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What You'll Be Doing - Provide technical leadership across AI-enabled software and DevOps engineering teams - Set architectural direction for API-first design, system integration, and platform enablement for AI - Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures - Define and guide integration patterns between applications, platforms, and AI services - Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design - Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions - Ensure solutions meet appropriate standards for security, resilience, performance, and operability - Anticipate and manage architectural and operational risks associated with AI-enabled systems - Champion strong engineering practices across software development, DevOps, and platform engineering Your Experience To succeed in this role, you will bring: - A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role - Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability - Strong experience designing and delivering API-driven and microservice-based systems - Proven ability to modernise or integrate legacy applications into modern software and platform architectures - Solid development experience in TypeScript and Python - Experience working across software delivery, infrastructure, CI/CD, and operational environments - Confidence providing technical leadership and architectural direction without relying on formal authority - Ability to balance innovation with pragmatism in complex, production environments In Return You'll play a critical role in shaping how AI is integrated into enterprise software platforms, working at the intersection of architecture, delivery, and operational reality. This is an opportunity to lead technically, influence system evolution, and build AI-enabled platforms that are robust, scalable, and fit for real-world use. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.

Postdoctoral Researcher in Quantitative Cell Biology/Biochemistry SALARY: From £39,500 per annum (depending on skills and experience) + Benefits JOB TYPE: Full-Time, 18 Months Fixed-Term Contract (with the possibility of extension) LOCATION: Didcot, Oxfordshire The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. If you are a creative scientist who would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in the epithelial tissue and glycobiology. We use super-resolution STED microscopy, CryoET, in combination with biophysics and chemical biology, to uncover how epithelial cells organise in space and time under different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue function. As a Postdoctoral Researcher at the Rosalind Franklin Institute, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy analysis. We are looking for a colleague with strong organisational and communication skills, with demonstrated laboratory experience. Experience in formulating research questions and devising strategies to address these questions would aid the individual selected for this role. We expect you to lead publications, contribute to research grant writing, collaborate with other members of the lab towards knowledge advancement. This post would be ideal for a candidate who has developed a strong background in imaging quantitative biology, biophysics or in vitro reconstitution and would like to lead a project developing novel imaging tools to understand different biomolecules of cell-cell interfaces and who would like to gain further experience in cutting edge techniques including super-resolution imaging, condensate biology and CryoET. Key Responsibilities Your primary task will be to lead a project on quantitative cell biology of cell interfaces. You will develop novel tools to visualise biomolecules (lipids, glycans, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based on super-resolution fluorescence and CryoET and will need to analyse data. We encourage applicants with a broad experimental-analytical interest, as the job holder will contribute both to the development of new methods and their application to investigate the organisation and dynamics of cell interfaces. As a Postdoctoral Researcher, you will also: Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research reports, patent applications) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around key Franklin's Challenges. Lead major contributions to research outputs including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to your own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchange of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Franklin's Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 23rd August 2026. Interviews are planned for w/c 14th September 2026. Key Words Postdoctoral Research Associate, Postdoctoral Research Scientist, Research Fellow, Research Associate, Postdoctoral Scientist, Cell Biology Researcher, Biochemistry Researcher, Biophysics Researcher, Quantitative Cell Biology Researcher, Bioimaging

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. Hungry for a challenge? That's good, because at Just Eat (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. About this role As the Senior Team Lead for Data Science - Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations. This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team. Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions. Location: Berlin, London or Amsterdam office with 3 days in the office and 2 days working from home Reporting to: Data Science Manager The Key Ingredients of the roleStrategic Leadership & Outcome Ownership (Approx. 75%) Team Leadership & People Management: Lead, manage, and scale a high-performing team of Data Scientists through mentorship, coaching, and performance management. Foster a collaborative and results-driven team culture. Drive Strategic Solutions: Own the team's contribution to defining logistics estimation solutions, ensuring direct alignment with critical company objectives and the broader business strategy. You will champion data science innovation ideas and partner closely with Product Management (PM) to ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. Drive Business Impact: Take ownership of key logistics KPIs, particularly overall ETA accuracy across the customer journey. Guide the team's focus on the highest-value initiatives and ensure data science moves in a data-driven direction. The DSTL partners closely with the Product Manager to advise and influence the strategic prioritization of work. Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier re-assignments, restaurant preparation delays) that impact model performance. Strategic Planning: Translate RCA findings into concrete, actionable plans and conceptual designs for incorporating new features or models to mitigate these business-driven inaccuracies. Stakeholder Communication: Act as the primary interface between the Data Science team and the wider audience (Product, Operations, Engineering). Expertly translate complex data insights and machine learning concepts into clear, actionable business insights for non-technical audiences. Technical Guidance & Conceptual Design (Approx. 25%) Conceptual Model Design: Focus on the conceptual design and validation strategy for new predictive features and models. Define what the model needs to achieve and how it should be validated. Technical Guidance & Review: Serve as the senior technical expert, guiding architectural decisions for prediction models and maintaining high standards through rigorous design discussions and model reviews. MLE Partnership: Partner closely with Machine Learning Engineers (MLEs), who own the deployment and scaling processes, to transition robust model designs and thoroughly documented algorithmic logic for production implementation. Insight Generation: Guide the team in deep-dive analysis of large-scale geospatial and real-time data to translate findings into actionable modeling recommendations. What You'll Bring to the Table A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field. Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment. This experience is crucial for providing effective strategic and architectural guidance. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Experience with deep learning is considered a plus. Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions. Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring. Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders. At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. Are you ready to join the team? Apply now!

Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms. Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding of data governance, data quality, statistical validation, and AI risk management. Comfortable operating in evolving environments where you can shape direction and define solutions. Desirable Experience Microsoft Copilot, Azure OpenAI, or similar AI platforms. Retrieval-Augmented Generation (RAG) and semantic grounding techniques. Executive-level analytics solutions and trusted AI implementations. Highly regulated or data-governed environments. What We Offer Opportunity to influence enterprise-wide AI and analytics strategy. Exposure to executive stakeholders and high-impact business initiatives. A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. Hybrid working with flexibility and a strong commitment to professional development. Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

DV Cleared Data Science Specialist (AI & Machine Learning) Location: Cheltenham, Ipswich, or Manchester (100% On-site) Salary: Up to 100,000 + 10% Bonus Working Pattern: Full-Time (37.5 hours per week, Monday-Friday) Security Clearance: Active DV Clearance (10+ years UK residency required) About the Role We are seeking a Data Science Specialist to join a premier technology and defence practice. Sitting within a specialist team, this strategic and technical leadership role is responsible for maturing internal data science capabilities and maximizing the value of complex datasets across critical platforms. Leading an agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team of 6 data scientists across multiple agile projects. Advanced Data Exploitation: Drive the exploitation of complex data sets on critical customer platforms to deliver actionable outcomes. AI & Algorithm Development: Coordinate the design, build, and implementation of custom data models, intelligent algorithms, and machine learning solutions. Mentorship & Capability Building: Act as a senior technical authority to upskill and mentor team members in data science and AI practices. Essential Skills & Experience Programming & Scripting: Expert-level skills in interpreted and compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing project delivery, and operating independently with an innovation-focused mindset. Package & Benefits Competitive salary up to 100,000 5,000 per annum DV allowance (payable monthly while holding active clearance in role) Up to 10% target annual bonus Market-leading pension scheme 25 days annual leave + bank holidays Rates depend on experience and client requirements

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role We're looking for a Senior Backend Engineer to build and scale Wise's price comparison platform. Comparison is about transparency-helping customers understand the real cost of sending money and why Wise is the better choice. You'll own the systems that collect pricing data from competitors and make it accessible across Wise, powering comparison tools and enabling data-driven decisions. This means building robust scrapers, reliable data pipelines, and APIs that teams depend on. Accuracy and trust are non-negotiable. You'll join the Marketing-Platform team in the Onboarding & Scalable Growth squad. We build the systems that unlock and optimise digital marketing and CRM, enabling £30+ million in marketing investment with proven ROI. What you'll do Build the backbone: backend systems and APIs that power Wise's comparison experiences. Make scrapers feel "magical": help define the roadmap for using LLMs and proven techniques to make data collection more stable, faster to evolve, and easier to scale. Turn competitive pricing into a real-time advantage: expand and strengthen our competitive intelligence system across 100+ competitors in money transfer. Obsess over data quality: build ingestion and validation pipelines with strong monitoring, accuracy checks, and rapid detection when the world changes. Make data trustworthy by default: improve reliability, transparency and usability of marketing data so internal teams can move faster with confidence. Design for scale: operate distributed, event-driven systems that stay reliable as volume and coverage grow. Work like a small team building something big: collaborate daily with product, engineering, analytics and data partners to ship the right thing. Own the whole experience: from shaping the solution to implementing, testing, releasing and watching it succeed in production. Raise the bar: through great testing, thoughtful reviews, and feedback that makes the whole team better. What we're looking for (Must have) 5+ Years of working as a software engineer Solid knowledge of relational databases and designing data models for correctness and performance. Experience building distributed and concurrent systems (e.g., Kafka or equivalent). Strong engineering fundamentals: testable code, unit + integration testing, and pragmatic testing strategies. Clear communication: able to explain technical decisions to non-technical partners. A product mindset: you prioritise customer outcomes and use data to guide decisions. Comfortable working independently on ambiguous problems, taking end-to-end ownership. Nice to have Hands-on experience with scraping technologies at scale and maintaining data quality/accuracy. Experience building backend systems with Java or Kotlin (or another JVM language). Experience with Spring (or similar JVM frameworks). Experience operating data-heavy systems with strong observability (monitoring, alerting, data quality checks). Experience with measurement/attribution, marketing platforms, or comparison products (not required). Fintech or regulated-environment experience (not required). What your first 6 months could look like You've embedded into the team, understood our goals and how your work connects to measurable outcomes. You've shipped production features end-to-end and monitored their impact after release. You've contributed to planning cycles and proposed improvements to take our comparison product further. You've built confidence in Wise's domain and engineering practices, and helped improve how the team works. Qualifications What does it take: 5+ years of experience in Java or Kotlin (or other JVM based language) Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka) Experience in scraping technologies at scale and maintaining data accuracy Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect to happen on a daily basis You enjoy writing testable code and you have experience in testing strategies, such as unit testing, integration testing You believe in and follow best coding practices, code reviews and open feedback You have great communication skills and the ability to articulate complex, technical concepts to non-technical audience You strive to improve our team culture and processes A strong product mindset and passion for customer experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points Being able to work independently on customer problems is a key to success - you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead, by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll also help implement efficient data pipelines & storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here, we would expect you to contribute to our recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria as if unsuccessful we can provide you with feedback. Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies. Strong experience in IaC and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines. Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. You are a skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. You can demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders. You have the experience to improve resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit integration, data quality, etc) You are skilled at offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process. Working with senior stakeholders to gather requirements and keep them engaged with Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning models Job Benefits Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: ️ 30 days Holiday - we offer 30 days of paid annual leave Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. Pension - 7% employer matched An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Ideally, no more than 30 consecutive days spent outside the UK within the last five years. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.

