Skip to content
Shell logo

Shell

Chennai · On-site

Data Scientist

Full-timePosted
Salary
Not disclosed
Experience
6–8 years
Eligible batches
2020
Degree
Bachelor's, Master's
Location
ChennaiOn-site
Apply by
19 Nov 2026

About the role

Shell’s Commercial Data Science team is looking for a Data Scientist to join the Digital Process Twin Centre of Excellence in Chennai. You will work on process‑mining, optimisation and AI/ML projects that turn event‑level data into actionable insights, helping the business improve efficiency and predict performance.

Responsibilities

  • Design, develop and deploy machine‑learning and optimisation models that analyse process event data.
  • Apply process‑mining techniques to uncover patterns, root causes and improvement opportunities.
  • Build and maintain data pipelines that ingest information from systems such as SAP, Salesforce and ServiceNow.
  • Collaborate with senior data scientists, data engineers and software developers to embed models into Shell’s real‑time analytics platform.
  • Implement MLOps and DevOps practices using GitHub, CI/CD pipelines, Docker and MLflow for model lifecycle management.
  • Contribute to research, evaluate emerging tools and ensure responsible, explainable AI is embedded in all solutions.

Free interview prep

Prepare for the interview

All lists
Machine learning interview questions40 questions · ≈ 18 min to revise

Eligibility

  • 6–8 years of professional experience in data science, with at least 2 years focused on process‑event data.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics or a related quantitative discipline.
  • Proven ability to take analytical solutions from concept through production deployment.

Skills

  • Strong programming in Python and SQL.
  • Hands‑on experience with process‑mining platforms (e.g., Celonis EMS, PM4Py, ProM).
  • Expertise in machine‑learning, statistical modelling and optimisation algorithms.
  • Familiarity with MLOps/DevOps tools such as GitHub, CI/CD, Docker and MLflow.
  • Knowledge of cloud environments (Azure, AWS, GCP) and big‑data frameworks like Spark or Databricks.

Resume keywords

Asked for

  • Python
  • SQL
  • Process-mining
  • Machine-learning
  • Optimization
  • MLOps
  • Docker
  • Git
  • Spark
  • AWS

Nice to have

  • Azure
  • GCP
  • Databricks
  • Mlflow
  • CI/CD
Tailor my resume with these

Benefits

  • Opportunity to work on cutting‑edge process‑intelligence projects within a global energy leader.
  • Access to continuous learning, training programmes and diverse career paths.
  • Inclusive, values‑driven culture that supports personal growth and work‑life balance.
  • Collaboration with experts across engineering, digital, and research domains.
Apply now

You'll apply on shell.wd3.myworkdayjobs.com

Find a referralPeople at Shell on LinkedIn

Apply link checked by CareersAt.Tech and re-tested nightly. You never pay to apply. Report listing

About Shell

Shell plc is a British multinational oil and gas company headquartered in London, United Kingdom and is one of the world's largest energy companies, with operations spanning upstream, integrated gas, downstream, and renewables and energy solutions.

Founded 1907 · 5000+ employees · HQ London, United Kingdom

More about Shell

Similar roles

More AI / ML jobs