on role. You will develop and support more junior team members whilst working on a modern data platform, collaborating with engineering product teams delivering services and working closely with reporting teams and data scientists to help understand and optimise digital services. You will help set direction and standards for data product engineering, ensuring that data products are well-designed, reliable, secure and aligned to user needs. While you will not be responsible for building or operating the underlying data platform, you will work in close partnership with platform teams to ensure data products are delivered efficiently and sustainably. As a Senior Data (Product) Engineer you will: • Design and lead the implementation of data flows to connect operational systems for data storage, analytics and business intelligence applications, • Recognise opportunities to reuse existing data flows, • Build data products using streaming systems, • Optimise code to ensure processes perform optimally, • Lead work on data modelling and storage approaches, • Operate the production data products you build, • Design and assure robust data models and integrations that meet standards, improve data quality and enable reuse across teams, • Proactively find and address performance issues in data products, • Support more junior data engineers within the team and help others apply standards, patterns and good practice for data engineering Essential skills for the Senior Data (Product) Engineer include: • Python and SQL languages, • Large scale data processing, • Data integration techniques such as API, ELT and ETL, • Decentralised version control systems such as git and mercurial Testing, • Programming and build skills with the ability to deliver a reliable solution to a business problem, • Ability to combine multiple data sources into a single dataset or model, • Ability to use data analysis and synthesis to understand a problem In return, you can expect a flexible working culture, including: • Best in class learning and development tailored to your role, • An environment with flexible working options where we encourage a great work-life balance, • A culture encouraging inclusion and diversity with a range of staff communities to support all our colleagues, • Generous employer contribution of 28.9%, depending on chosen pension scheme, • Digital communities with clear career frameworks, • On-site gym plus personal training available, on-site nursery, restaurants and coffee bar, • 25 days holiday, increasing by 1 each year up to 30, plus bank holidays and an additional Privilege Day to mark the King's birthday, • 24-hour Employee Assistance Programme providing free confidential help and advice for staff, • Free parking Why Join DVLA? DVLA is responsible for delivering safe, secure and reliable national motoring services at scale, supporting millions of drivers, vehicles and transactions across the UK. DVLA Digital is on a long-term transformation journey to modernise services, platforms and technology while maintaining public trust and safety. This is an opportunity to work on high-impact data products that enable better decisions, insights and services across the DVLA while helping shape standards for data product engineering across teams. To apply, please click 'Apply at advertiser's site' or contact Andrew Medhurst at Inspire People for further information.

About Scrumconnect Consulting At Scrumconnect Consulting, we help organisations deliver high-quality digital services through agile delivery, modern engineering practices, and user-centred design. Our teams work across a range of complex transformation programmes, building scalable, secure, and accessible solutions that create meaningful impact. We are looking for a highly experienced Principal Software Developer to provide technical leadership, shape engineering strategy, and drive the successful delivery of complex software solutions across multiple projects and teams. Role Overview As a Principal Software Developer, you will play a key role in defining technical direction, establishing engineering best practices, and mentoring development teams. You will collaborate with architects, product managers, delivery teams, and stakeholders to design and deliver robust, scalable, and secure software solutions. This role requires a strong technical background, excellent leadership skills, and the ability to influence engineering decisions across an organisation. Key Responsibilities • Provide technical leadership across multiple projects and delivery teams., • Define and drive software engineering standards, best practices, and development frameworks., • Design scalable, resilient, secure, and maintainable software architectures., • Lead the delivery of complex software solutions from concept through to production., • Collaborate with product, delivery, architecture, and business stakeholders to align technical solutions with organisational objectives., • Conduct architecture reviews, code reviews, and technical design sessions., • Mentor and support software engineers, senior developers, and technical leads., • Drive continuous improvement initiatives across development processes and tooling., • Champion DevOps, CI/CD, cloud-native development, and automation practices., • Identify and mitigate technical risks while ensuring high-quality delivery outcomes., • Support recruitment, technical assessments, and capability development within engineering teams., • Stay up to date with emerging technologies and industry trends, recommending improvements where appropriate. Essential Skills & Experience • Extensive experience in software development and technical leadership roles., • Strong expertise in one or more programming languages such as:, • Java, • JavaScript/TypeScript, • Node.js, • C#, • Python, • Go, • Experience designing and delivering large-scale distributed systems and microservices architectures., • Strong understanding of cloud platforms such as:, • AWS, • Azure, • Google Cloud Platform (GCP), • Experience implementing CI/CD pipelines and DevOps practices., • Strong knowledge of containerisation and orchestration technologies such as Docker and Kubernetes., • Experience with API design, integration patterns, and event-driven architectures., • Excellent understanding of software engineering principles, design patterns, and coding standards., • Experience working within Agile delivery environments., • Strong stakeholder management and communication skills., • Proven experience mentoring and leading engineering teams. Desirable Skills • Experience working within public sector or regulated environments., • Knowledge of security, accessibility, and compliance requirements., • Experience with Infrastructure as Code (Terraform, CloudFormation, Bicep, etc.)., • Experience with data platforms, analytics, or AI-enabled solutions., • Experience contributing to enterprise architecture and technology strategy., • Relevant cloud, architecture, or engineering certifications. What We Offer • Competitive salary and benefits package., • Opportunity to work on impactful digital transformation programmes., • Flexible and collaborative working environment., • Professional development and learning opportunities., • Access to a highly skilled community of engineers, architects, and delivery professionals., • Career progression opportunities within a growing consultancy. Diversity & Inclusion Scrumconnect Consulting is committed to creating an inclusive workplace where everyone can thrive. We welcome applications from candidates of all backgrounds, experiences, and perspectives. We believe that diversity strengthens our teams and helps us build better solutions for our clients and communities. If you require any reasonable adjustments during the recruitment process, please let us know and we will be happy to support you.

