Senior Forecasting Modelling Specialist in Milton Keynes
Senior Forecasting Modelling Specialist

Senior Forecasting Modelling Specialist in Milton Keynes

Milton Keynes Full-Time 60000 - 80000 ÂŁ / year (est.) Home office (partial)
Shell

At a Glance

  • Tasks: Lead the design and enhancement of forecasting models using advanced statistical methods.
  • Company: Join Shell, a global leader in energy and innovation.
  • Benefits: Flexible working hours, competitive salary, and extensive training opportunities.
  • Why this job: Make a real impact on energy transition while developing your skills.
  • Qualifications: Experience in forecasting models and proficiency in Python or R required.
  • Other info: Diverse and inclusive culture with excellent career growth potential.

The predicted salary is between 60000 - 80000 ÂŁ per year.

Responsibilities:

  • Lead the design, enhancement, and maintenance of Gas & Power demand forecasting models, improving accuracy, robustness, and scalability.
  • Apply advanced statistical/econometric and machine‑learning methods (e.g., state‑space, hierarchical/time‑varying models, gradient boosting, deep learning where appropriate).
  • Establish and run systematic model performance monitoring with clear diagnostics and alerting.
  • Improve data availability in partnership with Data & Insights Teams; ensure reproducibility (version control, environments, documentation).
  • Translate complex model outputs into clear insights and recommendations for non‑technical stakeholders.
  • Support stakeholder forums and customer‑facing discussions where modelling expertise is needed.
  • Drive automation and operational excellence across forecasting workflows (testing, continuous improvement for modelling, scheduled retraining).
  • Mentor analysts on modelling techniques, coding standards, and review practices; contribute to a culture of curiosity and continuous improvement.

What You Bring:

  • Significant, demonstrable experience improving and deploying forecasting models in production or a strong data science background with deep time‑series/predictive modelling expertise.
  • Proficiency in Python or R, SQL and experience with ML/time‑series libraries (e.g., scikit‑learn, XGBoost, Prophet/state‑space toolkits, PyTorch/TensorFlow where relevant); data visualisation (Power BI and/or Python‑based).
  • Experience working with large datasets and modern data platforms (e.g., Azure/AWS/GCP), version control and workflow orchestration.
  • Understanding or prior experience of Gas & Power demand drivers, weather impacts, and commodity market dynamics (desirable).
  • Strong communication skills; ability to convey complex topics simply and diplomatically; comfortable collaborating with trading, pricing, and data teams; organised with attention to quality, transparency, and documentation.

What We Offer:

  • Opportunity to develop skills in an environment that values honesty, integrity, and respect.
  • Balance your priorities as you become the best version of yourself.
  • Work at the forefront of technology, trends, and practices.
  • Collaborate with experienced colleagues with unique expertise.
  • Flexible working hours, and the possibility of remote/mobile working.
  • Competitive starting salary and annual performance‑related salary increase.
  • Paid parental leave, including for non‑birthing parents.
  • Join an organisation working to become one of the most diverse and inclusive in the world.
  • Access to a wide range of training and development programmes.

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 via careers@shell.com.

Senior Forecasting Modelling Specialist in Milton Keynes employer: Shell

At Shell, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in Milton Keynes. Our commitment to employee growth is evident through diverse career opportunities, comprehensive training programmes, and a values-led environment that prioritises work-life balance and inclusivity. Join us to be part of a team dedicated to tackling the energy transition while enjoying competitive benefits and flexible working arrangements.
Shell

Contact Detail:

Shell Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Forecasting Modelling Specialist in Milton Keynes

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Shell on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with forecasting models and how you've used Python or R in real-world scenarios. We want to see your expertise shine!

✨Tip Number 3

Showcase your communication skills! Practice explaining complex modelling concepts in simple terms. This will help you connect with non-technical stakeholders during interviews, which is key for this role.

✨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 perfectly.

We think you need these skills to ace Senior Forecasting Modelling Specialist in Milton Keynes

Forecasting Modelling
Statistical Methods
Econometric Methods
Machine Learning
Python
R
SQL
Data Visualisation
Time-Series Analysis
Model Performance Monitoring
Automation
Stakeholder Communication
Large Dataset Management
Version Control
Gas & Power Demand Understanding

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Forecasting Modelling Specialist role. Highlight your experience with forecasting models, machine learning techniques, and any relevant projects that showcase your skills in Python or R.

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 aligns with Shell's mission. Don’t forget to mention your experience with data visualisation and collaboration with stakeholders.

Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention the libraries you’ve used, like scikit-learn or TensorFlow, and any experience with large datasets or cloud platforms. This will help us see your fit for the role!

Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to us. Plus, you can keep track of your application status easily!

How to prepare for a job interview at Shell

✨Know Your Models Inside Out

Make sure you’re well-versed in the forecasting models mentioned in the job description. Be ready to discuss your experience with advanced statistical methods and machine learning techniques, as well as how you've applied them in real-world scenarios.

✨Communicate Clearly

Since you'll need to translate complex model outputs for non-technical stakeholders, practice explaining your work in simple terms. Use examples from your past experiences to demonstrate how you’ve successfully communicated technical concepts.

✨Showcase Your Collaboration Skills

Prepare to discuss how you’ve worked with cross-functional teams, especially with trading, pricing, and data teams. Highlight any specific projects where collaboration led to improved outcomes, as this role requires strong teamwork.

✨Demonstrate Continuous Improvement Mindset

Be ready to share examples of how you’ve driven automation and operational excellence in your previous roles. Discuss any mentoring experiences you have, as they’ll want to see your commitment to fostering a culture of curiosity and improvement.

Senior Forecasting Modelling Specialist in Milton Keynes
Shell
Location: Milton Keynes

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