Senior Credit Data Scientist

Senior Credit Data Scientist

Full-Time 48000 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design AI-driven analytics for credit risk reporting and portfolio insights.
  • Company: Join Shell, a leader in energy trading and innovation.
  • Benefits: Flexible working hours, competitive salary, and extensive training opportunities.
  • Why this job: Make a real impact on the energy transition while advancing your career.
  • Qualifications: Experience in advanced analytics, AI, and credit risk is essential.
  • Other info: Diverse and inclusive workplace with global career growth potential.

The predicted salary is between 48000 - 72000 ÂŁ per year.

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 Credit Data & Analytics (CDA) 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 Senior Credit Data Scientist to strengthen our Credit Data & Analytics 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

  • Self‑starter with a learner mindset, highly motivated, innovative, and outcome driven.
  • 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 visualisation 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.

Preferred Qualifications, Capabilities And Skills

  • Prior credit risk experience within commodity markets (LNG, Oil, Gas, Power, Carbon).
  • 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.

After you submit your application, you will receive an email from Shell providing a link to an online assessment (HireVue) that is a mandatory part of the process and has a validity period – please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell.

What we offer

  • 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.
  • Grow as you progress through diverse career opportunities in national and international teams.
  • Gain access to a wide range of training and development programs.

We’d like you to know that Shell has a bold goal: to become one of the world’s most diverse and inclusive companies. We are committed to attracting a broader and more diverse pool of candidates. If this position doesn’t feel like the perfect fit for your qualifications right now, we’d still love to hear from you. Consider creating a profile in our Talent Community so we can keep you in mind for future opportunities that may align with your skills. Shell is an Equal Opportunity Employer.

Senior Credit Data Scientist employer: Shell Business Operations

At Shell Trading & Supply, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our extensive training programmes and diverse career opportunities, allowing you to thrive in a values-driven environment. With flexible working arrangements and a competitive benefits package, including paid parental leave and a focus on diversity and inclusion, we empower our employees to balance their professional and personal lives while contributing to the energy transition.
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Contact Detail:

Shell Business Operations Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Credit Data Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Shell or similar companies. Use LinkedIn to connect and engage with them; you never know who might refer you for that Senior Credit Data Scientist role!

✨Tip Number 2

Prepare for interviews by brushing up on your technical skills. Make sure you can talk confidently about AI-driven analytics, predictive modelling, and how you've used Python and SQL in past projects. Show us you can walk the walk!

✨Tip Number 3

Don’t just focus on your qualifications; highlight your passion for the energy sector and the importance of risk management. Share examples of how you've driven innovation in previous roles – we love to see that enthusiasm!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining Shell and being part of our mission to power progress responsibly.

We think you need these skills to ace Senior Credit Data Scientist

Advanced Analytics
AI-driven Analytics Solutions
Predictive Modelling
Scenario Analysis
Data Visualisation
Python
SQL
Excel
Databricks
Data Engineering Fundamentals
ETL Processes
Model Governance
Attention to Detail
Interpersonal Skills
Credit Risk Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Credit Data Scientist role. Highlight your expertise in advanced analytics, AI, and credit risk to catch our eye!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've used predictive modelling or scenario analysis in your previous roles.

Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any data visualisation tools you’ve worked with. We love seeing candidates who can hit the ground running with their technical know-how!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at Shell!

How to prepare for a job interview at Shell Business Operations

✨Know Your Analytics Inside Out

Make sure you’re well-versed in advanced analytics and AI, especially as they relate to credit risk. Brush up on your predictive modelling and scenario analysis skills, and be ready to discuss how you've applied these in real-world situations.

✨Showcase Your Technical Skills

Be prepared to demonstrate your proficiency in Python, SQL, and data visualisation tools like QlikView. You might even want to bring along a portfolio of your previous work or projects that highlight your technical expertise and problem-solving abilities.

✨Understand the Business Impact

When discussing your experience, focus on how your analytics solutions have driven business outcomes. Be ready to explain complex AI models in simple terms and how they translate into actionable insights for stakeholders.

✨Engage with Stakeholders

Since collaboration is key in this role, think about examples where you've successfully engaged with different teams. Prepare to discuss how you’ve championed AI adoption and facilitated change management across departments.

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