At a Glance
- Tasks: Lead the design and enhancement of forecasting models using advanced statistical methods.
- Company: Join Shell, a leader in energy transition and innovation.
- Benefits: Flexible working hours, competitive salary, and extensive training opportunities.
- Other info: Diverse and inclusive workplace with a commitment to personal growth.
- Why this job: Make a real impact on global energy challenges while growing your skills.
- Qualifications: Experience in forecasting models and proficiency in Python or R required.
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:
- Work with talented, committed people on one of the most important challenges facing our planet.
- Opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another.
- Balance your priorities as you become the best version of yourself.
- Progress as a person as we work on the energy transition together.
- 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.
- Achieve your balance in a values‑led culture that encourages you to be the best version of yourself.
- Benefit from flexible working hours, and the possibility of remote/mobile working.
- Perform at your best with a competitive starting salary and annual performance‑related salary increase.
- Take advantage of paid parental leave, including for non‑birthing parents.
- Join an organisation working 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 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. We strive to ensure that our process and workplace is accessible to everyone and are dedicated to making reasonable adjustments to support your needs.
Senior Forecasting Modelling Specialist employer: Shell
Contact Detail:
Shell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Forecasting Modelling Specialist
✨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 might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with forecasting models and machine learning techniques. Practice explaining complex concepts in simple terms – it’s key for communicating with non-technical stakeholders.
✨Tip Number 3
Showcase your passion for continuous improvement! Be ready to share examples of how you've driven automation or enhanced workflows in your previous roles. This aligns perfectly with Shell's focus on operational excellence.
✨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 your skills if this role isn’t the perfect fit.
We think you need these skills to ace Senior Forecasting Modelling Specialist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with forecasting models and data science. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this role involves advanced statistical methods and machine learning, be sure to mention your proficiency in Python or R, SQL, and any relevant libraries. We love seeing candidates who can demonstrate their technical prowess clearly.
Communicate Clearly: Remember, you’ll need to translate complex model outputs for non-technical stakeholders. Use simple language in your application to show us you can communicate effectively. This will set you apart from the crowd!
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, it shows us you’re serious about joining our team!
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. Brush up on advanced statistical methods and machine learning techniques like gradient boosting and deep learning. Be ready to discuss how you've applied these in past roles, as this will show your expertise and confidence.
✨Communicate Complex Ideas Simply
Since you'll need to translate complex model outputs for non-technical stakeholders, practice explaining your work in layman's terms. Use examples from your previous experience where you successfully communicated technical concepts to diverse audiences. This will demonstrate your strong communication skills.
✨Showcase Your Data Skills
Be prepared to discuss your proficiency in Python or R, SQL, and any relevant libraries. Bring examples of projects where you’ve worked with large datasets and modern data platforms like Azure or AWS. Highlight your experience with data visualisation tools like Power BI to showcase your ability to present data effectively.
✨Emphasise Collaboration and Mentorship
The role involves mentoring analysts and collaborating with various teams. Share experiences where you’ve led or supported team initiatives, and how you fostered a culture of curiosity and continuous improvement. This will highlight your leadership qualities and your ability to work well in a team environment.