About Woodside Energy
We are a global energy company, providing reliable and affordable energy to help people lead better lives. Join our team at Woodside Global Solutions in Bengaluru where talent, digital expertise, and operational excellence converge to solve complex energy challenges, accelerate change, and reimagine business capabilities to support Woodside's global operations and our role in the energy transition.
Founded in 1954, Woodside established the liquefied natural gas (LNG) industry in Australia 40 years ago and supplies customers around the globe. 70 years on, Woodside continues to be driven by a spirit of innovation and determination.
At Woodside, we know great results come from our people feeling valued, getting the support they need to reach their full potential and working in a psychologically and physically safe work environment. We believe in nurturing talent and providing opportunities for continuous learning and career advancement.
Refer to our corporate website for more information about our different locations and projects: What We Do - -Link: What we do - Woodside Energy
About Woodside Global Solutions
Woodside Global Solutions in Bengaluru is being built as a hub of excellence, to drive innovation, digital transformation, and global collaboration.
Working as one Global team, the Woodside Digital team is a trusted partner driving transformation within the organisation. We are bold in our ambitions and resolute in our actions. Through cutting-edge AI, robust cyber security, and advanced data solutions we drive innovation and influence every part of our business.
We are looking for talented professionals who are passionate about technology and eager to make a global impact, helping to shape the future of Woodside together.
About the role
The Senior Data Scientist at Woodside applies domain expertise, scientific acumen, mathematical and statistical proficiency, as well as computing and programming skills to unlock insights from complex datasets to deliver high-impact analytical and machine learning solutions that improve decision-making, optimise operational performance, and drive innovation across the oil and gas value chain. The Senior Data Scientist applies their expertise in scientific methodologies, mathematical modelling, statistical analysis, machine learning (including time-series analytics, anomaly detection, optimisation, computer vision, and neural networks), and computational skills to optimize operations and drive strategic initiatives.
The role is crucial in harnessing the power of data to drive efficiency, innovation, and strategic decision-making in the dynamic and data-rich environment of the oil and gas industry.
Duties & Responsibilities:
- Collaborate with business users, internal stakeholders and Digital teams to apply data science techniques to deliver value across the oil and gas value chain, understanding and shape client requirements, and translating them into Data Science actions
- Translate business questions into analytical problem definitions, assessing feasibility, assumptions, data requirements, and solution pathways.
- Lead end-to-end delivery of data science projects—from problem framing and data exploration through modelling, deployment, and handover.
- Conduct advanced exploratory data analysis, feature engineering, hypothesis testing, and model validation. Evaluate and apply data science concepts and techniques (e.g. predictive modelling, statistical inference, algorithms) to problems in oil and gas exploration and production domains
- Develop and enhance ML models including time-series forecasting, anomaly detection, clustering, classification, regression, OCR/computer vision, and neural networks.
- Utilizing machine learning, artificial intelligence, and data visualization techniques to identify trends, patterns, and anomalies in oil and gas data.
- Apply rigorous statistical and scientific techniques to ensure model robustness, reproducibility, and interpretability.
- Build and deploy ML solutions using AWS services (S3, Lambda, SageMaker, ECS) and data science platforms (Posit/RStudio, JupyterHub).
- Develop applications and APIs (Dash, Streamlit, Flask/FastAPI/Django) to operationalise models and integrate solutions with enterprise systems.
- Monitor and maintain deployed models, ensuring accuracy, reliability, and long-term performance.
- Work with large and complex datasets from operational, engineering, IoT, and cloud-native sources while ensuring data security, governance, and compliance.
- Communicate analytical findings, assumptions, limitations, and recommendations clearly to technical and non-technical audiences, including senior leaders.
- Produce high-quality documentation to support reproducibility, governance, and knowledge transfer.
- Create documentation, develop and improve data science processes and best practices to ensure the sustainability of work.
- Mentor and support junior data scientists through technical guidance, code reviews, and project coaching.
Skills & Experience:
- Min. 5-year proven hands-on practical experience in Data Science, with machine learning (OCR, CV, DNN) and AI methods
- Experience across the full end-to-end process of data science delivery
- Experience with software engineering best practices (e.g. CI/CD principles under Agile Framework, version control, reproducible research, etc.)
- Expert capability in time-series modelling, anomaly detection, clustering, and predictive modelling.
- Familiarity with optimisation, simulation, or scientific modelling frameworks.
- Experience in oil and gas industry and/or the resources sector
- Strong proficiency in Python, including Pandas, NumPy, SciPy, scikit-learn, and at least one deep learning framework (PyTorch or TensorFlow).
- Experience building and deploying analytical or ML applications (Dash, Streamlit, APIs).
- Strong exposure to AWS cloud environments—S3, Lambda, ECS, SageMaker, IAM, serverless computing.
- Strong communication skills, with a track record of presenting insights to business leaders.
- Tertiary qualification in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a similar quantitative discipline.
- Experience with project management and prioritization
- Ability to influence business decisions through data
- Strong written and verbal communication
If you think you can do this job but don’t meet all the criteria, that’s OK! Please apply. At Woodside, we value people with diverse experiences and backgrounds, as they provide unique perspectives that help us innovate.
Recognition & Reward:
What you can expect from us:
- Commitment to your ongoing development, including on the job opportunities and formal programs
- Inclusive parental leave entitlements for both parents
- Values led culture
- Flexible work options
- Generous annual leave, sick leave and casual leave
- Cultural and religious leave with flexible public holiday opportunities
- A competitive remuneration package featuring performance-based incentives with uncapped Employer Provident Fund
Woodside is committed to fostering an inclusive and diverse workforce culture, which is supported by our Values. Inclusion centers on all employees creating a climate of trust and belonging, where people feel comfortable to bring their whole self to work. We also offer supportive pathways for all employees to grow and develop leadership skills.