Tableau Developer - 1 day a month in London We are working on an exciting opportunity with a insurance company looking to add a Tableau Developer to the team. The role is 1 day a month in London and remote for the rest of the time. You will work with a team of engineers and data analysts to transform and load the data into Tableau reports and dashboards. You will need: • Tableau experience, • Data Analysis skills including reports and dashboards, • Stakeholder communication, • Strong Maths, Analytics and Communication Skills

Operational Researcher Experience.

Hiring: Data & Analytics Team Administrators (x2) | £30,000 | Fully Remote | Fixed-Term Contract.Data & Analytics Team Administrators.If you're passionate about data accuracy, love working in Excel, and enjoy streamlining processes with tools like.Contract runs until 31st August 2025.Manage and mo

Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries. Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security. With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity. If you think you would be the right person to join our team working towards this goal, we would love to hear from you! Role Overview The Digital Customer Success Manager will play a pivotal role in shaping and delivering an outstanding digital experience for our customers. This role is key to ensuring that customers gain maximum value from our software, using data-driven insights and digital engagement strategies. Reporting to the Customer Success Operations Manager, you will focus on designing and refining the digital customer journey, leveraging automation and technology to enhance the customer experience across multiple touchpoints. As a Digital CSM, you’ll drive customer satisfaction, engagement, and retention by managing digital-first communication strategies and fostering a strong community of users. You’ll also be responsible for ensuring smooth onboarding, renewal, and ongoing support processes by utilizing cutting-edge tools such as Gainsight • Customer Lifecycle Management:, • Develop and optimize digital engagement touchpoints throughout the customer journey, ensuring seamless experience for both new and renewing customers., • Use data analytics to monitor customer behavior, segment audiences, and personalize interactions to drive product adoption and long-term value realization., • Customer Community Engagement:, • Along with the Digital Program Manager, help moderate the customer community, encouraging active participation by sparking insightful discussions and sharing relevant content., • Drive customers to the community through innovative methods such as campaigns, webinars, and targeted outreach, to create a thriving, supportive space for peer-to-peer learning., • Content Strategy and Creation:, • Collaborate with marketing, product, and Digital Program Manager to execute targeted digital strategies that inform and engage customers., • Tailor content for different customer segments to meet specific needs and deliver consistent, compelling messaging across all touchpoints., • Customer Journey Mapping and Optimization:, • Collaborate with leadership to define and continually refine customer journey maps., • Implement and optimize automated workflows to scale efforts while maintaining a high level of personalization, • Proven experience in digital customer success, marketing, or a related field with a focus on tech-enabled engagement strategies, • Strong written communication skills with the ability to create compelling content tailored to diverse customer personas., • Ability to manage multiple priorities in a fast-paced environment, balancingstrategic initiatives with day-to-day responsibilities., • Demonstrated success in working with complex software products and a strong aptitude for learning new technologies., • Experience with Gainsight or similar customer success platforms is a strong plus. Compensation & Benefits The Compensation range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you. If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable). Ensure this is formatted as “normal” £50,000 -£62,700 (GBP) a year Salary range (min - max) Position Type: Net New Magnet is proud to offer benefits such as: - Generous time off policies - Competitive compensation - Volunteer opportunities - Reward and recognition programs - Employee committees & resource groups - Healthcare and retirement benefits What We Are Looking For We’re looking for someone who checks off most, but not all, of the boxes listed in “skills and experiences”. It’s more important to us to find candidates who can display indicators of success through skills they have developed and experiences they have been a part of, than to find folks who have ‘been there, done that”. We want to be part of your development journey, and we’ll learn as much from you as you learn from us. How We Work At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance. If you’re within a comfortable travel distance to one of our offices, you’ll occasionally join us in person. How often you’ll come in depends on your department and team needs, typically ranging from weekly to monthly. These in-person moments help us build stronger connections, spark new ideas, and celebrate our successes together. Most days, you can choose what works best for you, while staying in tune with your team’s goals. We’re excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best! The Most Important Thing We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences: CARE – We care about each other and our mission to make a difference in the world. OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect. DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect. EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work. Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways. Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact _ should you require any accommodations. All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment. US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found _.

