Datatech Analytics

About the Company

Datatech is an Analytics Recruitment Agency for Data Science Jobs & Data Analytics Jobs.
Our team understands your specific skills and specialisms, career aspirations, and key values. We help realise your career goals and improve your work life. That's why so many of our candidates end up being our clients.

Our consultants pride themselves on understanding not just your skills and specialisms as a candidate, but also your aspirations and key values to ensure that the recruitment solution we offer meets your life and work objectives. Datatech believe in working with you to plan and support your career journey meticulously - that's why so many candidates end up being our clients as well!

Thinking laterally and resourcefully using our extensive industry knowledge, we focus on delivering a highly personalised recruitment service with quick yet effective results.

Whilst Analytics is our business, people are our passion...

Datatech have proven that our ethos of building informed and long-lasting relationships with both clients and candidates achieves mutually beneficial results.

Candidates - People registering with Datatech are often qualified to degree, M.Sc. or higher level in one or more of the following disciplines; Mathematics, Statistics, Economics, Operational Research, Management Science, Business Management, Computer Science.

Listed Jobs

Company Name

Datatech Analytics

Job Title

Customer Data & Intelligence Manager

Job Description

Job title: Customer Data & Intelligence Manager Role Summary: Lead the development and execution of the Global Customer Data Strategy, using advanced analytics to deliver insights, dashboards, and reporting that drive customer acquisition, loyalty, and growth across a multinational retail portfolio. Expectations: - Own the end‑to‑end delivery of customer‑facing data insights, ensuring accuracy, consistency, and regulatory compliance. - Partner with CRM, CX, and data science teams to transform raw data into actionable business recommendations. - Champion data governance, best practices, and cross‑regional alignment within the Customer Intelligence & Experience organization. Key Responsibilities - Develop, track, and execute the Global Customer Data Strategy roadmap in alignment with business objectives. - Analyse global customer datasets to measure performance, detect trends, and evaluate long‑term customer value. - Conduct competitor and market analyses to inform internal stakeholders on retail data strategies and consumer behavior. - Collaborate with CIX Insights & Data Science to identify opportunities that improve customer KPIs and accelerate growth. - Create and maintain comprehensive dashboards and KPI reporting for global customer metrics. - Present insights and strategic recommendations to senior leaders, influencing decision‑making and prioritisation. - Work closely with regional stakeholders to localise reporting while maintaining global consistency. - Enhance customer data processes, ensuring data quality, visibility, and traceability across systems. - Promote governance and best‑practice standards for all customer data initiatives and reporting. - Drive cross‑functional collaboration across multiple geographic regions to support data‑driven initiatives. Required Skills - Proven experience designing and implementing customer‑data‑first strategies in cross‑functional environments. - Advanced analytical skills; ability to interpret complex datasets and produce clear, business‑oriented insights. - Strong storytelling and presentation abilities, with a focus on translating data into action. - Deep understanding of CRM marketing, data‑protection regulations, and data‑driven marketing automation tools. - Demonstrated success in stakeholder management and building effective partnerships across complex organisational structures. - Experience managing and optimising data‑led projects within customer reporting or marketing analytics roles. Required Education & Certifications - Bachelor’s degree (or equivalent) in Data Analytics, Business Analytics, Marketing, Statistics, Computer Science, or a related field. - Relevant certifications (e.g., CRM, data analytics, business intelligence, GDPR compliance) preferred but not mandatory.

London, United kingdom

Hybrid

19-12-2025

Company Name

Datatech Analytics

Job Title

Machine Learning Engineer

Job Description

**Job Title** Machine Learning Engineer **Role Summary** Design, build, and maintain Python‑based ML frameworks and tooling that support the entire modelling lifecycle. Deliver reliable, scalable, and governed machine learning and statistical models into production, while driving higher engineering standards and continuous improvement. **Expectations** - Minimum 18–24 months at a senior analyst or equivalent level. - Proven experience developing and deploying ML/Statistical models in a commercial setting. - Strong Python proficiency and familiarity with version control (Git). - Ability to communicate clearly with both technical and non‑technical stakeholders. **Key Responsibilities** 1. Develop and operationalise Python‑based modelling tools, frameworks and APIs. 2. Build processes and tooling to enable efficient, controlled deployment of ML and statistical models. 3. Ensure models are production‑ready, scalable, and governed according to best practices. 4. Promote consistent, high‑quality modelling practices through reusable frameworks and standards. 5. Contribute to engineering maturity via best‑practice sharing, knowledge transfer, and code quality. **Required Skills** - Python programming and data‑science libraries (scikit‑learn, pandas, numpy, etc.). - End‑to‑end model lifecycle management (development, deployment, monitoring). - Experience with GLM, GBM, or similar modelling techniques is advantageous. - Familiarity with Git and collaborative software‑development workflows. - Strong analytical and problem‑solving abilities. - Excellent written and verbal communication. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field. - Relevant industry certifications (e.g., Microsoft Certified: Azure Data Scientist Associate, Google Professional Data Engineer) are a plus but not mandatory.

