Research Engineer
Amstelveen, Netherlands
Applications have closed
Bedrijfsomschrijving
- Build the infrastructure for data-driven solutions;
- Develop in a highly regulated industry;
- Communicate with people from varying backgrounds;
- Collaborate with researchers, engineers and developers;
- Build models such as time-series models.
Vacatureomschrijving
KPMG’s Digital Assurance & Innovation practice (Daní) is a steadily growing dynamic department, where audit and tech are brought together in a start-up/scale-up fashion. We innovate, develop and prepare the audit function for the future. Our passionate professionals are capable of developing out-of-the-box technical solutions that deliver value in a new context. We connect business understanding with the latest technological capabilities. The future is digital, and we reshape the future of KPMG.
As a Research Engineer you will play a vital role in digitizing the audit through in-depth data understanding and modeling. In close collaboration with other team members you will build data-driven audit methods.
We develop and support KPMG's analytics solutions. You use your experitse and creativity to assist audit and assurance teams by optimizing and developing innovative and efficient IT tools. Together, we deliver tangible, innovative results of the highest quality to our clients as true leaders in our field. At KPMG you are given a lot of responsibility early on and the opportunity to grow professionally and become a true leader in your field. If you are successful, we are successful!
Functie-eisen
- Degree in Computer Science, Engineering or related technical field;
- 0-2 years experience in a similar role;
- Familiar with the concepts of machine learning frameworks such as PyTorch, Lightning, and Azure ML;
- Familiar with advanced machine learning models with a focus on uncertainty quantification techniques;
- Advanced degree, such as a PhD, is a plus.
Aanvullende informatie
- A market-competitive salary, profit sharing, a fixed expense allowance, and a home office allowance.
- 30 vacation days (based on full-time employment) with the option to buy more days or sell your vacation days.
- At KPMG, we work hybrid, so a combination of both home and office.
- A fully equipped home office.
- A company car + NS business card or a mobility scheme.
- A laptop and iPhone that you can also use privately.
- A flexible pension without mandatory personal contributions.
- An extensive range of training and courses that contribute to your professional and personal development.
- Diversity networks in the areas of pride, gender, ability, cultural diversity, and generations that regularly organize various activities to celebrate differences!
- Attention to vitality! Exercise at the office in Amstelveen or get a discount at a gym near you, and access to coaching, health, and vitality programs.
- 'Together' is one of our core values. You can count on various social activities such as team outings, drinks, and events with your colleagues.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Engineering Machine Learning ML models PhD PyTorch Research
Perks/benefits: Career development Competitive pay Flex vacation Gear Team events
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