Building on our past. Ready for the future

Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.

The Role

As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc….

·       Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks

·       Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods

·       Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class.

·       Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations

·       Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations

IT Skills & Experience:

·       Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team.

·       Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning

·       Knowledge of MLOps process for efficient management of the AI/ML projects.

·       Must have lead project execution with other data scientists/ engineers for large and complex data sets

·     Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests.

• Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc
• Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture
• Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50.

·       Demonstrated capability using RNNS for text, speech data, generative models

·       Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models

·       Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc.

·       Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data

People Skills:

·       Professional and open communication to all internal and external interfaces.

·       Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture

·       Strong analytical skills.

Industry Specific Experience:

·       10 -18 Years of experience of AI/ML  project execution and AI/ML research  

Education – Qualifications, Accreditation, Training:

·       Master or Doctroate  degree  Computer Science Engineering/Information Technology /Artificial Intelligence

Moving forward together

We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.

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.

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.