Junior Machine Learning | The Hague

The Data Science department translates large volumes of unstructured, often dynamic data sets into actionable insights. This data often originates from internet-based platforms such as social media and discussion forums, but can also include sensor data and transaction log files. We work with our clients on finding new methods for searching, linking and detecting trends in large amounts of heterogeneous data (text, audio, video, etc.). In today’s society, it is increasingly important to explain the results of these analyses and trends to human decision-makers. Would you like to help make fundamental improvements to these methods based on large amounts of data?
Then come and work for us as a Junior Data Scientist. You will develop solutions with a privacy-friendly design, for example analytical methods using encryption forms. In this way, we ensure that data can be analysed without releasing the content of sensitive data. We make the analysis transparent for the user and/or owner of the data and give them control over the privacy settings. We work with strategic partners such as LIACS and encryption experts (TNO-CSR, CWI), as well as European research consortia. In the healthcare world, we enable analyses between chain parties without breaching the confidentiality of the data. In the police and defence domain, we deal responsibly with privacy-sensitive data analysis.

With a background in machine learning, you will make an invaluable contribution to client projects. Complex recognition and decision-making tasks will use these techniques in an increasing number of application fields, such as security, defence and health. Some areas you can help us with include:

• Defence: How can the Ministry of Defence take military advantage of the large amounts of (unstructured) data to be found on the internet, and which sources can and cannot be trusted? 
• Wellbeing and health: Help facilitate analyses between supply chain parties in the healthcare sector, without violating data privacy or having to share sensitive data

Would you like to use what you know to contribute to the above topics? And does the list of requirements below sound like you? Then we would like to hear from you!

• Do you have a broad interest in machine learning and artificial intelligence (AI)?
• Do you like to try out new techniques or new applications? We are happy to give you the space.
• Do you have the programming skills to turn your ideas into practical and demonstrable solutions?
• Can you quickly get to grips with platforms like GitLab and Docker?
• Do you enjoy working with other experts at TNO and/or partners and stakeholders outside TNO?
• Are you interested in contributing your expertise to different domains and application fields?

As a Junior Data Scientist, you will carry out research projects, help turn client issues into concrete projects, co-write quotes, give presentations on your work and write (academic and popular) publications and reports.

 

As a Junior Data Scientist, you are:

• An IT university graduate, e.g. a master’s in Computer Science, Artificial Intelligence, Machine Learning or (Statistical) Data Science;
• Knowledgeable about Machine Learning methods and aware of the prerequisites, opportunities and limitations;
• Actively proficient in programming languages such as Python and Scala;
• Experienced in using Machine Learning libraries (e.g. TensorFlow, Keras, sklearn, Caffe and Torch);
• Preferably experienced in micro services based software design (Docker).

TNO is an independent research organisation whose expertise and research make an important contribution to the competitiveness of companies and organisations, to the economy and to the quality of society as a whole. Innovation with purpose is what TNO stands for. With 3000 people we develop knowledge not for its own sake but for practical application. To create new products that make life more pleasant and valuable and help companies innovate. To find creative answers to the questions posed by society. We work for a variety of customers: governments, the SME sector, large companies, service providers and non-governmental organisations. Working together on new knowledge, better products and clear recommendations for policy and processes. In everything we do, impact is the key. Our product and process innovations and recommendations are only worth something if our customers can use them to boost their competitiveness.

Work enjoyment means something different for each employee. This is why we offer a-la-carte terms and conditions of employment that you can switch around on a monthly basis. Flexible working hours (like 4 days x 9 hours) and different leave schemes mean that you can create a package attuned to your specific wishes.
TNO attaches great value to both your personal and your professional development. Many opportunities exist for you to develop: conferences, courses, workshops, coaching, intervision, mentoring and job rotation. At TNO you can orchestrate your own career.