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.

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• 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.
  

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• 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.
  

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• 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.
  

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• 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.
  

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• 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, NumPy, 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 architecture, version control, and application development.
  
• Ability to explore data independently and deliver clear insights.
  
• Strong communication skills and confidence interacting with customers and senior stakeholders.
  

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• Experience working with industrial process data and instrumentation.
  
• Experience developing applications using TypeScript in Node.js with React.
  
• Familiarity with cloud platforms (ideally AWS), Docker, and backend development.
  
• Experience building software solutions using version control (Git).
  
• Prior experience converting analytical work into small software tools or internal applications.
  
• Experience in app development and data retrieval from ERP software systems including ODOO.
  

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• Shape the future of a growing digital capability. You will be central to building new data‑driven offerings that expand the company’s technical value to customers.
  
• Real‑world impact. Your work will help customers improve efficiency, reduce waste, and optimise industrial processes.
  
• High visibility. You’ll present insights directly to directors and board members and influence strategic business decisions.
  
• Autonomy & innovation. Freedom to explore datasets, propose new initiatives, and build tools with real business impact.
  
• Career development. Opportunities to grow into a senior analytical, engineering, or hybrid leadership role as the digital side of the business expands.
  

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• 33 days holidays inclusive of statutory days plus an additional birthday holiday.
  
• Westfield Health healthcare plan.
  
• Employee Assistance Programme provided by Health Assured.
  
• Enhanced pension scheme.
  
• Discretionary annual bonus scheme.
  
• Bike to work scheme.
  
• Electric car scheme.
  
• Free onsite parking with electric vehicle charging.
  

Entry level

Full‑time

Industrial Machinery Manufacturing