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes to your existing skillset. • Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data., • You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc., • You’ve got a background in software engineering, including Front End technologies like JavaScript., • You’re a problem-solver, pragmatically exploring options and finding effective solutions., • An understanding of how to design and build well-structured, maintainable systems., • Strong communication skills and a collaborative approach to work., • You embrace the chance to try new things, learn new skills and grow your experience., • Experience of relevant cloud services within AWS, Azure or GCP., • Experience working in an Agile environment., • Experience working with common vendor products such as Snowflake or Data Bricks., • Experience working with CI/CD tooling., • 25 days’ annual leave, rising to 30 days with each year of service., • Generous family leave policies., • Access to an employer pension scheme, private medical services and Group Life Assurance., • A range of optional benefits such as discounted gym membership and a cycle-to-work scheme., • A meaningful approach to evaluating your performance and providing feedback on your progress.At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you’ll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behavior toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data to drive business insights and optimize product performance. You will create reports, dashboards, and performance metrics to help teams make informed decisions and improve user experience. This role requires a data-driven mindset, strong analytical skills, and experience with visualization tools to turn complex data into actionable insights. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. Collect, clean, and structure large datasets to ensure accuracy and usability. Define and track KPIs for marketing, product, and business performance. Work with SQL, Python, or R to extract, analyze, and manipulate data. Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. Conduct A/B testing and experiment analysis to improve product features and user engagement. Identify bottlenecks and opportunities in user journeys and customer funnels. Present findings in a clear and compelling way to stakeholders and leadership teams. Stay up to date with industry trends, analytics best practices, and emerging data tools. Around 3+ years of experience in data analysis, business intelligence, or a related field. Proficiency in SQL for data querying and manipulation. Experience with data visualization tools (Tableau, Looker, Power BI, Google Data Studio). Strong analytical skills with experience in Python or R for data analysis. Knowledge of A/B testing methodologies and statistical analysis. Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple projects. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

The Company Nigel Wright Tech is pleased to be working closely with a unique consultancy in their search for a Data and AI Engineer. The Role You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients. The Requirements This is a fantastic opportunity where you will get the chance to work on cutting edge AI projects within a collaborative and innovative environment. Key requirements include: • Experience in designing, developing and maintaining production ready, secure applications using AWS, GCP or Azure, • Exceptional stakeholder management skills with the ability to build strong relationships, • Implementation of data modelling and transformation processes to support advanced analytics and AI initiatives, • Explore and apply LLMs to build novel, AI driven applications, • Develop and maintain CI/CD pipelines to ensure seamless deployment and integration

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies.With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability,

A leading international law firm is seeking a Solutions DevOps Engineer to support the deployment of AI and LLM-powered tools.

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo.

Reporting into our Product Director, you will define product innovation-focused model lifecycle management and building into product roadmaps, creating and supporting go-to market plans and marketing campaigns for specific products. We are looking for a Senior Product Manager with experience gained

The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations. Work clos

Drug Safety, Pharmacovigilance, Healthcare, or adjacent Safety Industry. Define strategies, business processes, and implementation program(s) for deploying Vault Safety Workbench and Vault Safety Signal across an organization. As a key member of our Professional Services team, the Senior Consultan

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Core, Money, Borrowing, Operations and Financial Crime and beyond. Be part of the hiring team within Analytics Engineering. Drive effective project management of central Analytics Engineeri

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office.

Previous exposure to live production, broadcast, or 24/7 service environments.

Kalibrate exists to deliver the right insight, at the right time, to give organizations answers to their most challenging questions. We’re partners in growth. We serve decision makers across location and fuel pricing in markets all over the world — from high growth emerging concepts to the most established international operators. Our platforms and analytics solutions directly empower decision-making and provide clear financial value. These decisions help grow economies, create jobs, and improve the communities where we live, work, and play. Role Reporting to the Director of Data Science Research, the Data Scientist is a highly skilled individual contributor responsible for designing, developing, and deploying advanced data science solutions across Kalibrate's product portfolio. This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team. Key responsibilities include: Data Science Solution Development & Delivery o Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges. o Develop reusable tools, frameworks, and components to support and accelerate delivery of value from data science. o Deploy scalable and maintainable solutions to cloud environments, leveraging version control practices and robust code quality and documentation standards. o Work independently and as part of the Data Science Research team, contributing to research prioritisation and technical direction in collaboration with the Director and Product leadership. Technical Excellence & Mentorship o Demonstrate technical excellence by delivering high-quality, innovative solutions and championing best practices to ensure research outputs are reproducible, scalable, and maintainable. o Contribute to evaluation and adoption of appropriate tools, programming languages, and technologies. o Mentor junior team members, sharing knowledge and supporting their professional development. o Identify and contribute to patent opportunities and the company's intellectual property portfolio. Collaboration & Communication o Collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives. o Partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads. o Communicate technical concepts and outcomes effectively to both technical and non-technical audiences. Innovation & Continuous Learning o Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work. o Develop comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation. o Share knowledge and promote best practices across the team and company. Profile Qualifications & Profile o Ph.D. or master's degree in a quantitative discipline. o Demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments. o Expertise in statistical or econometric modeling and optimization techniques. o Proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability. o Strong written and verbal communication skills for both technical and non-technical audiences. o Cross-functional team collaboration experience with product, engineering, and business stakeholders. o Experience in pricing data science is desirable, particularly within the fuel or retail sectors. Technical Skills & Experience o Advanced proficiency in Python and/or R for data science development. o Proficiency in SQL for data extraction, transformation, and analysis. o Experience with version control (Git) and modern software engineering practices including code review and collaborative development. o Familiarity with using generative AI tools such as Github Copilot to support development and enhance productivity. o Knowledge of solution deployment with cloud platforms (preferably Azure), including containerization (Docker) and CI/CD pipelines is desirable. Location & Travel This a remote role within the UK. Travel to our offices in Manchester city centre, or client and partner locations, may be required for meetings and events. The Data Science Research team operates across multiple time zones globally, so working hours may occasionally need to flex to accommodate necessary collaboration with international colleagues. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

