Datatech Analytics

Datatech Analytics is looking for AI Solution Architects & Technical AI Leaders in London. This role involves designing scalable AI architectures and leading teams to integrate and deploy AI solutions across financial services. The ideal candidate has experience in cloud platforms, strong communication skills, and a background in financial services. This position offers a hybrid work environment and is open to candidates from Manager to Associate Director level.

Datatech Analytics in Manchester is seeking a Senior AI Solution Architect to design and implement scalable AI solutions in capital markets. You will work closely with AI Engineers and senior leadership to shape AI architecture strategy and support enterprise deployment. The ideal candidate will have significant experience in AI architecture design, cloud platforms and data architecture within financial services. This role offers a hybrid working pattern and the chance to impact high-stakes AI transformation projects.

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 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.

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.

Datatech Analytics in Edinburgh is looking for a Senior AI Solution Architect to lead the design and scaling of AI solutions within financial services. This role involves collaborating with technical teams, translating business needs into scalable architectures, and ensuring compliance with governance and security. Ideal candidates will have extensive experience with AI and data architecture and a deep understanding of cloud services. The position offers a hybrid working model and an opportunity to influence meaningful AI transformations.

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 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.

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!

Datatech Analytics in Brighton seeks a Senior Product Data Scientist to join a hybrid product squad. You will partner with Product Managers, Engineers and Designers to shape product direction, challenge assumptions and drive commercial outcomes through data. You'll analyse customer and operational data, run experiments and build data-powered analytics to support product development and decisions, communicating findings clearly to stakeholders across the business.

DV Cleared Data Engineers UK, London, Manchester & Bristol Hybrid Active DV Clearance required We're working with a major UK organisation delivering secure, enterprise scale data platforms across defence and national security programmes. This is hands on engineering in live operational environments, building systems where scalability, resilience and reliability are critical. The role Designing and building modern data platforms and production grade pipelines across secure cloud environments. You'll work closely with engineering and architecture teams to support complex, high volume data systems that underpin real operational outcomes. What you'll be doing Building scalable pipelines across ingestion, processing and serving layers Working with Python, SQL, APIs and distributed data tooling Supporting structured and unstructured data workloads at scale Integrating multiple data sources into modern cloud platforms Collaborating across engineering and delivery teams on mission critical programmes Environment Python, SQL, Spark, Java or Scala AWS, Azure or GCP Modern distributed and cloud native architectures Requirements Active DV clearance, essential Experience building and maintaining production scale data pipelines Strong engineering and platform mindset Exposure to big data tooling and cloud ecosystems Comfortable operating in delivery focused, secure environments Why consider it Complex engineering challenges, high trust environments and meaningful technical ownership from the start. The work is real, the systems are live, and the outcomes matter. DV cleared and open to hearing more? Feel free to message me confidentially.

Datatech Analytics in the UK is seeking DV-cleared Data Engineers for hybrid roles across London, Manchester and Bristol. You will work on secure, enterprise scale data platforms and production grade pipelines in live environments. This hands on role focuses on building scalable data pipelines, integrating multiple data sources, and leveraging Python, SQL and distributed tooling within cloud platforms to deliver mission critical outcomes.

Datatech Analytics in the UK is seeking a Principal Data Architect to lead secure, enterprise scale data platforms across defence and national security programmes. This role sits in a high impact, high security environment with DV clearance non negotiable. You will partner with senior stakeholders and technical teams to design and deliver architectures that meet classified requirements, scale across cloud platforms, and drive strategy.

Principal Data Architect DV Cleared Secure Government & Defense Programmes UK Hybrid + Client Site Active DV Clearance required non negotiable We're working with a leading UK consultancy delivering mission critical data platforms across defence, national security, and highly classified government programmes. This is high impact, high security work designing data architectures that sit at the core of national capability. The Role Own the architecture. Lead from the front. You'll define and deliver secure, enterprise scale data platforms across complex, classified environments working directly with senior stakeholders and technical teams. What you'll do Lead enterprise data architecture across secure transformation programmes Design end to end data platforms (ingestion integration analytics) Build secure, scalable, resilient architectures for classified systems Translate operational and mission needs into technical solutions Lead teams across data, engineering, and delivery Influence strategy, capability, and technical direction Tech landscape AWS Azure GCP Databricks Snowflake Data lakes Warehouses Distributed systems DevOps Infrastructure as Code Secure deployment Data governance Secure access Analytics layers What you bring Active DV clearance (essential) Proven track record designing enterprise data platforms Experience in defence, national security, or secure government Deep expertise in secure cloud and data architecture Strong stakeholder influence at senior level Experience leading teams on complex programmes Why this role This isn't standard consulting. It's your opportunity to architect data platforms that operate in the most secure, high stakes environments in the UK. Real impact. Real complexity. Zero margin for error. Apply Now

