Senior Data Science Engineer (Applied Data Science/SAAS)

ZipRecruiter; England; Hybrid; GBP 50,000 - 55,000; Full time

Job summary

A well-established tech organization is seeking a Senior Data Science Engineer to drive data-driven product development. This hybrid role involves collaboration across teams, building models, and developing analytical tools. The ideal candidate will have strong experience in data science, proficient in Python and SQL, and a passion for solving business problems with data.

Qualifications

• Strong experience in Data Science or Machine Learning.
• Proficient in Python and SQL.
• Strong communicator with a delivery-focused mindset.

Responsibilities

• Building and refining models for decision-making.
• Designing analytics tools and data pipelines.
• Promoting best practices in data science.

Skills

Data Science

Machine Learning

Python

SQL

Data Wrangling

Communication

Tools

scikit-learn

TensorFlow

Azure

Job description

Job Description

Senior Data Science Engineer (Applied Data Science/SAAS)

Location: Hybrid - 2 days per week in either Hampshire or Worcestershire
Salary: £50,000 - £55,000 (DOE)

Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life?

We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation.

You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science life cycle and enjoys both experimentation and delivery.

Key responsibilities include:

• Building and refining models to support decision-making and customer insight
• Designing and developing analytics tools and pipelines for internal and external use
• Supporting productionisation of models and analytical workflows
• Promoting best practices in reproducible, ethical and explainable data science
• Exploring new technologies and techniques to evolve the data offering

What We're Looking For

• Strong experience in a Data Science or Machine Learning role
• Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation
• Comfortable working with varied datasets and translating findings for non-technical audiences
• Understanding of modern data workflows (version control, notebooks, testing, etc.)
• Strong communicator with a practical, delivery-focused mindset

Nice to have:

• Experience deploying or supporting ML models (eg regression, classification, recommendation)
• Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar
• Exposure to cloud platforms (Azure ), APIs or data services

Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK.

If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you.

Apply now to take your next step in applied data science.