Data Science Intern

Ecolab’s interview process typically spans three rounds. The first is an online assessment focusing on quantitative aptitude and basic coding. The second round is a technical interview where candidates solve ML case studies, discuss model selection, and write Python code on a shared editor. The final HR round evaluates cultural fit, communication skills and alignment with Ecolab’s sustainability values. Preparation should include strong fundamentals in statistics, hands‑on Python projects, and clear articulation of past data‑science experiences.

Ecolab promotes a collaborative, inclusive culture where employees are encouraged to innovate and grow. The company offers structured learning paths, mentorship and a healthy work‑life balance, with flexibility for remote or hybrid work where applicable.

Final year B.Tech/B.E. or M.Tech in Computer Science, Data Science, Statistics, Electrical/Electronics or related streams; minimum 6.5 CGPA (or 70% for non‑CGPA systems); no active backlogs; graduation batch 2024‑2026; strong academic record in mathematics, statistics and programming.

Round 1: Online aptitude & coding test → Round 2: Technical interview (ML concepts, case studies, coding) → Round 3: HR interview (behavioral, fit, Ecolab values)

Ecolab is a world‑leading provider of water, hygiene and energy technologies and services. With a presence in more than 130 countries, the company helps customers in food, beverage, healthcare, hospitality and industrial sectors improve safety, reduce waste and achieve sustainability goals. Ecolab’s culture is built around inclusion, continuous learning and a strong sense of purpose – employees are encouraged to innovate, collaborate and make a tangible impact on the environment and society. The firm’s 2030 Impact Goals focus on climate action, water stewardship and safe food, positioning it as a forward‑thinking employer for technology‑driven talent. The Data Science Intern role sits within the AIM (Artificial Intelligence & Machine Learning) portfolio, specifically tasked with accelerating AI adoption across Ecolab’s Global Integrated Customer (EGIC) platform. Interns will work on real‑world projects that blend data engineering, statistical modeling and product development, directly influencing how Ecolab’s solutions are delivered to customers. This is an excellent opportunity for fresh graduates to experience end‑to‑end data science workflows in a multinational environment. Key responsibilities include: 1. Collecting, cleaning and preprocessing large datasets from manufacturing, supply‑chain and field‑service sources. 2. Conducting exploratory data analysis to uncover patterns that drive product‑launch decisions. 3. Building and validating predictive models (regression, classification, time‑series) to forecast equipment failures, water‑usage trends and customer demand. 4. Developing interactive dashboards and visualisations using tools such as PowerBI or Tableau for senior stakeholders. 5. Collaborating with cross‑functional teams – product managers, engineers and sustainability experts – to translate model insights into actionable recommendations. 6. Assisting in the deployment of machine‑learning pipelines on cloud platforms (AWS/GCP) and monitoring model performance post‑deployment. 7. Documenting methodology, code and results to ensure reproducibility and knowledge sharing. 8. Participating in weekly sprint meetings, presenting findings and iterating based on feedback. 9. Staying updated with the latest AI research and proposing innovative solutions that align with Ecolab’s sustainability objectives. 10. Supporting the creation of technical white‑papers or internal case studies that showcase the impact of AI initiatives. The tech stack primarily includes Python (pandas, scikit‑learn, TensorFlow/PyTorch), SQL, cloud services (AWS S3, Lambda), and data‑visualisation libraries (Matplotlib, Seaborn, Plotly). Interns will gain exposure to MLOps practices, version control (Git) and agile project management. Growth path: high‑performing interns may be offered a full‑time Data Analyst or Data Scientist position, with clear career ladders toward senior data science, product ownership or AI‑strategy roles. Ecolab invests heavily in employee development through mentorship programs, internal training platforms and sponsorship for certifications. Why join Ecolab? You will work on purpose‑driven projects that protect water resources and improve food safety, receive mentorship from industry experts, and enjoy a supportive, inclusive environment that values diversity and work‑life balance. The internship offers a competitive stipend, flexible working hours and the chance to contribute to global sustainability initiatives from day one.