Data Scientist II

About the job

We’re looking for a Data Scientist II to join our Malaysia team.

When you work for us, you get the chance to join nearly 50,000 people all driven by a common purpose of delivering a more sustainable world. We’re excited about the challenges ahead. We believe there’s never been a more rewarding time to work in the energy, chemical and resources sectors.

We offer a flexible approach to working, because our people are safer, healthier, and more productive when they can balance work with life. That’s why there are flexible and hybrid working options, so you can choose when, where and how you work.

As a Data Scientist II, you will be responsible for analyzing and interpreting complex data to identify trends, patterns, and insights that inform business decisions. Utilize a wide variety of machine learning techniques, programming, and domain knowledge to develop predictive and prescriptive solutions to business problems.

What you’ll do

The role responsibilities include:

• Collecting and cleaning data from various sources: working with large and complex datasets and using programming languages such as Python or R to clean and process the data, ready for analysis.
• Analyzing and interpreting data: Using statistical techniques and machine learning algorithms to identify trends, patterns, and insights in the data.
• Building predictive models: Creating mathematical models that use historical data to forecast future trends and behaviors.
• Communicating findings: Presenting findings and recommendations to stakeholders in a clear, compelling, and actionable manner.
• Continuously monitoring and updating models: Continuously monitoring the performance of models, updating them as necessary, and finding new ways to improve their accuracy.
• Collaborating with other teams in Customer Solutions and Worley: Working with other teams within the organization, such as sales and marketing, Solutions Factory (DevOps and data systems), PMO, and project teams. Understand customers’ challenges, agree proposals, and deploy solutions.
• Staying current on industry developments: Continuously learning and staying informed of new technologies and trends in the field of data science to ensure that UIS is utilizing the most effective techniques and tools.
• R&D/Product Development: Developing new commercial data science offerings, addressing industry needs that Worley can take to market.
• Best practice: Establish governance, processes, systems, and code libraries that ensure consistent high standards of quality across the team.
• Management: coaching and line-management responsibilities subject to experience and team structure.

What you’ll have

• Undergraduate/Masters degree in STEM or other numerate subjects. Plus 3 or more years relevant working experience. OR
• PhD in a relevant field (Machine Learning, Industrial Analytics etc) plus one year commercial experience.

Why you should apply

• Leading global provider of professional project & asset services in energy, chemicals & resources.
• We deliver the world’s most complex projects.
• Join a high-performing team.
• Join a fun and inclusive, global team of professionals.
• Opportunities to progress beyond this role.

Moving forward together

We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection, and innovation.

We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.

And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.

Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Ready to join us? Apply now to submit your CV