Datatech Analytics

Overview Junior ML Operations Engineer (Python) Salary: Up to £40,000 depending on experience Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months) Ref: J13059 This is an exciting opportunity to build a career in production machine learning within a large scale pricing and analytics environment. You will join a growing Machine Learning Operations team at the heart of a major transformation programme. The focus is on modernising how pricing models are built, tested and deployed into live systems. This role is ideal if you enjoy Python, problem solving and want to understand how machine learning works in real business settings rather than just notebooks. This is not a research focused role and it is not purely infrastructure. The impact happens in the middle, where models become reliable, scalable and ready for customers. What you will be doing Working on Python based rating and machine learning deployments used in live pricing systems Supporting testing and analysis to ensure changes are accurate, controlled and high quality Building and improving tools, frameworks and APIs that help teams deploy models with confidence Collaborating with engineers, analysts and stakeholders to turn ideas into working solutions Contributing to clear and well-structured technical documentation Developing an understanding of how machine learning impacts customer pricing and business performance What you will bring A genuine interest in machine learning systems and how models move into production Strong Python fundamentals and a desire to grow your engineering capability A degree in a mathematical or technical subject or equivalent practical experience Logical thinking and a structured approach to problem solving Curiosity, initiative and a willingness to learn Clear communication skills and comfort working as part of a collaborative team You will work on real systems that matter, not isolated exercises. You will be supported by experienced engineers, exposed to modern tooling, and given the space to build confidence in production machine learning and ML Operations. This role is designed to set strong foundations for long term technical growth. Right to work You must be eligible and authorised to work in the United Kingdom. Apply to learn more or message for a confidential conversation. If you have a friend or colleague who may be interested, please refer them to us. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit .

Senior ML Operations Engineer (Python) Salary: Up to £66,000 depending on experience Location: Manchester - Hybrid working (currently 40% on site increasing to 60% within 12 months) Ref: J13060 We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deployed and operated in a large scale pricing and analytics environment. This role focuses on production. You will work on Python based model and pricing deployments that run in live systems, designing the tooling and frameworks that allow teams to release changes safely, frequently and with confidence. It is not a research role and it is not purely platform engineering. The impact sits in the middle, where strong engineering judgement meets real world business outcomes. What you will do Own and improve Python based ML and pricing deployments Build and maintain shared deployment tools and frameworks Enable controlled and repeatable model releases Work closely with engineers, analysts and stakeholders Influence technical direction within ML Operations What we are looking for Experience working with production ML or data driven systems Strong Python engineering skills Comfort owning systems and collaborating across teams Clear communication and thoughtful problem solving You will have real ownership, flexibility in how you work, and the opportunity to shape how machine learning is operationalised at scale. Right to work You must be eligible and authorised to work in the United Kingdom. Apply to learn more or message for a confidential conversation. If you have a friend or colleague who may be interested, please refer them to us. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit .

Senior ML Operations Engineer (Python) Salary: Up to £66,000 depending on experience Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months) Ref: J13060 We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deployed and operated in a large scale pricing and analytics environment. This role focuses on production. Y

Senior ML Operations Engineer (Python) Salary: Up to £66,000 depending on experience Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months) Ref: J13060 We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deployed and operated in a large scale pricing and analytics environment. This role focuses on production. Y

A leading recruitment agency in analytics is seeking a Data Analyst to join their team in Greater London. The successful candidate will analyze large data sets, build dashboards, and present insights to stakeholders. A degree in Mathematics, Statistics or similar is required, along with 1+ years' experience in an Analyst role. Proficiency in SQL, Excel, and Tableau is crucial. This role offers a hybrid working environment with competitive salaries ranging from £35,000 to £50,000.