Manchester, United kingdom

Hybrid

12-01-2026

Company Name

Datatech Analytics

Job Title

Senior Data Scientist - Customer / Personalisation

Job Description

**Job Title:** Senior Data Scientist – Customer / Personalisation **Role Summary:** Senior technical and strategic lead within the Customer Data team, responsible for end‑to‑end machine learning initiatives that unlock customer insights, drive personalization, segmentation, and propensity modeling, and maximize the value of a newly implemented Customer Data Platform. **Expectations:** - Act as second‑in‑command to the Director of Customer Data. - Own and shape data science strategy, priorities, and impact. - Demonstrate strong leadership, stakeholder influence, and clear communication of complex concepts. **Key Responsibilities:** 1. Own the full machine‑learning lifecycle: problem definition, model design, experimentation, deployment, monitoring, and optimization. 2. Develop advanced ML solutions for personalization, segmentation, propensity modeling, and customer insight. 3. Collaborate with CRM, marketing, product, engineering, and regional teams to align solutions with business objectives. 4. Partner with data engineering and platform teams to build scalable, production‑ready pipelines. 5. Contribute to the evolution and activation of the Customer Data Platform. 6. Lead cross‑functional initiatives, provide technical guidance, and mentor junior team members. **Required Skills:** - 5+ years of hands‑on machine‑learning/data‑science experience in customer or commercial domains. - Proficiency in Python and ML libraries (pandas, numpy, scipy, scikit‑learn, TensorFlow, PyTorch). - Experience with cloud platforms (GCP, AWS, or Azure) and analytics tools (e.g., Dataiku). - Knowledge of MLOps practices: deployment, monitoring, retraining pipelines. - Strong communication, leadership, and stakeholder‑management abilities. - Familiarity with recommender systems, personalization, or deep learning is desirable. - Ability to work in global or multi‑regional environments. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field. - Relevant certifications (e.g., GCP Data Engineer, AWS Certified Machine Learning, or equivalent) are a plus.

London, United kingdom

Hybrid

Senior

30-01-2026

Company Name

Datatech Analytics

Job Title

Senior ML Operations Engineer (Python)

Job Description

**Job Title:** Senior ML Operations Engineer (Python) **Role Summary:** Own and enhance the deployment and operation of Python‑based machine‑learning and pricing models in a large‑scale production environment. Design and maintain shared tooling and frameworks that enable safe, repeatable, and frequent model releases, while collaborating with engineers, analysts, and business stakeholders to drive measurable outcomes. **Expactations:** - Full ownership of ML model deployment pipelines and related tooling. - Proactive communication with cross‑functional teams and stakeholders. - Ability to work independently and make engineering decisions that balance speed and reliability. - Eligibility to work in the United Kingdom. **Key Responsibilities:** - Develop, maintain, and improve Python‑based ML and pricing deployment processes. - Build and support shared deployment tools, CI/CD pipelines, and automation frameworks. - Ensure controlled, repeatable, and auditable model releases across environments. - Collaborate with software engineers, data analysts, and product owners to align deployment practices with business needs. - Contribute to technical direction and best‑practice standards within the ML Operations function. - Monitor production systems, troubleshoot issues, and implement corrective actions. **Required Skills:** - Strong Python development experience (3+ years), preferably in production ML or data‑driven systems. - Hands‑on experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) and containerization (Docker, Kubernetes). - Familiarity with model serving frameworks (e.g., TensorFlow Serving, TorchServe, FastAPI). - Knowledge of version control, automated testing, and release management. - Ability to design and maintain scalable, reliable deployment architectures. - Excellent problem‑solving, analytical, and communication skills. - Proven ability to work collaboratively across multidisciplinary teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related quantitative field (or equivalent practical experience). - Advanced degree (MSc/PhD) is optional but desirable. - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, Kubernetes Administrator) are a plus but not mandatory.

Manchester, United kingdom

Hybrid

Senior

09-02-2026