DV Cleared Data Science Specialist (AI & Machine Learning) Location: Cheltenham, Ipswich, or Manchester (100% On-site) Salary: Up to £100,000 + 10% Bonus Working Pattern: Full-Time (37.5 hours per week, Monday-Friday) Security Clearance: Active DV Clearance (10+ years UK residency required) About the Role We are seeking a Data Science Specialist to join a premier technology and defence practice. Sitting within a specialist team, this strategic and technical leadership role is responsible for maturing internal data science capabilities and maximizing the value of complex datasets across critical platforms. Leading an agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team of 6 data scientists across multiple agile projects. Advanced Data Exploitation: Drive the exploitation of complex data sets on critical customer platforms to deliver actionable outcomes. AI & Algorithm Development: Coordinate the design, build, and implementation of custom data models, intelligent algorithms, and machine learning solutions. Mentorship & Capability Building: Act as a senior technical authority to upskill and mentor team members in data science and AI practices. Essential Skills & Experience Programming & Scripting: Expert-level skills in interpreted and compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (eg, TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modelling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing project delivery, and operating independently with an innovation-focused mindset. Package & Benefits Competitive salary up to £100,000 £5,000 per annum DV allowance (payable monthly while holding active clearance in role) Up to 10% target annual bonus Market-leading pension scheme 25 days annual leave + bank holidays *Rates depend on experience and client requirements

Job Title: Senior AI Product Engineer - Python, LLMs Location: London (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced AI Engineer to join a rapidly growing organisation. This is a unique opportunity for someone who thrives at the intersection of product leadership, AI innovation, customer engagement, and commercial strategy. You'll operate across the full product lifecycle shaping roadmaps, working closely with engineering teams, engaging senior stakeholders, and delivering AI solutions that solve real-world business problems. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. Own and lead the end-to-end development of enterprise AI products from concept through to market launch and scale Define product strategy, roadmap, success metrics, and go-to-market plans Partner with AI engineers and data scientists to build production-grade AI capabilities Engage directly with senior client stakeholders, from analysts to C-suite executives, translating business challenges into AI-driven solutions Key Skills and Experience you must have: Strong experience in AI Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms (Claude, Open AI and AI orchestration frameworks) Experience within Financial services. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV.

hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights . We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions - from new dataset pipelines and ML models to AI-powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities: Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI-assisted internal tools - including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) - to demonstrate near-term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications: Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define 'ship-or-kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders. Qualifications Desired Attributes: Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech-agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery â delivery â adoption â iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Account Manager - Pharma Client (Randstad) Employer: Randstad (Based permanently on-site with our client) Location: Ideally based near Witney, Abingdon, or Maidenhead Travel: Full UK Account Network (Includes occasional travel to Dundee, Sittingbourne, and London) Hours: Monday - Friday, 08:30 - 17:30 (with a bit of flexibility) Flexibility: 4 days on-site, 1 day working from home Perks: Company car or car allowance provided The Reality of the Role Let's be honest from the start: this isn't a hands-off, sit-at-home account management job. We are looking for someone who loves being visible, building real relationships, and driving operational excellence from the ground up. In this role, you will be a permanent Randstad employee, but you'll be based directly on-site with our client , managing a dedicated white-collar workforce solution for a major Pharma business . Their footprint is vast-you could be walking the floor of a bustling warehouse one day and presenting data to research scientists the next. Because presence and partnership are everything here, you'll be embedded on-site 4 days a week, keeping your finger on the pulse of the account. While you'll ideally live within an hour of our main client hubs ( Witney, Abingdon, or Maidenhead ) to keep your daily commute manageable, you will need a full UK driver's license. Our client's network spans from Kent up to Dundee, so you must be ready to hit the road when the business needs you. What You'll Be Doing You will lead an on-site team of 3 Randstad professionals, acting as the critical bridge between the client, your team, and Randstad's backend supporting functions (Compliance, Payroll, Billing, and Recruitment Delivery). Relationship & Vacancy Management: You'll partner closely with the client's hiring managers to maximize vacancy capture, managing and tracking up to 70 open white-collar requisitions at any given time alongside our delivery team. When bottlenecks happen, you'll be the one to step in, smooth things over, and find solutions. Data & Tech: You will live and breathe VMS data (ideally B-Line ). You will conduct monthly compliance audits, oversee invoicing, resolve queries, and track actions rigorously. Strategic Growth: You won't just execute; you'll improve. You'll analyze account data, build compelling presentations, and deliver strategic reviews that align Randstad's commercial priorities with the client's vision. What We Need From You We need a proactive problem-solver who can handle the fast-paced nature of a major pharmaceutical account without losing an eye for detail. Recruitment Account Management: You have a proven track record managing large-scale, outsourced white-collar recruitment solutions (onsite or managed service provider experience is ideal). VMS Expertise: Heavy experience navigating VMS systems (B-Line experience is a massive plus). Data Literacy: You can look at a spreadsheet, spot the narrative, and turn it into a polished presentation for senior stakeholders. Leadership & Escalation Skills: You know how to motivate a small team and confidently manage tough conversations with client stakeholders or internal HR when issues arise. Strong Communication: You can seamlessly shift your style whether you are speaking with a warehouse manager, a lab researcher, or a corporate executive. Ready to apply? If you want the backing, progression, and benefits of working for a global leader like Randstad , combined with the fast-paced autonomy of managing a major client account directly on-site, we want to hear from you. Apply today. Inclusivity Statement: We are an inclusive employer. Should you require any reasonable adjustments in order to complete any aspect of the recruitment process, please reach out to our Internal Talent Acquisition team, and we will be happy to support you. Randstad is committed to equal opportunities for all and will not discriminate based on an individual's sex, race, disability, gender reassignment, pregnancy and maternity, marriage and civil partnership, religion or belief, sexual orientation or age. We are an inclusive employer and should you require any reasonable adjustments in order to complete any aspect of the recruitment process, please contact us on (url removed)

Senior Data Scientist (leadership role) - Customer Data - 100K + 50% bonus + 6,500 car allowance - Southampton Senior Data Scientist, Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology. This role will require you to be in Southampton 2-3 days a month Key Responsibilities: Lead, coach and develop a high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions. Drive best practice in data science, model governance and technical delivery. Deliver measurable business value through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics

SENIOR DATA SCIENTIST UP TO £70,000 + EQUITY LONDON HYBRID WORKING - 2 DAYS PER WEEK Join a fast-growing fintech redefining lending through smarter, more personalised credit decisions. Take ownership of end-to-end modelling and shape how data directly drives real-world lending outcomes. THE COMPANY A UK-based fintech lender building an innovative consumer lending product focused on flexibility and affordability. The business is customer-first, using income and affordability data to make fairer lending decisions beyond traditional credit scores. With a proven model in place and strong growth plans, they offer a unique opportunity to join at an early but established stage. THE ROLE As a Senior Data Scientist, you will take ownership of credit risk and decisioning models, working across the full lifecycle from development through to deployment. This is a highly hands-on role with significant influence on how data drives commercial lending decisions. Specifically, you can expect to be involved in: Building and optimising credit risk models, including scorecards and machine learning approaches Deploying models into production and monitoring performance over time Developing data pipelines and integrating multiple data sources into decisioning frameworks Working closely with stakeholders to ensure models directly influence lending strategy and outcomes SKILLS AND EXPERIENCE Strong experience developing credit risk models, including scorecards and ML models Proficiency in Python and SQL for data analysis, modelling, and data manipulation Experience working with cloud-based infrastructure (e.g. AWS) Understanding of model deployment and production environments Ability to translate technical work into commercial lending and commercial insights Familiarity with financial services data such as bureau, Open Banking or affordability data BENEFITS The successful Senior Data Scientist will receive up to £70,000 and a comprehensive benefits package.

Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)