Level 3 Data Scientist

Woodside Energy India; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible work options

Generous leave and benefits

Parental leave

Job summary

Woodside Global Solutions in Bengaluru seeks a Data Scientist to turn complex datasets into actionable insights across the oil and gas value chain. You will apply time-series analysis, ML, and AI techniques to optimise operations and drive strategic initiatives.

You will work with diverse business problems, collaborate with SMEs, and contribute to data science tooling, frameworks, and delivery practices while ensuring training and knowledge transfer to stakeholders.

Qualifications

• Min. 3-year proven practical experience in Data Science across the end-to-end model development lifecycle, with machine learning and AI methods.
• Strong Python programming skills and experience with ML libraries (Pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow).
• Demonstrated expertise in time-series analysis, anomaly detection, clustering, and general applied machine learning.
• Experience developing web applications (Dash, Streamlit) and APIs (Flask, FastAPI, or Django).
• Experience with CI/CD under Agile, version control, and reproducible research practices.
• Desirable cloud experience (AWS, MS Azure) and AWS services (S3, Lambda, SageMaker).
• Strong documentation, communication, and collaboration capabilities.
• Quantitative analytics.

Responsibilities

• Collaborate with business users and Digital teams to apply data science techniques across the value chain.
• Contribute to end-to-end data science projects from problem identification to delivery.
• Evaluate and apply data science concepts to oil and gas domains.
• Communicate assumptions, uncertainties, and findings to business audiences.
• Utilize ML, AI, and data visualization to identify trends and anomalies.
• Validate models using statistical methods for robustness and interpretability.
• Develop predictive models, time-series forecasts, anomaly pipelines, clustering, and OCR/NN models as needed.
• Collaborate with SMEs on modelling processes for high-impact problems.
• Create documentation and improve data science processes and practices.
• Support successful implementation with training and handover.
• Deliver end-to-end data science solutions from opportunity to handover.

Skills

Python programming

ML libraries

Time-series analysis

Anomaly detection

Clustering

Web apps (Dash/Streamlit)

APIs (Flask/FastAPI/Django)

CI/CD

Cloud (AWS)

Documentation

Tools

Pandas

NumPy

SciPy

scikit-learn

PyTorch/TensorFlow

SageMaker

Job description

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 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 and delivering high-impact analytical solutions that enhance decision-making, optimise operations, and unlock value across the oil and gas value chain. The Data Scientist applies their expertise in scientific methodologies, mathematical modelling, statistical analysis, and computational skills to optimize operations and drive strategic initiatives.

The role applies scientific reasoning, statistical modelling, machine learning, and software engineering skills to turn complex datasets into actionable insights.

The Data Scientist will work across diverse business problems—ranging from time-series analytics and anomaly detection to optimisation, simulation, computer vision and applied machine learning—while contributing to the uplift of data science tools, frameworks, and delivery practices.

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
• Contribute to data-driven data science project from end-to-end (i.e. problem identification to delivery)
• 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
• Communicate key assumptions, uncertainties, findings of statistical or technical analysis through reports, presentations and translate results back into business language
• Utilizing machine learning, artificial intelligence, and data visualization techniques to identify trends, patterns, and anomalies in oil and gas data.
• Validate models using statistical and scientific methodologies, ensuring robustness, reproducibility, and interpretability.
• Develop predictive models, time-series forecasting methods, anomaly detection pipelines, clustering algorithms, and OCR or neural-network models as required.
• Collaborate with SMEs on analysis and modelling processes to solve challenging and high-impact problems in oil and gas exploration and production domains
• Create documentation, develop and improve data science processes and best practices to ensure the sustainability of work.
• Contribute to successful implementation of solutions, ensuring training and knowledge transfer to stakeholders
• Deliver data science solutions from opportunity identification through to handover, including planning, experimentation, implementation, and monitoring.

Skills & Experience:

• Min. 3-year proven practical experience in Data Science across the end-to-end model development lifecycle, with machine learning and AI methods
• Strong Python programming skills and experience with ML libraries (Pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow).
• Demonstrated expertise in time-series analysis, anomaly detection, clustering, and general applied machine learning.
• Experience developing web applications (Dash, Streamlit) and APIs (Flask, FastAPI, or Django).
• Experience with software engineering best practices (e.g. CI/CD principles under Agile Framework, version control, reproducible research, etc.)
• Desirable experience being part of a multi-disciplinary team for Digital solution delivery or Experience with Cloud Technologies (AWS, MS Azure)
• Strong competency using AWS cloud services, including S3, Lambda, SageMaker, containerisation, and serverless execution.
• Strong documentation, communication, and collaboration capabilities.
• Strong problem-solving and critical thinking skills
• Excellent documentation skills to ensure the sustainability of work.
• Quantitative analytics.

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.