At a Glance
- Tasks: Support the integration of a new Python-based forecasting algorithm into SAP IBP.
- Company: Join a forward-thinking company with a focus on innovation and technology.
- Benefits: Competitive pay at £90/hr and mostly remote work with occasional site visits.
- Other info: Flexible working environment with opportunities for professional growth.
- Why this job: Be at the forefront of machine learning integration in demand planning.
- Qualifications: Experience with SAP IBP and Python programming is essential.
The predicted salary is between 90 - 90 £ per hour.
We are seeking a SAP IBP Demand Consultant to support the productionisation of a new external Python-based forecasting algorithm.
The role focuses on integrating external forecast outputs into SAP IBP, moving beyond a pure IBP demand ML implementation.
- Rate: £90/hr
- Mostly WFH (some visits to Walton-on-Thames)
- Clearance: BPSS
SAP IBP Demand Consultant - Machine Learning Integration (BPSS) in London employer: Sanderson Government and Defence
As a leading employer in the tech industry, we offer our SAP IBP Demand Consultant a dynamic work environment that prioritises innovation and collaboration. With a flexible work-from-home policy and opportunities for professional development, employees can thrive while contributing to cutting-edge projects in Walton-on-Thames. Our commitment to employee growth and a supportive culture makes us an exceptional place to build a meaningful career.
Contact Details:
Sanderson Government and Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land SAP IBP Demand Consultant - Machine Learning Integration (BPSS) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the SAP IBP space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your knowledge of machine learning integration with SAP IBP. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio or a GitHub repository where you can display your projects related to Python-based forecasting algorithms. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace SAP IBP Demand Consultant - Machine Learning Integration (BPSS) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SAP IBP and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for what we do.
Showcase Your Technical Skills:Since this role involves integrating Python-based algorithms, make sure to mention any relevant technical skills or experiences. We’re keen to know how you can contribute to our team’s success!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates from us!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your SAP IBP Inside Out
Make sure you brush up on your knowledge of SAP Integrated Business Planning (IBP) and its functionalities. Understand how it integrates with machine learning algorithms, especially in the context of demand forecasting. This will show your potential employer that you're not just familiar with the software but can also leverage it effectively.
✨Showcase Your Python Skills
Since the role involves a Python-based forecasting algorithm, be prepared to discuss your experience with Python. Bring examples of past projects where you've used Python for data analysis or machine learning. If possible, demonstrate your understanding of how to integrate Python outputs into SAP IBP.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles related to demand planning or machine learning integration. Prepare to explain how you approached these challenges and what the outcomes were.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the team dynamics, the specific challenges they face with the current forecasting algorithm, or how they envision the future of SAP IBP in their operations. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
