Digital R&D Data Scientist

Purpose of Role: As a talented and motivated Data Scientist within our Digital R&D team you analyze (complex) data sets, develop predictive models, and extract actionable insights to support our and our customer’s strategic decision-making. You work closely with cross-functional teams to understand business needs, design data-driven solutions, and communicate findings effectively, tailored to your audience.

Why choose Weir:
Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It’s a big challenge – but it is exciting.
An opportunity to grow your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.
Feel empowered to be yourself and belong: Weir is a welcoming, inclusive place, where each individual’s contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.

Key Responsibilities:


· Data Collection and Integration: Gather and consolidate data from various sources, ensuring quality and reliability.
· Data Cleaning and Preprocessing: Identify and fix data anomalies, missing values, and inconsistencies.
· Exploratory Data Analysis (EDA): Use statistical tools and visualization techniques to uncover patterns and relationships.
· Feature Engineering: Create and select relevant features to enhance model performance and manage large datasets.
· Model Development and Evaluation: Develop, train, validate, and refine (predictive) models using machine learning and statistical techniques.
· Algorithm Implementation: Design and optimize algorithms for specific business problems.
· Data Visualization and Reporting: Develop dashboards and reports to communicate findings clearly to non-technical stakeholders.
· Collaboration: Work with cross-functional teams to understand business needs and provide data-driven recommendations.
· Project Management: Ensure data science projects are delivered on time and within scope, documenting processes and reporting outcomes.
· Continuous Learning: Stay updated with the latest advancements in data science and improve analytical processes.
· Ethical Data Use: Ensure compliance with data privacy standards and address biases in data handling.
· Performance Monitoring: Monitor and update deployed models and algorithms for sustained accuracy and relevance.

Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people


in over 60 counties, inspiring each other to do the best work of our lives.

For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page.