Lead Data Scientist

Shell; Chennai District; Hybrid; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid work arrangements

Parental leave

Job summary

Shell Trading & Supply (T&S) is seeking a seasoned Lead Data Scientist to design and deliver AI‑driven credit risk analytics addressing evolving compliance and portfolio risk. You will own end‑to‑end analytics products from concept to deployment, with a focus on exposure trends, concentrations, and risk indicators.

You will collaborate with Risk, IT, and Commercial teams, champion AI adoption, and ensure governance, explainability, and robust data quality across global operations.

Qualifications

• 5+ years overall experience with at least 3+ years in AI/ML.
• Proven ability to scale analytics across global operations.
• Strong data engineering fundamentals and ETL experience.

Responsibilities

• Design and deliver AI-driven credit risk analytics and portfolio insights.
• Build predictive models, run scenario analyses, and early-warning indicators.
• Translate AI models into business impact with governance and explainability.
• Develop end-to-end analytics products including data pipelines and dashboards.
• Ensure data quality, documentation, and governance for tools and models.
• Deliver timely production reporting and support risk transformation projects.

Skills

AI/ML

Python

SQL

Data visualization

Databricks

Excel

Model governance

Education

Finance/Math degree

Tools

Databricks

QlikView

SQL

Job description

Where you fit in?

Shell Trading & Supply (T&S) is one of the world’s largest and most sophisticated energy trading organisations. Shell T&S integrates global trading, shipping, and supply chain operations to optimise the flow of energy products across markets. Our portfolio spans crude oil, refined products, liquefied natural gas (LNG), biofuels, power, and environmental products, enabling Shell to meet diverse customer needs while driving the energy transition.

Where you fit in?

Shell Trading & Supply (T&S) is one of the world’s largest and most sophisticated energy trading organisations. Shell T&S integrates global trading, shipping, and supply chain operations to optimise the flow of energy products across markets. Our portfolio spans crude oil, refined products, liquefied natural gas (LNG), biofuels, power, and environmental products, enabling Shell to meet diverse customer needs while driving the energy transition.

With major hubs in London, Houston, Singapore, Rotterdam, and Dubai, T&S combines cutting‑edge market analytics, risk management, and supply optimisation to create value for Shell and its partners. Our mission is to power progress responsibly delivering competitive energy solutions today while innovating for a low‑carbon future.

The Lead Data Scientist team plays a critical role in safeguarding Shell’s financial resilience by delivering high‑quality credit risk reporting and portfolio analytics. Our mandate spans regular and ad hoc reporting, deep‑dive portfolio analysis, and the provision of validated risk data for external financial disclosures. Serving key stakeholders - including risk management, the T&S Leadership Team, and the Executive Committee -the CDA team ensures timely, accurate, and actionable insights that enable informed decision‑making and proactive risk management. By leveraging advanced analytics and fostering collaboration across functions, the CDA team supports Shell’s strategic objectives and strengthens its reputation for robust risk governance.

We are looking for a seasoned Lead Data Scientist to strengthen our team. In this role, you will design and deliver advanced credit risk analytics solutions that address evolving compliance and portfolio risk challenges, while providing greater insights into exposure trends, concentrations, and emerging risks. You will combine strong technical expertise with commercial acumen to own end‑to‑end analytics products - from concept to deployment - ensuring they deliver measurable business impact.

What’s The Role

• Design and implement AI-driven analytics to enhance credit risk reporting and portfolio insights across T&S.
• Leverage advanced analytics to build predictive models, run scenario analyses, and create early‑warning indicators.
• Champion AI adoption through training, stakeholder engagement, and change management across Credit, Commercial, and Risk teams.
• Translate complex AI models into clear business impact, ensuring compliance and explainability.
• Conduct pre- and post-deal credit risk analytics, including portfolio analysis, ECL, CVA, reserves, and cost of credit.
• Build advanced dashboards and visualisations integrating AI outputs for decision‑making.
• Own end‑to‑end analytics products, including data pipelines, dashboards, and lifecycle management.
• Ensure governance and documentation for tools and models, maintaining data quality and controls.
• Drive continuous innovation by embedding automation and advanced analytics into global credit risk processes.
• Deliver accurate, timely production reporting and support transformation projects and ad‑hoc requests.

What You Bring

• Minimum of 5+ years overall working experience, with an at least 3+ years of relevant working experience in AI and Machine Learning.
• Self‑starter with a learner mindset, highly motivated, innovative, and outcome driven.
• Exposure to conceptual, quantitative, and data challenges in complex trading environments with multiple ETRMs and diverse data sources.
• Experienced in data engineering fundamentals, including data modelling, ETL processes, and working with relational databases.
• Degree in Finance, Mathematics, or related field.
• Professional certifications such as GARP FRM, ERP or RAI
• Experience in scaling advanced analytics and AI solutions across global operations
• Strong expertise in advanced analytics and AI, predictive modelling, scenario analysis, and optimisation for credit risk.
• Ability to design and deploy AI-driven analytics solutions, integrating models into business workflows and promoting AI adoption across the organisation.
• Proficiency in Python, SQL, and experience with advanced Excel. Familiarity with AI/ML frameworks and tools like databricks.
• Skilled in data visualisation e.g. QlikView, or similar data visualization platforms.
• Understanding of model governance, including explainability principles, data quality best practices, and awareness of regulatory considerations.
• Strong analytical and problem‑solving skills with the ability to interpret complex data and deliver actionable insights.
• Excellent attention to detail, organised, methodical, and able to prioritise tasks under pressure to meet deadlines.
• Effective interpersonal and communication skills to collaborate with stakeholders across Risk, IT, and Commercial teams.

What We Offer

You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.

• Opportunity to thrive collectively by advancing the energy transition.
• Continuously grow the transferable skills you need to get ahead.
• Work at the forefront of technology, trends, and practices.
• Collaborate with experienced colleagues with unique expertise.
• Find your balance in a values-driven culture that supports your growth.
• Benefit from flexible working hours, and hybrid work arrangements.
• Perform at your best with a competitive starting salary and annual performance related salary increase – our pay and benefits packages are considered to be among the best in the world.
• Take advantage of paid parental leave, including for non-birthing parents.
• Join an organization to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
• Grow as you progress through diverse career opportunities in national and international teams.
• Gain access to a wide range of training and development programs.