Pricing Analytics Engineer - Consumer Pricing Bristol Hybrid (2 days per week in office) Competitive Salary Job Reference J13112 An exciting opportunity to join a highly respected consumer-focused organisation within a growing pricing function, where you'll play a key role in supporting pricing strategy through the deployment, automation and operationalisation of pricing models across the Consumer business. This role offers significant opportunity to influence pricing capability and improve commercial performance by enabling scalable, reliable and automated pricing processes. Working within a collaborative and technically capable team, you'll help deliver best-in-class pricing practices that support acquisition, retention and profitability in a highly competitive market. This is a hands on technical and analytical role where your work will directly support commercial pricing decisions through the development of robust data pipelines, workflow automation and production ready model deployment. You'll work closely with pricing analysts and stakeholders across the business to ensure pricing models and data processes are scalable, accurate and operationally effective. We're looking for someone who enjoys solving complex technical challenges, working with data and building automated solutions that drive real commercial value within a fast paced pricing environment. Responsibilities Support the successful delivery of Consumer pricing strategy and initiatives, driving profitability and trading performance Productionise pricing models by converting analysts' Python code into scalable, maintainable and deployable workflows Design, build and maintain data pipelines for pricing inputs, including ingestion, transformation, feature preparation and quality checks Build and automate workflows for elasticity, forecasting, optimisation and other pricing models Develop and manage API integrations, including competitor pricing feeds and downstream systems Work closely with pricing analysts to translate pricing logic into production ready processes Support model performance improvement through data preparation, feature engineering and data mining techniques Monitor production processes and model performance over time, recommending corrective action where required Ensure pricing models are deployed correctly and operating as expected within customer facing environments Maintain robust version control, testing, monitoring and technical documentation standards Ensure all pricing activity aligns with FCA regulatory guidance and internal governance processes Collaborate closely with Pricing, Finance, Marketing, Insights and Compliance teams across the business Skills required Degree in a numerical subject or equivalent relevant qualification Strong SQL skills and solid Python experience for model packaging and workflow automation Experience building and maintaining data pipelines and automated workflows Understanding of APIs, data ingestion and system integrations Experience with cloud based data platforms such as Snowflake Familiarity with Git and version control best practices Experience implementing data quality checks and monitoring production processes Working knowledge of pricing concepts such as elasticity, forecasting, optimisation and margin analysis Experience supporting analytical teams with feature engineering, data preparation and model inputs Background in analytics engineering, data engineering or a technical analytics environment Hands on experience operationalising analytical models using SQL and/or Python Strong analytical and problem solving skills with a continuous improvement mindset Strong stakeholder management and communication skills with the ability to build credibility and trust at all levels Commercially minded with strong delivery focus and financial awareness If you enjoy working in a commercially focused environment where your technical expertise directly supports pricing decisions and business performance, then this could be an excellent next step in your career. If this sounds like the role for you then please apply today!

Datatech Analytics is looking for a Pricing Analytics Engineer in Bristol to support the pricing strategy through automation and operationalization of pricing models. You will work closely with pricing analysts to develop robust data pipelines and workflows that drive commercial performance. Candidates should have strong SQL and Python skills, and a degree in a numerical subject is required. This hybrid role offers the chance to significantly influence pricing capability in a fast-paced environment.

Datatech Analytics, Borehamwood, is seeking a Graduate Data Science Analyst to kick start a career in data science. You will apply data, statistics and machine learning to influence business decisions with a clear progression path to Data Scientist. The role is hybrid, with 3 days per week in Borehamwood Head Office and home working. Salary circa £35,000 DoE. A full UK driving licence and access to a car are essential due to limited public transport.

Graduate Data Science Analyst (2025/2026 MSc in Physics or Maths preferred) Hybrid - 3 days per week in Borehamwood (Head Office) & Home Working. Salary circa - £35,000 DoE. Job ID- J13150 A full UK driving licence and access to a car are essential, as the Borehamwood office is not accessible by public transport and attendance is required as part of their hybrid working model. Join a FTSE 250 company, and kick start your career in Data Science. This is an exciting opportunity to work on real commercial challenges, applying data, statistics and machine learning to influence business decisions, with a clear progression path to Data Scientist. The role Analyze customer and commercial data to deliver actionable insights. Apply statistical techniques to optimise revenue and business performance. Query and analyse large datasets using SQL. Build analytical models and support machine learning initiatives. Develop self service analytics tools and support experimentation. About you A Master's degree in Data Science, Statistics, Mathematics, Computer Science or another quantitative subject. Experience using SQL and Python, R or similar. A solid understanding of statistics and machine learning. Strong analytical, problem solving and communication skills. Desirable experience includes forecasting, segmentation, clustering or anomaly detection.