Data Analyst - 12 Month Fixed Term Contract Middlesex offices/Home - hybrid working 3 days per week in the office. Salaries in the region of £35,000-£50,000 DoE. J13029. Candidates must have working rights without sponsorship requirements. Fantastic opportunity for a graduate with 1+ years of proven commercial application experience in an Analyst role to join a highly respected global company. Candidate needs to have proven skills with SQL, analysing large data sets and working collaboratively as part of a team. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics etc are suitable - with a strong numerical and problem solving content. You should have experience delivering business insights and stakeholder engagement. You will be expected to provide analytical expertise and communicate technical data to non technical audiences to develop the data agenda in line with business priorities. A positive thinker with plenty of curiosity would be ideal for this role. Responsibilities Partner with core business areas to gain a deep understanding of their data, reporting, visualisation and analysis needs Manage a portfolio of dashboards, visualisations and data sources, and the continuous improvement of these Deliver robust and accurate data sets and visualisations within expected timescales Structure problems and design and develop numerical models to inform decisions Proactively consult and bring together multiple stakeholders and gain buy in to ideas and approaches Provide deep insight for critical business questions using a variety of analytical tools e.g., SQL, Tableau, Python and Excel Skills Proven advanced analytical skills Comfortable challenging and influencing senior management with conflicting views Creativity in recommending solutions and commitment to driving delivery Proven ability to lead the direction of analytical projects Excellent presentation and communication skills Strong business acumen and commercial awarenessProven technical skills including SQL, Excel and Python (or similar) Experience in design and creation of data visualisations and dashboards e.g., Tableau Experience 1+ year in an Analyst role Analysing complex issues, packaging findings and presenting effectively to stakeholders Managing databases and/or blending data Designing data for management information purposes Visualising data and presenting trends and findings for broad audiences If this sounds like the role for you then please apply 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.

A respected global company seeks a Data Analyst for a 12-month fixed-term contract based in Greater London. Ideal for a graduate with 1+ years of commercial experience in data analysis and SQL proficiency. The role involves collaborating with business areas to understand their analytical needs and deliver insights using tools like SQL and Tableau. The company offers hybrid working with competitive salaries between £35,000 and £50,000. Join a team that values creativity and analytical thinking.

A UK adventure business is seeking a Software Developer to join its remote-first team. The role focuses on evolving a modern website and building internal tools to enhance operations. Candidates should have strong JavaScript/TypeScript experience and be comfortable with both customer-facing and internal projects. This position emphasizes end-to-end ownership of tasks and collaboration within a small tech team. Competitive salary up to £50,000 PA based on experience.

Data Analyst Middlesex offices/Home - hybrid working 3 days p/w in the office Salaries in the region of £35,000 - 50,000 DoE J13028 Candidates must have working rights without sponsorship requirements Fantastic opportunity for a graduate with 1 + years' proven commercial application experience in an Analyst role to join a highly respected global company. Candidate needs to have proven skills with SQL, analysing large data sets and working collaboratively as part of a team. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics etc are suitable - with a strong numerical and problem solving content. You should have experience delivering business insights and stakeholder engagement. You will be expected to provide analytical expertise and communicate technical data to non-technical audiences to develop the data agenda in line with business priorities. A positive thinker with plenty of curiosity would be ideal for this role. Duties Partner with core business areas to gain a deep understanding of their data, reporting, visualisation and analysis needs Manage a portfolio of dashboards, visualisations and data sources, and the continuous improvement of these Deliver robust and accurate data sets and visualisations within expected timescales Structure problems and design and develop numerical models to inform decisions Proactively consult and bring together multiple stakeholders and gain buy-in to ideas and approaches Provide deep insight for critical business questions using a variety of analytical tools e.g., SQL, Tableau, Python and Excel Skills Proven advanced analytical skills Comfortable challenging and influencing senior management with conflicting views Creativity in recommending solutions and commitment to driving delivery Proven ability to lead the direction of analytical projects Excellent presentation and communication skills Strong business acumen and commercial awareness Proven technical skills including SQL, Excel and Python (or similar) Experience in design and creation of data visualisations and dashboards e.g., Tableau Experience 1+ year in an Analyst role Analysing complex issues, packaging findings and presenting effectively to stakeholders Managing databases and/or blending data Designing data for management information purposes Visualising data and presenting trends and findings for broad audiences If this sounds like the role for you then please apply 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. For more information, visit our website:

