At a Glance
- Tasks: Design and implement AI-driven analytics for credit risk reporting and 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 £ per year.
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.
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. The CDA team supports risk management, the T&S Leadership Team, and the Executive Committee with timely, accurate, and actionable insights that enable informed decision-making and proactive risk management.
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 insights into exposure trends, concentrations, and emerging risks. You will combine 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 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.
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. 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 working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments during the application or interview process, please let us know directly.
Disclaimer: Please note we occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date.
Senior Credit Data Scientist employer: Bio-Energy Systems Chile
Contact Detail:
Bio-Energy Systems Chile 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 folks in the industry, especially those at Shell or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into credit risk analytics and AI trends. Brush up on your Python and SQL skills, and be ready to discuss how you've used them in real-world scenarios. Show us you mean business!
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a quick email expressing your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Practice makes perfect! Use mock interviews to get comfortable discussing your experience and how it aligns with the role. The more you rehearse, the more confident you'll feel when it counts.
We think you need these skills to ace Senior Credit Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Credit Data Scientist role. Highlight your experience with advanced analytics, AI, and credit risk management. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Since this role requires proficiency in Python, SQL, and data visualisation tools, make sure to highlight these skills prominently. We love seeing examples of how you've used these tools in past projects, so don’t hold back!
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. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Bio-Energy Systems Chile
✨Know Your Analytics Inside Out
As a Senior Credit Data Scientist, you'll need to showcase your expertise in advanced analytics and AI. Brush up on your predictive modelling and scenario analysis skills, and be ready to discuss how you've applied these in real-world situations. Prepare examples that highlight your ability to translate complex data into actionable insights.
✨Demonstrate Your Technical Skills
Familiarity with Python, SQL, and data visualisation tools like QlikView is crucial. Make sure you can talk confidently about your experience with these technologies. Consider preparing a mini-project or case study that illustrates your technical prowess and how it relates to credit risk analytics.
✨Showcase Your Business Acumen
It's not just about the numbers; understanding the commercial impact of your work is key. Be prepared to discuss how your analytics solutions can drive business decisions and enhance risk management. Think about how you've previously integrated analytics into business workflows and the outcomes that resulted.
✨Engage with Stakeholders
Effective communication is vital, especially when championing AI adoption across teams. Prepare to share experiences where you've successfully engaged stakeholders, facilitated training, or managed change. Highlight your interpersonal skills and how they’ve helped you collaborate with diverse teams in high-pressure environments.