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

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

Company Name

Datatech Analytics

Job Title

Junior ML Operations Engineer (Python)

Job Description

**Job Title** Junior ML Operations Engineer (Python) **Role Summary** Supports the deployment and maintenance of Python‑based rating and machine learning models in a production pricing environment. Works across engineering, analytics, and stakeholder teams to ensure models are reliable, scalable, and meet quality standards. Engages in tool development, testing, and documentation to enable confidence in model delivery. **Expectations** - Develop foundational expertise in ML operations and production workflows. - Contribute to the modernization of pricing model pipelines and deliver measurable business impact. - Collaborate within a cross‑functional team, learning from experienced engineers. **Key Responsibilities** - Deploy and maintain Python‑based rating and ML models in live pricing systems. - Conduct testing, analysis, and quality assurance to validate model changes. - Build, improve, and document tools, frameworks, and APIs that support model deployment. - Work with engineers, analysts, and stakeholders to translate ideas into functional solutions. - Produce clear, structured technical documentation. - Build understanding of the business impact of ML on pricing and customer outcomes. **Required Skills** - Strong fundamentals in Python programming. - Logical, structured problem‑solving ability. - Curiosity, initiative, and eagerness to learn new technologies. - Good written and verbal communication skills. - Ability to collaborate effectively in a team environment. **Required Education & Certifications** - Bachelor’s degree (or equivalent) in mathematics, engineering, computer science, statistics, or a related technical field. - Equivalent practical experience may substitute for formal degree. ---

Manchester, United kingdom

Hybrid

Junior

09-02-2026