Datatech Analytics is seeking a Data Science Engineer based in Central London. The role involves maintaining core Python modelling tools and migrating workflows to automated systems while supporting the marketing effectiveness team. The ideal candidate has strong Python skills, experience with data science, and a degree in a relevant field. You'll work in a hybrid model with a salary of up to £45,000, depending on experience.

Data Science Engineer - MMM/Econometrics (Central London, Hybrid) Salary: Up to £45,000 (depending on experience) - Reference J13129 We are a leading independent media agency looking for a Data Science Engineer to sit at the intersection of data science and engineering, supporting the marketing effectiveness team in delivering high impact, data driven insights. Responsibilities Maintain and enhance core Python modelling tools for Marketing Effectiveness. Migrate manual workflows into automated production systems. Develop in house tools that improve our MMM and econometric capabilities. Diagnose and resolve complex technical issues across production systems. Work closely with analysts and stakeholders to solve domain specific challenges. Ensure accuracy and configuration of tools used in client delivery. Produce clear technical documentation and promote best practices. Mentor junior engineers and contribute to peer code reviews. Qualifications Strong Python engineering skills (clean, modular, production ready code). Experience in data science, including ML/statistical modelling for MMM and econometrics. Strong SQL for data extraction and analysis. Solid understanding of software engineering fundamentals (Git, agile workflows). Ability to communicate complex ideas clearly to technical and non technical audiences. Degree in Computer Science, Data Science, or a related field. If this sounds like the role for you, please apply today!

Datatech Analytics in Royston is looking for a SQL Data Engineer, offering a salary between £50,000 and £65,000, along with numerous benefits. The ideal candidate will contribute significantly to our data transformation program and manage data integrity and quality. Responsibilities include collaborating with the Data Architect, ensuring robust data solutions, and acting as a liaison between technical teams and business stakeholders. The position features hybrid working with two days in the office and substantial discounts on products.

SQL Data Engineer - Azure Integration Hotel Chocolat Hybrid working - 2 days per week in office Hertfordshire/Cambridgeshire borders & Home/Remote Negotiable DoE £50,000 to £65,000 plus benefits Job Reference J13125 No sponsorship available for this opportunity As we continue our mission to make people and nature happy through chocolate, we're looking for a SQL Data Engineer to join our IT Team on a permanent basis. ROLE OVERVIEW Reporting to the Senior Data Manager, the SQL Data Engineer will play a key role in the organisation's data transformation programme, working across SQL Server, Azure Integration Services, data warehousing and enterprise data architecture. You will be responsible for helping shape Logical and Canonical Data Models (LDM/CDM), supporting the migration of legacy systems into a modern, scalable data environment and building high performance integration solutions across multiple business systems. The role is responsible for ensuring the optimal operation and performance of data pipelines across a range of business applications, whilst supporting the development of a centralised Single Source of Truth strategy. Beyond hands on engineering, you will act as a bridge between technical teams and the wider business, translating complex technical concepts into practical solutions and supporting the ongoing integrity, quality and reliability of enterprise data assets. JOB ROLE AND RESPONSIBILITIES Collaborate with the Data Architect to design and deploy LDMs and CDMs, facilitating the decoupling of legacy core systems from modern SaaS endpoints Design, deploy, and monitor event driven integration patterns using Azure Logic Apps, Functions, and Service Bus to manage transactional data via Change Data Capture (CDC) Develop data models and reports to meet business needs, proactively working with the business to ensure they are created to maximise the opportunity and functionality available Manage the migration of disparate data flows into a centralised "Single Source of Truth," ensuring consistency across datasets, dashboards, and reporting assets. Architect and maintain robust data quality solutions - including mastering, cleansing, and validation protocols, to ensure high fidelity data across environments Act as a technical liaison for business stakeholders, ensuring that data assets remain synchronised with evolving operational requirements Support the internal data consumer community by establishing and enforcing data standards and providing technical guidance to promote self service capabilities. SKILLS AND EXPERIENCE Essential Expert level T SQL with experience in Microsoft SQL Server, specifically the extraction and optimisation of data from complex legacy environments. Hands on experience with the Azure AIS suite, including Logic Apps, Azure Functions, and Service Bus (Topics and Subscriptions) Comprehensive understanding of normalisation, LDM, and CDM concepts, with a proven ability to visualise data flows that satisfy complex business logic. Experience with Change Data Capture (CDC) or Change Tracking to manage delta loads effectively. Desirable Prior experience within WMS, ERP or large scale retail replenishment environments Experience operating within structured project frameworks to deliver scalable data solution Demonstrated ability to translate complex technical architectures into professional presentations for non technical leadership The on site location for this role is our support office, Mint House, in Royston, Hertfordshire. The office is just off the A505 and 10 minutes' walk from Royston train station, with direct rail links to London King's Cross. As well as a competitive salary and a range of company benefits, you'll receive 50% discount on all products, and 70% discount for you and your guests when you stay at our Rabot Estate hideaway on the paradise island of Saint Lucia.