RISK DATA SCIENTIST (ESG & Supply Chain) £70,000 + BENEFITS PRIMARILY REMOTE Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL. THE COMPANY: I'm working with construction tech company that's making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you'd work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights. THE ROLE: This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform. A Data Scientist (Risk) will need to: • Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data, • Design and implement models from scratch using Python and SQL, • Collaborate closely with the cross-functional product team, • Contribute to GenAI-powered reporting tools YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: • Solid experience in risk modelling, • Strong Python and SQL skills, • A solid foundation in Statistics and ML., • Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Data Scientist 1 day a month in London (expensed) We are working with a networking organisation that specialises in financial services. They are looking to add their first Data Scientist to the team to lead on projects from start to finish. You will build a scoring model to match customers to the client and be able to work closely with stakeholders. You will need: • 3-5 years Data Science experience, • Python & SQL, • Predictive Modelling, Statistical Analysis experience, • Strong communication and stakeholder skills, • Have worked in a small organisation

📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + | ✨ ⭐Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 🔑You’ll play a key role by... • Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite., • Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases., • Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards., • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices., • Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance., • Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. 🤩We’d love to hear from you : • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others., • You have experience building robust and reliable data sets that require a high level of control., • You enjoy working with cross functional fast moving teams and are passionate about serving our customers., • You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers., • You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture., • You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business., • You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables., • You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering., • Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Technical task, • 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰 £97,800-£125,000 base + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-AS #LI-Remote

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Our client is looking for Junior and Middle level Data Engineer to join the teams. 1 day in office every 3 months. Permanent, salary is £45k- £65k depending on experience Job Details: • Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows, • Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans, • Maintain process quality and robustness through coding best practice, including version control, documentation and peer review, • Investigate and elaborate data issues to help drive continuous improvement in data quality, • Migrate Legacy processes to new data platforms, • Learn new tools and techniques to support data processing and analytics as we expand our toolkit Skills we would love you to have: • Minimum 2:1 in a relevant technical degree., • A good understanding of database architecture and querying using SQL., • A sound understanding of data transformation and cleaning., • Programming experience using any language such as Python., • Understanding of Microsoft Azure, Power BI and Snowflake only need skills in SQL, Cognos and a data visualization tools like Tableau, Power BI or Qlik, • 2- 4 years experience, good communication to work across functional team

My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are one of the leaders within the AI space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge multinational equity firm who are looking to bolster my client's financial position. They are expected to see year-on-year growth, which will allow them to implement and utilise the most in-demand and cutting-edge technology on the market right now. Main Responsibilities • Develop scalable systems and reusable components that serve as reference points for new team members., • Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation., • Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with minimal delay., • Utilise AI-powered development tools to enhance productivity and code quality., • Collaborate within Agile teams to refine and monitor data collection systems using Scala and Java., • Apply sound engineering principles such as test-driven development and modular design. Preferred Background • Hands-on experience with Spark and Scala in commercial environments., • Familiarity with Java and Python., • Exposure to distributed data systems and cloud storage platforms., • Experience designing data schemas and analytical databases., • Use of AI tools to streamline development and debugging., • Strong grasp of algorithmic thinking and performance optimisation., • Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra., • Experience with systems like Kafka or RabbitMQ., • Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - or call for a catch-up in complete confidence. Tenth Revolution Data Teams offer more opportunities across the UK than any other recruiter. We're the proud sponsor and supporter of SQLBits, AWS RE: Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

