Data Scientist

Kinetica; England; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A growing instrumentation company in Oxfordshire is seeking an experienced Data Scientist to enhance data modeling and machine learning capabilities. The successful candidate will analyze data, develop analytics pipelines, and collaborate with software engineers to integrate models. A PhD or BSc in a quantitative field is required, along with strong Python skills. This role offers opportunities for independent work and teamwork in a fast-moving environment.

Qualifications

• Experience in Data Science, Physics, Engineering, Computer Science, or a related quantitative field.
• Skilled in Python for scientific computing and workflow automation.
• Strong grasp of model development and deployment.

Responsibilities

• Analyse and interpret data.
• Develop analytics pipelines and apply machine learning techniques.
• Collaborate with software engineers to validate models.

Skills

Data analysis

Machine learning

Python

Signal processing

Education

PhD or BSc in Data Science, Physics, Engineering, Computer Science

Tools

Git

Cloud platforms

Job description

Data Scientist – Oxford/ hybrid – Instrumentation

About the Company:

We are looking for an experienced Data Scientist to join a growing instrument company in Oxfordshire. Your role will be to drive the next stage modelling and machine learning capability. You will be pivotal in developing, validating and integrating complex analytical workflows to transform data.

Responsibilities

• Analyse and interpret data.
• Develop and enhance analytics pipelines, including signal processing, anomaly detection, and source localisation.
• Apply machine learning and AI techniques to complement physics-based models and improve detection accuracy.
• Collaborate with software engineers to integrate and validate models within the cloud platform.
• Support deployments and deliver insights to assist customers.
• Produce clear, data-driven reports and presentations for internal and external stakeholders.

Requirements

• PhD or BSc with experience in Data Science, Physics, Engineering, Computer Science, or a related quantitative field.
• Skilled in Python for scientific computing, version control (Git), and workflow automation.
• Strong grasp of model development, validation, and deployment in research or production environments.
• Analytical thinker with excellent problem-solving and communication skills.
• Able to work independently and thrive in a collaborative, fast-moving environment.