Data Scientist - Manufacturing & Product Analytics

EVera Recruitment; Coventry; On-site; GBP 45,000 - 65,000; Full time

Job summary

EVera Recruitment is seeking a Data Scientist in Coventry to transform manufacturing and product data into actionable insights. You will collaborate with engineering, manufacturing and digital teams to apply analytics, statistics and machine learning to complex engineering challenges.

The role focuses on analysing data to identify trends, developing models and dashboards, and supporting engineering decisions with data-driven insights for continuous improvement.

Qualifications

• An MSc, MEng or equivalent qualification in an Engineering, Science or Data-related discipline.
• Experience analysing manufacturing, operational or quality datasets.
• Strong programming skills in Python, Java or similar.
• Experience with SQL databases and data visualisation tools.
• Knowledge of statistical analysis, data modelling and machine learning.
• Strong communication and problem-solving skills.

Responsibilities

• Analyse manufacturing, quality and product performance data to identify trends and improvement opportunities.
• Develop analytical models, dashboards and reporting tools.
• Apply statistical and machine learning techniques to support engineering decisions.
• Define data and reporting requirements with engineering and digital teams.
• Support simulation and modelling activities using real-world data.
• Present findings and recommendations to technical and non-technical stakeholders.

Skills

Python

Java

SQL

Data Visualization

Education

MSc or MEng

Job description

EVera Recruitment is seeking a Data Scientist in Coventry to transform manufacturing and product data into actionable insights. You will collaborate with engineering, manufacturing and digital teams to apply analytics, statistics and machine learning to complex engineering challenges.

The role focuses on analysing data to identify trends, developing models and dashboards, and supporting engineering decisions with data-driven insights for continuous improvement.