Data Scientist- Air Quality

About the Role

This Data Scientist- Air Quality role at WSP in India involves designing, building, and deploying advanced analytical solutions across various environmental sectors. You will develop machine learning models, support data pipeline engineering, and contribute to the technical architecture. Your work will focus on applying analytical techniques to complex datasets, collaborating with cross-functional teams, and ensuring high-quality data infrastructure for reliable decision-making.

Key Responsibilities

• Build, validate, and deploy sophisticated predictive and statistical models using modern Python-based libraries.
• Conduct exploratory data analysis, statistical modelling, hypothesis testing, and insight generation to support strategic business decisions.
• Develop high-quality, interpretable data visualisations using Matplotlib, Seaborn, and similar tools.
• Translate complex analytical outcomes into clear, actionable insights for both technical and non-technical stakeholders.
• Design and implement robust, scalable data orchestration pipelines using tools such as Airflow or Dagster.
• Work with big data technologies (Spark, Hadoop, Dask) to process and analyse large-scale datasets efficiently.
• Define and implement data models using ER diagrams, normalisation techniques (e.g., star schema, Snowflake), and modern ORM frameworks (e.g., SQLAlchemy).

Skills & Qualifications

• Python programming expertise, including functions, classes, modules, packages, and advanced OOP features.
• Solid statistical knowledge (degree-level or equivalent).
• Demonstrable experience in machine learning model development and evaluation.
• Proficiency with relational databases and database design.
• Experience designing and maintaining data pipelines and big-data processing workflows.
• Familiarity with containerisation, Kubernetes, CI/CD, and cloud infrastructure.
• Bachelor's/master's degree in a quantitative field (e.g., Mathematics, Computer Science, Engineering, Economics, Data Science) or equivalent industry experience.

What You'll Learn

In this role, you will gain hands-on experience with advanced data science and engineering techniques, including machine learning model development, data pipeline engineering, and big data processing. You will also learn about cloud infrastructure, containerisation, and CI/CD practices. This role offers a unique opportunity to work on complex environmental projects and contribute to the development of high-quality data infrastructure.

Resume Tip

When applying for this role, make sure to highlight your experience with Python, machine learning, and data engineering. Emphasise your ability to work with complex datasets, collaborate with cross-functional teams, and communicate technical results to non-technical stakeholders. Use specific examples from your past projects to demonstrate your skills and experience.