Performancing Metrics

Data Scientist with a Data Engineering Focus

  Worldwatch R&D Team
  Utrecht, The Netherlands

Our Story

Brainial was founded in 2019 to help organizations compete and innovate with smart solutions and instant value. Our B2B SaaS products, high-level consultancy and training offerings are bridging the gap between what is possible on a technology level and applying the technology to generate instant business value for sales and marketing departments. We help organizations to yield a competitive advantage real time by using the most effective way to gain more actionable insights in the field of sales and marketing. We have deep expertise in multiple sectors including maritime, manufacturing, and construction.

Job description

Brainial’s SaaS solution turns unstructured data into actionable intelligence. Our international client base is growing rapidly, and that is why we need a best-in-class Applied Data Scientist to join our team.

Working at our startup means that you will be making an impact working in an ambitious, fast-growing team to build an exciting AI powered SaaS product to the worldwide market. The core of your role will be to deeply understand our clients’ business challenges. You come up with and build models that provide a solution for those problems by covering the full spectrum of predictive modelling, anomaly detection, and content recommendation systems.

You have a passion for artificial intelligence and the way it is changing enterprises and business models. You are willing to learn new technologies and you are an independent problem solver. You want to be part of that revolution and are looking for an adventurous job where you can make a real difference.


As part of the R&D team, you will have to extract insights from our data (mostly in non-structured text form) and provide new tools and resources for our developers and analysts. As an Applied Data Scientist with a Data Engineering focus, one of your core tasks is to support the team in turning their ideas into production-ready analytical models.

Hard skills:

  • Problem solving and analytical thinking
  • Strong mathematical and statistical background
  • Ability to implement and apply algorithms in Python
  • Experience in predictive modelling and associated tools is a pré
  • Proficiency with Machine Learning and AI in general (PyTorch, TensorFlow, scikit-learn, …)
  • Familiarity with REST APIs and deployment of models (HUG, Google Cloud)
  • Ability to configure and deploy data-processing pipelines (Spark, Airflow)
  • Familiarity with non-relational databases (elastic, neo4j and relational a plus)
  • Proper knowledge of the English language
  • We also really appreciate an intuitive understanding of business problems

Soft skills:

  • Authentic and ambitious
  • Entrepreneurial and pragmatic mindset
  • High degree of personal motivation
  • Ability to manage your own schedule
  • Deep care for end users and their experience
  • You are transparent, honest and eager to learn new things and technologies
  • You’ve worked in agile environments, can estimate scope & prioritize

Here are some of the benefits that we have to offer:

  • Best teammates: highly ambitious and driven people and a great startup vibe.
  • Competitive salary and opportunity to grow: with rapid growth, new roles are popping up. Deliver, show energy and challenge assumptions and you’ll be there fast.
  • Steep learning curve: you can experience a challenging and exciting career, faster than possible.
  • Daily lunch, team activities and Friday afternoon drinks

What working at Brainial is like:

Take your bike or a tram, or just walk to our office in the center of Utrecht (Museumkwartier). You determine your own starting time at Brainial, but at 10:00 am, we have a daily stand-up meeting where everybody shares their deliverables for the day.

Brainial has a flat organizational hierarchy, you won’t get bureaucracy, beating around the bush and bs. In our environment, your ideas are highly valued. We offer a wide array of perks to help our employees find an ideal work-to-life balance. We’re all about increasing productivity by maximizing joy!