Software Developer (Web & Internal Tools) Remote-first UK-based up to £50,000 PA Dependent on experience We're supporting a well established UK adventure business that has recently brought its website development in-house and is now modernising internal systems and tooling. This is a hands on role in a small, trusted tech team, working across a customer facing web platform and the internal tools that help the business run smoothly. What you'll do Evolve and maintain a modern, high performance website, pages, features, performance, accessibility, SEO fundamentals Build internal tools to replace legacy Power Apps and manual workflows Own work end to end, discovery, build, release, iteration Collaborate with marketing and operational stakeholders to deliver practical solutions Tech skills Languages: JavaScript, TypeScript, HTML, CSS Front-end: component-based UI, static site generators (Astro, Gatsby, Next.js or similar), responsive design, accessibility, performance Back-end/systems: APIs/services (Node.js or similar), integrations, workflow-driven development Delivery: Git, code review, release discipline, pragmatic use of AI-assisted dev tools What we're looking for Commercial software development experience (web and/or internal systems) Strong JavaScript/TypeScript fundamentals Comfortable switching between customer facing and internal tooling work Practical, adaptable mindset, clear communication, collaborative style Interview process Conversational and scenario led. Our client is interested in how you approach problems and deliver outcomes, not lengthy take home tasks. No sponsorship available

Technical Project Manager Location: Central London - 5 days in the office onsite Reference: J13054 Salary: Neg up to £70,000- £90,000 DOE Note: Full and current UK working rights required for this role A dynamic opportunity has arisen to join a forward-thinking, high-performing SME, where you can truly make an impact and help shape the direction of the business. This successful SME is looking to strengthen its research and development team by hiring a Technical Project Manager to support and drive key projects. Do you have a structured mindset to be able to keep team focused and projects on track? You will support the company by monitoring progress of our various technical projects, prioritising and adapting to changing circumstances, and actively developing roadmaps. About the Role Key Responsibilities Drive project success by monitoring progress across multiple technical initiatives and keeping teams on track. Prioritise and adapt as circumstances change, ensuring the most important tasks are tackled first. Develop and maintain roadmaps that guide the team and align with business goals. Maximise efficiency by ensuring resources are used effectively and projects are delivered on time. Implement and refine processes, making adjustments to keep workflows smooth and productive. Identify risks and opportunities, applying business awareness to protect and enhance project outcomes. Keep the team focused and aligned, using your structured approach to bring clarity and direction. Regularly review and improve workflows, processes, and resource allocation. Document and report progress clearly, ensuring stakeholders are informed. Champion quality and excellence, inspiring the team to deliver their best work every day. Skills Over 5 years of experience in a technical project manager role, with experience of complex technical projects Educational to BSc level in a Technical, Engineering or related subject Strong leadership capabilities with experience guiding and mentoring colleagues. Excellent stakeholder management and communication skills Strong understanding of IT software and infrastructure Database experience (SQL Server, Oracle or equivalent) Experience in version control systems (PlasticSCM, Git, Hg, or other) and project management tools (such as YouTrack) is desired, but not essential. If this sounds like the role for you then please apply 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.

Overview Data Engineer - TV Advertising Data (FAST) Location: London - 3 days onsite Salary £75,000 - £85,000 Neg DOE Reference: J13057 Note: Full and current UK working rights required for this role We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels). A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle's Microsoft Fabric environment Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution Translate business and analytical needs into well-structured data models and technical solutions Automate data workflows to minimise manual processes and improve operational reliability Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus Strong proficiency in Spark SQL and PySpark, including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands-on experience integrating data from APIs (REST, JSON), including automated data collection Solid understanding of data modelling best practices for analytics and dashboards Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs) Strong problem-solving skills and the ability to diagnose and resolve data issues Excellent communication skills and experience working with cross-functional teams Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!

A major financial services group in the South West UK seeks a Data Scientist specializing in Machine Learning and Consumer Lending. This hybrid role offers a strong salary depending on experience and involves end-to-end ownership of ML models in production. The ideal candidate will possess solid Python and SQL skills, experience with statistics and real-world datasets, and insight into using ML for consumer lending improvement. Join a dynamic team dedicated to innovation and growth.

Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.

A forward-thinking SME in Greater London seeks a Technical Project Manager to drive key projects and enhance business impact. The role involves monitoring progress across multiple initiatives, developing roadmaps, and maximizing efficiency. Candidates should have over 5 years of experience in project management, a BSc in a relevant field, and demonstrate strong leadership, communication, and stakeholder management skills. This position offers a competitive salary of up to £90,000, with a requirement for full UK working rights.

A global player in advertising data is seeking an experienced Data Engineer to design and build scalable ETL/ELT pipelines for TV advertising data. The ideal candidate has over 5 years of experience in data engineering, strong skills in Spark SQL and Azure Data Factory, and a passion for optimizing campaigns and measuring performance. This London-based role requires full UK working rights and offers a competitive salary between £75,000 and £85,000.

A leading analytics recruitment agency is seeking a Principal Data Engineer to shape the technical direction of a cloud-based Enterprise Data Platform using Microsoft Azure. The ideal candidate will have strong experience designing data platforms and mentoring teams while ensuring high engineering standards. This role offers a competitive salary ranging from £68,000 to £75,000 based on experience and allows remote work. Join us to influence data solutions at scale and drive engineering excellence.

Principal Data Engineer (MS Azure) Location UK Remote Salary Up to £68,000 home based nationally or up to £75,000 home based for those living within the M25 dependent on experience plus a £600 per annum home working allowance Job Ref J13058 We are looking for a Principal Data Engineer to help shape the technical direction of data engineering across a cloud based Enterprise Data Platform built on Microsoft Azure. This role suits someone who combines strong hands on data engineering experience with the ability to guide teams, set standards, and influence how data solutions are built at scale. You will play a key role in ensuring the platform is engineered to a consistently high standard and can evolve to meet future needs. The environment The Enterprise Data Platform is built on Microsoft Azure, using Databricks, Microsoft Fabric, and Power BI to deliver trusted, governed data and analytics. What you will be doing Setting data engineering standards, patterns, and best practices Acting as a trusted technical authority across data engineering and analytics Shaping solution design and architectural decisions on Azure Ensuring data pipelines are scalable, reliable, and production ready Championing modern engineering practices including CI CD and automation Working in a forward deployed way with delivery teams to support progress and remove blockers Managing and developing data engineers, supporting growth and high quality delivery What we are looking for Strong experience designing and building data platforms on Microsoft Azure Hands on experience with Databricks and Microsoft Fabric Experience working with analytics and reporting tools such as Power BI Experience managing and mentoring data engineers Excellent communication skills and the ability to explain complex technical ideas clearly A collaborative approach and interest in raising engineering standards together If this role sounds interesting and you have strong Azure based data engineering experience, with the ability to influence through clear communication with technical and non-technical stakeholders, we encourage you to apply. 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. For more information, visit our website:

Senior Data Scientist - Customer Data Salaries in the region of £70,000 - £85,000 DoE. Hybrid working - 2/3 days central London office. Job Reference J13015. Full UK working rights required / no sponsorship available. Immediate requirement - strong leadership skills. The role Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learning, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies. Own the full ML lifecycle - from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. Skills Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries such as pandas, numpy, scipy, scikit learn, TensorFlow, PyTorch. Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross functionally with marketing, CRM, and engineering teams. Excellent communication and stakeholder management skills. Experience in a global or multi regional context is a plus. If you would like to hear more, please do get in touch. 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 hosts the critically acclaimed event, Women in Data. For more information, visit our website: .

A leading recruitment agency in analytics is seeking a Senior Data Scientist to lead the development of machine learning solutions focused on CRM personalization. This role involves building and optimizing recommendation engines and collaborating with cross-functional teams. The ideal candidate has proven experience in machine learning, particularly in recommendation systems, and proficiency in Python. The position offers a hybrid working model based in central London, with a salary range of £70,000 - £85,000 depending on experience.