Data Scientist​/Software Engineer

Position: Data Scientist / Software Engineer

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JWF Group is a long-established provider of process instrumentation and measurement solutions, trusted by customers across multiple industries for over 60 years. We are now expanding our capabilities beyond traditional measurement and visualisation toward advanced data-driven solutions. To support this transformation, we are seeking a Data Scientist with strong software engineering skills. Someone who can turn raw data into actionable insight, develop digital tools, and influence positive change both for our customers and internally within our business.

This is a forward-looking role with significant autonomy, suited to someone who is curious, analytical, and motivated by applying data science to real industrial environments.

In this position, you will work closely with the software team to lead data analytics projects for customers – identifying issues, uncovering insights, and communicating findings clearly. You will work with process data to analyse performance, propose additional measurement points to enhance diagnostic capability, and collaborate with instrument specialists to recommend the most appropriate devices for capturing this data.

You will also communicate with internal teams to understand and improve day-to-day operations across the company. This includes analysing internal data, highlighting inefficiencies, recommending improvements, and presenting your findings to team leads, directors, and board members.

The role provides freedom to explore available datasets, initiate new analytical projects, and suggest where enhanced measurement or data collection would deliver further value.

What You’ll Do Customer Focused Analytics

• Work closely with customers to identify issues and uncover opportunities for optimisation within their process.
• Communicate findings clearly to customers and stakeholders, ensuring insights are actionable and applicable to their process.
• Work closely with our instrumentation experts to select optimal devices and technologies based on customer measurement needs.

Internal Operation Development

• Analyse operational, sales, and service data to identify inefficiencies, bottlenecks, and improvement opportunities across the organisation.
• Work directly with team leads, directors, and board members to present insights and propose data-driven process improvements.

Software Engineering & Technical Delivery

• Build automated processes for data ingestion, cleaning, transformation, analysis, and reporting.
• Develop scripts, tools, dashboards, and small applications to support both internal and customer-facing analytics work.
• Support development of digital services, including customer-facing data visualisation dashboards and application development.

Innovation & Autonomy

• Proactively explore internal and customer datasets to identify new insights, opportunities, and potential data-driven product offerings.
• Develop a strong understanding of customer processes and industry challenges to pinpoint where analytics can deliver meaningful value and measurable improvements.
• Lead initiatives that grow the company’s capabilities beyond traditional instrumentation, shaping new analytical services, tools, and solutions.
• Help define the long‑term strategy for data and analytics within the business, contributing directly to the direction of future digital offerings.

About You – Skills and Experience Essential

• Strong analytical background with proven experience in data science, machine learning, or statistical modelling.
• Proficiency with data‑handling and analytic tools. For example:
  Python, SQL, Pandas, Num Py, or similar technologies.
• Understanding of data modelling, time‑series analysis, anomaly detection, or optimisation techniques.
• Experience in visualising and presenting analysis to both technical and non‑technical audiences.
• Foundational knowledge in software engineering, or willingness to expand technical knowledge, including API development, cloud…