Data Scientist- Air Quality

Job Description

We are seeking a talented Data Scientist with competency in Data Engineering capabilities to design, build, and deploy some advanced analytical solutions across a range of environmental sectors. This role is ideal for a professional who can develop machine learning models, support the engineering of robust data pipelines, and contribute to the broader technical architecture.

The successful candidate will be able to apply analytical techniques, work with complex and large-scale datasets, collaborate with cross-functional teams, and support the development of high-quality data infrastructure enabling reliable, scalable data-driven decision-making.

Responsibilities

Data Science & Advanced Analytics

• 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.
• 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.
  
  

Data Engineering & Pipeline Development

• 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).
• Provision, administer, and optimise relational databases, including schema design, indexing, and access management.
• Build high-performance APIs using frameworks such as FastAPI or Flask, following best RESTful design practices.
  
  

Software Engineering and DevOps Integration

• Develop modular, maintainable, object-oriented Python code using best practice design patterns and testing practices (CI/CD, unit tests, code reviews).
• Containerise and deploy applications using Docker and Kubernetes; support infrastructure provisioning through Infrastructure-as-Code tools (e.g., Terraform, Ansible).
• Contribute to system architecture discussions, microservices design, and integration with cloud platforms notably Azure.
  
  

Collaboration and Leadership

• Work collaboratively across technical and non-technical teams to embed data-driven decision-making.
• Support large-scale analytical or data engineering projects, adherence to best practices in code quality, reproducibility, and documentation.
• Shape AI use cases with internal stakeholders and, where needed, client counterparts (problem framing, value hypothesis, data readiness, and delivery roadmap), and communicate trade-offs clearly.
  
  

Essential Technical Skills And Experience

• 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.
• Experience deploying models and data pipelines into production environments.
• Good understanding of data modelling, APIs, and software engineering best practices.
  
  

Professional Competencies

• Strong problem-solving ability, capable of resolving ambiguous or complex analytical challenges.
• Ability to communicate complex technical topics clearly to diverse stakeholders.
• Advocates for high-quality software development practices.
• Comfortable mentoring team members and leading aspects of project delivery.
• Ability to collaborate with cross-functional teams.
  
  

Desirable Skills

• Experience with microservice architectures.
• Knowledge of cloud cost optimisation and resource management.
• Ability to configure and interpret monitoring and alerting systems.
• Familiarity with data ethics, governance, and privacy best practices.
• Some background in developing LLM, generative AI and Responsible AI based solutions
  
  

Qualifications

• 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.
  
  

BGV:

• Employment with WSP India is subject to the successful completion of a background verification (BGV) check conducted by a third-party agency appointed by WSP India.
• Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner.
  
  

About Us


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. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.

With approximately 4,000 talented people across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than 73,000 globally, in 550 offices across 40 countries, we engineer projects that will help societies grow for lifetimes to come.

At WSP we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: Our People, Our Clients, Our Operational Excellence and Our Expertise.

www.wsp.com

We are

• Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
• A collaborative team that thrives on challenges and unconventional thinking.
• 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.


Working with Us

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 Hybrid Working Module

With us, you can operate in 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 efficiency.
  
  

Health, Safety and Wellbeing


Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our Making Health and Safety Personal initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.

Inclusivity and Diversity

WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.

Imagine a better future for you and a better future for us all.

Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.

With us, you can.

Apply today.

NOTICE TO THIRD PARTY AGENCIES:

WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.