We are Jumar; we are award-winning digital specialists, delivering global IT projects. Our mission is to empower businesses through innovative technology that drives growth and enhances operational efficiency. Our teams of technology experts work with organisations to help them realise their digital goals, by providing project outcomes, teams and skills to complement their existing IT capability. For over two decades, we have constantly adapted to the evolving digital landscape to offer a wide array of IT services across both public and private sectors. The services we offer include Cloud and Intelligent Automation, Legacy Modernisation, Software Engineering, Strategy and Consulting as well as Role Augmentation and Recruitment services. Collaboration sits at the heart of our approach; we unite people from diverse backgrounds and empower them to deliver innovative solutions with our clients. Recently backed by a global private equity firm, we are on an exciting growth trajectory. This is truly an exciting time to join us on our journey. We are seeking a versatile and proactive Pre-Sales & Bid Management Specialist to support our sales and business development process across both public and private sectors. This hybrid role combines bid management and bid writing responsibilities with pre-sales consultancy tasks, including proposal development, SoW creation, and sales collateral generation. You will work closely with sales owners, technology practice leads, and delivery teams to craft persuasive and technically sound submissions that help convert opportunities into wins. This includes producing high-quality written material for bids, RFPs, proposals, case studies, and maintaining a library of reusable content. Key Responsibilities Bid & Proposal Development: • Manage and write compelling, compliant, and persuasive responses to bids, RFPs, and tenders., • Liaise with technical and delivery teams to capture content, validate feasibility, and ensure alignment with client requirements., • Review, edit, and format all responses for clarity, accuracy, and impact., • Ensure timely bid submissions while maintaining quality and adherence to internal review processes., • Conduct research into client organisations, procurement needs, and competitor activity to tailor proposals effectively. Pre-Sales Consultancy: • Actively support opportunity qualification and development through to conversion., • Collaborate with the sales team to understand client challenges and business drivers., • Create and maintain Statements of Work, proposals, presentations, and commercial models using standard templates., • Engage with practice leads to represent technical capability in written form (not as a solution designer)., • Support handover to delivery teams post-win. Sales Collateral & Knowledge Management: • Create and maintain reusable assets including case studies, SoW templates, capability decks, and whitepapers., • Keep the bid content library current and searchable using tooling such as Copilot or knowledge management systems., • Assist in standardising engagement models and proposal frameworks across service lines., • Collaborate with marketing to contribute to press releases and customer references. Skills and experience: • Proven experience in a Pre-Sales, Bid Writer, or Technical Account Manager role, ideally in IT services., • Track record of writing successful bids, especially in the UK public sector (including GDS and Crown Commercial Frameworks)., • Experience working on both outcome-based and contingent resourcing bids., • Understanding of technology concepts such as SaaS, Microsoft (.NET, Dynamics), legacy modernisation, or data analytics., • Ability to manage multiple concurrent bid or proposal efforts under tight deadlines., • High-level technical understanding and ability to translate technical concepts into client-focused messaging., • Excellent stakeholder management - capable of engaging C-level stakeholders and collaborating cross-functionally., • Familiarity with tools such as Tussell, Stotles, and Microsoft Office Suite. Benefits • 25 days annual leave (plus bank holidays), • An additional day of paid leave for your birthday (or Christmas eve), • 4% Matched employer contributed pension (salary sacrifice), • Life assurance (3x), • Access to an Employee Assistance Programme, • Private medical insurance through our partner Aviva., • Cycle to work scheme, • Corporate eye-care vouchers, • Access to an independent financial advisor, • 2 x social value days per year to give back to local communities.

Experience using a suite of core paid media performance and analysis tools such as Google Analytics, Adobe Analytics and Google Ads. Interest in and knowledge of up-to-date paid media best practices. PPC, performance marketing, digital marketing, account manager, google ads.

App Developer - Appsflyer Integration Location: Remote/UK-based A leading martech company are working closely with Google and are backed by their funding to develop a cutting-edge Marketing Mix Platform. The Role We're looking for an experienced App Developer to help with the Appsflyer integration and implementation. As our focus is on digital marketing analytics, your expertise will be essential in ensuring seamless app tracking and integration for clients. Responsibilities Implement and integrate Appsflyer into mobile apps and digital platforms Work closely with the team to ensure accurate data tracking and performance analytics Collaborate on digital marketing efforts, focusing on app performance and optimization Troubleshoot and resolve technical issues related to app tracking and integrations Requirements Proven experience with Appsflyer or similar mobile attribution platforms Strong app development background (iOS/Android) Understanding of digital marketing analytics and how app data integrates with marketing campaigns Familiarity with Google's Marketing Mix Platform or similar analytics tools (a plus) Strong problem-solving skills and ability to work independently Nice to Have Experience in the martech or Brandtech sectors Benefits Competitive salary and benefits Remote-first work environment Work with an innovative and growing team supported by Google

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

🚀 Why Midnite? Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we’re only just getting started. We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad’s bookie. 👀 The Role Title: Senior Data Engineer Team: Data Location: Remote UK Salary bands: £85,000 - £100,000 As Senior Data Engineer, you’ll help scale the data platform that powers decision making across Midnite. You’ll work on core platform improvements, reliable data pipelines, modern data tooling, and lower-latency analytics foundations that support the next stage of company growth. This is a high-ownership role for someone who brings strong engineering fundamentals and wants to shape how data engineering is done as the team scales. You will: • Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS., • Own end to end data engineering projects from ingestion through to analytics enablement., • Develop and optimise reliable SQL based data models., • Help build a stronger staging and testing environment for data changes before production., • Improve monitoring, alerting, and data quality across key pipelines., • Contribute to CDC and lower latency data movement initiatives., • Work closely with Product, Analytics, Engineering, and business stakeholders., • Participate in code reviews and help raise engineering standards across the team., • Pair with other engineers where needed and support more junior team members as the team grows. The next Midniter: • Has strong data engineering experience and can operate at senior individual contributor level., • Brings strong software engineering foundations and production-grade engineering habits., • Is highly capable with Python and SQL in real data engineering environments., • Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar., • Understands data modelling principles and can apply them pragmatically., • Cares about testing, monitoring, alerting, and data quality., • Thrives in a startup or scale-up environment with high ownership and ambiguity., • Communicates clearly with technical and non-technical stakeholders. 💰 Winnings • Private health insurance with zero excess, including optical cover and optional dental., • Income protection to protect your earnings and give you peace of mind., • Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years., • Flexible working and a fully supported home office setup so you can do your best work from home., • Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees., • Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want., • Retail discounts and subscription perks across a wide range of brands., • Quarterly team socials to connect, celebrate and have fun together. At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.

Senior Data Engineer - Greater Manchester An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers. Key Responsibilities: • Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure)., • Source and verify data from multiple sources, ensuring it is ready for ingestion., • Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies., • Analyse large datasets using Python and SQL., • Set up new pipelines for data streaming, enrichment, and curation., • Manage and maintain source code repositories (GitHub)., • Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: • Strong proficiency in SQL and Python., • Experience in cloud data solutions (AWS, GCP, or Azure)., • Experience in AI/ML., • Experience with PySpark or equivalent., • Strong problem-solving and analytical skills., • Excellent attention to detail., • Ability to manage stakeholder relationships effectively., • Strong communication skills and a collaborative approach. Why Join Us? • Work with cutting-edge technologies in cloud data engineering and AI/ML., • Opportunity for career growth and professional development., • Be part of an innovative and forward-thinking data team. If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you. Interested? Please Click Apply Now! Senior Data Engineer - Greater Manchester

Staff Frontend Engineer Location: Remote (UK-based) Salary: Up to £115,000 We're working with our client, a fast-growing SaaS company founded by serial entrepreneurs, to recruit a Staff Frontend Engineer. Their platform is transforming how leading professional services firms interact with complex data-think Figma for financial, legal, and consulting workflows. Role Overview: This is a high-impact, hands-on role where you'll lead the development of scalable, performant features across the stack. You'll work directly with the CTO and CEO, contributing to architectural decisions and driving innovation. This position is ideal for someone who wants deep technical ownership without people management responsibilities. Key Responsibilities: • Build and maintain features using TypeScript, and Vue.js (or React/Angular/Next.js), • Own architecture and design of key systems and applications, • Develop scalable, secure, and maintainable solutions, • Collaborate closely with senior leadership on high-priority projects Requirements: • Essential:, • Expert-level experience in full-stack development (Mainly focused on the frontend), • Strong knowledge of modern JavaScript frameworks, • Full Stack Experience (Using Node.js, Python or C#), • Track record of architecting and delivering complex systems, • Ability to work autonomously in a fast-moving environment, • Background in enterprise SaaS product development, • Desirable:, • Experience with Azure and Docker, • Familiarity with data visualisation or diagramming tools, • Exposure to AI-enhanced or real-time user interfaces

Our goal in Growth and Marketing is to build Monzo into a global brand people love. Data is super important in everything we do, and this role will lead the team making sure our Growth and Marketing folks can easily use data to inform their every day decisions. We will set you up to work from home;

Description Job Title: Consultancy Analytics Manager Infopro Digital, the B2B group specialising in information and technology, is currently looking for a Consultancy Analytics Manager on a permanent contract to strengthen the team at its Barbour ABI business. Barbour ABI powers the UK built environment with the best intelligence to help our clients grow. Best known for our construction project leads, our portfolio includes analytics, market research reports and bespoke consultancy. With over 1.7 million projects in our dataset, our products and services are renowned for their accuracy, depth, and efficacy. Join Barbour ABI and get the best of both worlds Working at Barbour ABI will provide you with the exciting challenges and autonomy you are looking for within a dynamic and nimble SME, but backed by the growth plans and structure of a global business, Infopro Digital, with 4000+ employees and leading intelligence brands in 26 countries. As Consultancy Analytics Manager you will be a key player in our growing consulting practice, you will be responsible for delivering project work, managing and developing client relationships and driving innovation within the team. This role requires strong analytical and consultative skills, aswell as the ability to think independently and develop solutions from the ground up. Beyond that, you will bring a genuine passion for the built environment, as this unique position allows you to directly influence the sustainable and innovative development of this vital sector. The consultancy division works remotely but has a strong and supportive online network of communication. You will be required to attend a monthly team meeting at our offices in Cheshire Oaks (near Chester). Key Accountabilities: • Deliver research projects including market sizing, scoping and growth strategy. These require a blend of primary and secondary research techniques for data gathering and analysis and studies on company and product information., • Develop new analytical approaches to improve existing processes and enhance the team’s capabilities, this often requires lateral thinking to create and test data sets., • Lead research projects from start to finish. This includes client briefings, managing research and communicating regularly with the client., • You should be adept at balancing work across multiple projects and clients, so experience of project management is key., • Ensure work is delivered to a high standard and within agreed timescales. Requirements • Expertise in data analysis; including data processing, model build, dashboard creation and analytics., • Ability to translate data into actionable insight that responds to a client’s need., • End-to-end management of research studies, including the use of proprietary market intelligence datasets and desk-based research using published data and statistics such as company data and official statistics., • Experience of working with both Quantitative and Qualitative research methodologies., • Experience of managing multiple projects concurrently., • A curious and innovative mindset, with the ability to think independently about an analytical challenge and develop new solutions., • Degree-level education in a related field such as Business, Economics, Politics or Geography (Masters level education desirable but not essential) or equivalent qualifications., • Proficiency in SQL, Python, Tableau/PowerBI and Microsoft Office suite., • Built environment/construction sector experience (desirable but not essential). Benefits • 25 to 30 days holiday, • 3pm finish on a Friday, • Day off for your birthday, • Purchase extra holidays, • Volunteering days, • Pension and Life Assurance, • Great company culture that offers professional development, training and regular social events Our Foundations and Values: At Infopro Digital, we are driven by core values such as entrepreneurial spirit, constant customer focus, promoting diversity, striving for significant impact, and a collaborative culture. By joining us, you become part of a dynamic community that embraces these values on a daily basis, shaping the future with passion and commitment. Diversity is one of our core values. We are convinced that our teams, drawn from all backgrounds and with different backgrounds and experiences, are one of the key drivers of our success. The Group is committed to a policy of equal opportunities and inclusion, from recruitment to career development, and we strive to provide an equitable working environment to promote the well-being of our teams. Who are we? Infopro Digital is a B2B group specialising in information and technology. With a presence in 26 countries, the group has over 4,000 employees of 79 nationalities. Infopro Digital connects professional communities. Our brands are leaders in the five key economic sectors: construction and public sector, automotive, industry, risk & insurance, and retail. With our solutions, our customers make informed decisions and companies develop their business and sustainable performance. Are you a passionate professional looking for new opportunities? Don't wait any longer and join Infopro Digital's community of professionals! Equal Opportunities We provide equal opportunities to employees and job applicants and do not discriminate either directly or indirectly, because of any protected characteristic or any other characteristic or activity protected by law. To fully comply with all laws prohibiting discrimination in all phases of employment, we have set up a system of monitoring all job applications, we therefore ask you to complete the equal opportunities questions on this form. This information will be collected anonymously, in confidence and will not be seen by anyone directly involved in the hiring process, it will be stored separately and used only to provide statistics for monitoring purposes. There is no obligation on you to provide information. All applicants will be treated the same, whether or not they provide this information.

Job Title: AWS Data Engineer Contract: 6 Months Location: Remote, UK Skills: • Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies., • Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)., • Experience with data visualization tool is plusExposure to online, mobile, and social data is a plus. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions., • Ability to independently own and drive model development, balancing demands and deadlinesStrong people skills, team-orientation, and a professional attitude., • Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data., • Must Have: Enterprise Knowledge Data Management, Data pipeline, Python, SQL, AWS, • Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

Do you thrive at the intersection of marketing science and business strategy? We're looking for a Principal Data Analyst, Marketing Analytics to own and execute our marketing measurement strategy - from Marketing Mix Modeling and incrementality testing through to attribution, channel economics, and

Data Engineer – Remote Working / London circ £60,000 - £70,000 Experienced Data Engineer required for this remote working / hybrid position based in West London (near Feltham, Hanworth, Hounslow etc). Ideally the successful candidate will be able to work on site once or twice a week, however the client would also consider candidates looking for a remote working role as long as they can be onsite once a month. The Data Engineer will join a small team and play a key role in developing and managing data integration projects as our client transitions data from legacy systems into modern infrastructure, reporting and analytics. The key responsibilities for the post include; • Design and develop a modern data warehouse (Azure or Snowflake), capable of ingesting data from multiple sources and that can store and organise large volumes of data., • Develop and implement an automated, repeatable data migration process suitable for use over multiple project phases., • Actively review data quality assessments, addressing any inconsistencies and apply data cleansing and validation techniques., • Build data pipelines that clean, transform, and aggregate data from disparate sources., • Stay up-to-date with emerging trends and technologies in data engineering. To be considered for the post you’ll need most, if not all the following:, • Proven experience (5 years+) in a data engineering or similar role, • Strong proficiency in SQL and database technologies (e.g. MS SQL, Snowflake), • Hands-on experience with ETL/ELT tools (Azure Data factory, DBT, AWS Glue, etc), • Strong Proficiency in Power BI and Advanced Analytics., • Good proficiency in Python for data processing, scripting and automation., • Any experience with DBT, Airbyte or similar transformation and replication products is advantageous., • Experience with data migration and mapping complex relational data between business systems., • Strong analytical skills with the ability to translate business requirements into data engineering solutions., • Excellent problem-solving abilities, attention to detail and ability to work independently or in a team., • Effective communication and interpersonal skills to foster relationships with stakeholders at all levels., • Degree in Computer Science, Information Systems, Data Science or a related field. Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young’s Employment Services Ltd. YES acts in the capacity of both an Employment Agent and Employment Business.

