Senior Credit Data Scientist in London

Senior Credit Data Scientist in London

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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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. You can learn more about how we're working towards that goal by visiting our site. 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. We strive to ensure that our process and workplace are accessible to everyone and are dedicated to making reasonable adjustments to support your needs.

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. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

Senior Credit Data Scientist in London employer: Bio-Energy Systems Chile

At Shell Trading & Supply, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through diverse career opportunities and access to extensive training programmes, all while working at the forefront of the energy transition. With flexible working arrangements and a strong focus on diversity and inclusion, we empower our employees to thrive both personally and professionally in a supportive environment.
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Contact Detail:

Bio-Energy Systems Chile Recruiting Team

StudySmarter Expert Advice 🤫

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

✨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.

✨Tip Number 3

Showcase your problem-solving skills! Be ready to tackle case studies or technical questions during interviews. Think about how you can apply advanced analytics to real challenges in the energy sector.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our Talent Community for future opportunities that might suit you.

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

Advanced Analytics
AI-driven Analytics
Predictive Modelling
Scenario Analysis
Data Visualisation
Python
SQL
Excel
Databricks
Data Engineering Fundamentals
Model Governance
Attention to Detail
Analytical Skills
Communication Skills
Problem-Solving Skills

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 through our website for a smoother application process. It helps us keep track of your application and ensures you receive all the necessary updates. Plus, it’s super easy!

How to prepare for a job interview at Bio-Energy Systems Chile

✨Know Your Analytics Inside Out

Make sure you’re well-versed in advanced analytics and AI, especially as it relates 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. Bring examples of dashboards or models you've built, and explain how they contributed to decision-making processes.

✨Understand the Business Impact

When discussing your past projects, focus on how your analytics solutions drove measurable business impact. Be ready to translate complex AI models into clear business outcomes, showing that you understand the commercial side of your work.

✨Engage with Stakeholders

Highlight your interpersonal skills by sharing experiences where you collaborated with different teams. Discuss how you’ve championed AI adoption and engaged stakeholders in change management, as this is crucial for the role.

Senior Credit Data Scientist in London
Bio-Energy Systems Chile
Location: London
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