Data Associate

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That’s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years’ experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers’ decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.

WoodMac.com

Wood Mackenzie Brand Video

Wood Mackenzie Values

• Inclusive – we succeed together
• Trusting – we choose to trust each other
• Customer committed – we put customers at the heart of our decisions
• Future Focused – we accelerate change
• Curious – we turn knowledge into action

Do you have a passion for data? Are you a problem-solver with an ability to quickly understand complex processes? Do you continually seek and find meaningful patterns in data? Then this role could be for you. We are looking for a Data Scientist - someone with a data focus, mathematical mindset, and collaborative project experience. This role will support advanced analytics projects within both new and existing business workflows, working alongside expert data professionals and business unit SMEs to deliver new insight and analytics to our clients. The candidate should be able to commute to one of our offices in Gurugram, Delhi.

About the role

This role will form part of the Power & Renewables Data and Analytics’ team, and will work closely with engineers, SMEs, and other stakeholders throughout the Power & Renewables organization. The success of this role will require collaborative development & problem solving.

Key Unique Selling Points

• we work on a wide variety of interesting and challenging problems in power
• we believe in supporting personal development
• we work on projects that are expected to have a quantifiable meaningful impact on the business

Key Responsibilities

• develop and / or use various algorithms to build predictive models
• collaboratively perform analyses of structured and unstructured data to solve multiple complex business problems using advanced statistical and mathematics techniques
• use knowledge in algorithms and predictive models to investigate problems, detect patterns, and recommend solutions
• use programming & data engineering skills to explore, examine, prepare, and interpret large volumes of data in various forms
• design, prototype, and productize data sets that are used for advanced analytics

About you and how you can excel in this role

The person that fills this role must be a self-starter who is energized by a challenge, passionate about using analytics to extract strategic value from data, and thrives on innovation.

Knowledge and Experience

Required data science / machine learning stack:

• Languages / packages: Python, SQL, pandas, NumPy, scikit-learn, PyTorch / TensorFlow / Keras, Plotly / Matplotlib, Jupyter
• Algorithms: Classification, Regression, Clustering, Neural Networks, Time Series, Ensemble Models, Feature Selection & Extraction, Mathematical Optimization, etc.
• Visualization: Spotfire / Power BI / Tableau / similar
• Version control: Git

We are looking for someone with:

• degree in statistics, computer science, applied mathematics, or a related field
• hands-on familiarity with data science topics:
• mathematical, computational, statistical modeling techniques, neural networks
• data manipulation, analysis, and visualization techniques
• hands-on modeling experience building machine learning models
• familiarity with collaborative development using agile-like methodology

Nice-to-have:

• 6-12 months professional experience as a data scientist / data engineer / machine learning engineer
• DEVOPS – CI/CD
• cloud computing environments – AWS / GCP / Azure / etc.

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov 

If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.