Location: Hybrid - London HQ (Fleet Street) + Remote Department: Customer Success Reports to: Head of Customer Success Base pay + Variable pay up to £10K annual performance-linked incentive Kamma exists to simplify one of the most complex and risky aspects of the housing market, making it clear, accurate, and easy to manage. Property licensing changes frequently, mistakes are costly, and even high-profile figures, such as Chancellor Rachel Reeves, _. We help customers stay compliant without stress, avoid major fines and turn compliance from a cost into a commercial advantage, while supporting higher standards in rental homes across the UK. Our platform has been rebuilt with fast, adaptable technology that allows us to launch new products quickly and respond to regulatory change. With enforcement rising and rent repayment orders set to double, demand for our solutions is accelerating. We already work with major names, including Foxtons, JLL, Knight Frank, Chestertons, Leaders Romans Group and Spicerhaart, and recent integrations open powerful new routes for distribution and growth. We are an AI-native company, always striving to find AI-first solutions. We train team members in new and evolving AI tools. We will work together to automate as many repetitive tasks as possible, allowing you to focus your time on the tasks that add the most value. This is a great time to join. The foundations are strong, momentum is clear, and we are scaling towards Series B revenue levels. You will join a curious, ambitious team motivated by solving problems with pace. Our culture rewards ownership, clarity of thinking and getting things done. It is a rare moment to join with equity options aligned to the impact you will have. Property licensing risk is increasing fast, and as we scale our platform and customer base, Customer Success becomes critical to retention, expansion and trust. We are hiring a Customer Success Manager to join our small but growing Customer Success team. You will be responsible for delivering proactive Customer Success for our mid-sized and Enterprise customers, which is central to retaining and expanding revenue over the next 12 months as we scale towards Series B. This is a new role and a new function at Kamma, with a significant opportunity to shape how we deliver world-class service while segmenting our approach by customer value. Your work will directly influence how we support enterprise customers through high-touch relationships, while enabling excellent, scalable and increasingly self-serve experiences for SMB clients. If you enjoy owning complex customer relationships, driving commercial growth and helping to build scalable systems that allow teams to focus where they add the most value, this role is for you. You will use your technical knowledge, sharp commercial instincts, and execution rigour to deliver value across different customer segments, with a primary focus on mid-sized and enterprise accounts, while supporting the transition to full self-serve support for SMB customers. Success in this role is defined by three outcomes: • Becoming a subject matter expert: on the regulatory complexities around property licensing to add the maximum amount of value to customers., • Operational Excellence: Ensuring successful technical integration for mid-sized and Enterprise customers, fast resolution of complex product queries, and reliable service across all segments. Delivering practical, on-the-ground feedback to help the Head of CS build a high-performing, world-class function., • Retention & Growth: Owning the full client lifecycle from initial setup through renewal, driving commercial expansion and account stability, with variable compensation linked directly to expansion and upsell outcomes. The hands-on work you do covers the full client journey: • Own Client Relationships & Service Delivery: Lead high-touch account management for mid-sized and enterprise customers, while playing a key role in shaping how we scale support for SMBs. As we move towards increasingly automated and self-serve support, you will help design, test, and improve the workflows and tooling that get us there, while stepping in where needed in the interim. You take ownership of the customer journey post-sale, from onboarding and adoption through renewal and expansion., • Onboarding: Lead and execute technical and operational onboarding for mid-sized and enterprise customers, including API integration, setting up the customer for long-term success with Kamma, • Drive Commercial Expansion: Identify, qualify, and close upsell and cross-sell opportunities within your customer portfolio (with the support of the Head of Customer Success)., • Contribute to Scaling: Work closely with the Head of Customer Success, providing practical, real-world feedback on workflows. You will help design and refine automated, self-serve tools and processes to ensure SMB customers receive excellent service at scale, while protecting time and focus for high-value customer relationships., • Experience: 5+ years in Customer Success or similar client-facing roles within SaaS or PropTech, with experience owning relationships for mid-sized or Enterprise customers., • Proven Track Record: Demonstrated expertise in managing complex client programmes and closing revenue opportunities (upsell and cross-sell), • Technical Acumen: You are comfortable speaking about API integrations, data flows, and technical solutions with both product teams and client stakeholders., • Environment: Comfortable in an early-stage environment with evolving processes, and motivated by the opportunity to help define those processes from scratch., • Tech Stack: Tech savvy and AI curious, comfortable learning and using modern tools and CRM systems (we use Intercom, HubSpot, Slack, Monday.com, etc) and other customer analytics and relationship tools., • Purpose and impact: help raise housing standards across the UK, • Strategic visibility: We are a small company, so you will work closely with the senior leadership, including the Head of Customer Success and commercial leadership, • High autonomy: play a foundational role in building a Customer Success function that becomes a true competitive advantage for Kamma, • Salary:, • Base Salary: £45,000 – £55,000 per annum, depending on experience., • Variable Pay: Up to £10,000 annual performance-linked incentive., • Equity: Participation in the company share option scheme., • Hybrid working: two office days per week in our central London HQ, • Great benefits including:, • 25 days holiday, which increases with tenure + we usually close for the Christmas period, • 2 charity days per year, • Pension scheme, health insurance, cycle-to-work scheme, book allowance, home office budget, curiosity budget and more. If you are an experienced Customer Success Manager who wants to own complex customer relationships, shape a function from the ground up and help scale a mission-driven company, we would love to hear from you.

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Data is crucial to the success of this mission and Borrowing Analytics Engineers are at the core of how we build, scale and re-architect our Borrowing Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better. Our Analytics Engineering team. Our Analy

Join Our Team as a Workforce Analytics & Insight Specialist! £600, inside IR35, 6 months, 1 day onsite per week in Midlands Are you ready to dive into the world of workforce analytics and help drive meaningful change? Our client is on the lookout for a passionate Workforce Analytics & Insight

A customer-centric UK retail brand with a strong digital and multi-channel presence is seeking a Customer Analytics Manager! This business is known for its people-first culture and long-term commitment to customer experience, and they continue to invest heavily their in data, CRO, and CRM capability

The Head of Analytics Engineering will play a key role in communicating insights with a focus on impact and enabling data-driven decisions across Sales, Marketing, Finance, Product and Engineering teams to align analytics solutions in line with business objectives and technical capabilities. Extensi