Company: Advisian
Primary LocationJobJob : Digital Platforms & Data Science
ScheduleSchedule : Full-time
Employment Type: Employee
Job Level: Experienced
Job PostingJob Posting : Oct 15, 2024
Unposting DateUnposting Date : Feb 27, 2025
Reporting Manager Title: Senior Director, Digital Solutions
About the job
We're looking for aData Scientist IIto join ourMalaysiateam.
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 aData 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.
Who we are
Worley is a global professional services company of energy, chemicals, and resources experts headquartered in Australia.
Right now, we're bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals, and resources that society needs now.
We partner with our customers to deliver projects and create value over the life of their portfolio of assets.
We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation.
Join us and help drive innovation and sustainability in our projects.
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.
Machine Learning: Skilled at building predictive models to solve a wide range of problem types, choosing the right approach(es) to maximize performance.
Seeks constantly to broaden repertoire of ML approaches used.
Able to work in a variety of machine learning applications and coding libraries.
Analytical Knowledge: Design an analytical project incorporating the right approaches and datasets to solve a given problem.
Applied Analysis and Insight: Draw on domain expertise to choose the most appropriate analytical approach.
Technical: Write code to access and process diverse data types from a range of on-prem and cloud sources.
Softer Skills: Spend time with customers to fully understand the challenges and the nuances of their organization and data.
What you'll have
Undergraduate/Master's 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.#J-18808-Ljbffr