Data Scientist- Air Quality

About the Role

This Data Scientist role is a fantastic opportunity for a fresher to dive into the world of data engineering and advanced analytics. As a Data Scientist at WSP in India, you will be responsible for designing, building, and deploying sophisticated analytical solutions across various environmental sectors. Your day-to-day tasks will involve developing machine learning models, supporting the engineering of robust data pipelines, and collaborating with cross-functional teams to drive data-driven decision-making.

Key Responsibilities

• Design and implement robust data orchestration pipelines using tools such as Airflow or Dagster.
• Develop high-quality, interpretable data visualisations using Matplotlib, Seaborn, and similar tools.
• Build, validate, and deploy sophisticated predictive and statistical models using modern Python-based libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Conduct exploratory data analysis, statistical modelling, hypothesis testing, and insight generation to support strategic business decisions.
• Translate complex analytical outcomes into clear, actionable insights for both technical and non-technical stakeholders.
• Work with big data technologies (Spark, Hadoop, Dask) to process and analyse large-scale datasets efficiently.
• Provision, administer, and optimise relational databases, including schema design, indexing, and access management.

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.
• Evidence of continued professional development in data science, data engineering, or cloud technologies.

What You'll Learn

In this role, you will have the opportunity to learn and grow in various areas, including data engineering, advanced analytics, and software engineering. You will work with a talented team of professionals who will guide and support you in your career development. Additionally, you will have the chance to work on complex 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 data engineering and advanced analytics. Emphasize your skills in machine learning model development, data pipeline design, and big-data processing workflows. Also, be sure to mention any relevant certifications or training programs you have completed in data science, data engineering, or cloud technologies.

About WSP

WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals.

Why Join WSP?

At WSP, you can access our global scale, contribute to landmark projects, and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.

Our Values

Our values are at the heart of everything we do. We are passionate people doing purposeful and sustainable work that helps shape our communities and the future. We are a collaborative team that thrives on challenges and unconventional thinking. We are a network of experts channeling our curiosity into creating solutions for complex issues. Inspired by diversity, driven by inclusion, we work with passion and purpose.

Hybrid Working Model

We offer a flexible, agile, yet structured work environment and follow a Hybrid Work Model. Maximize collaboration. Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficie