We are looking for a junior or medior data science engineer to complement our data science team working with many of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage.You will use various ML / AI / data science libraries and work on a variety of applications.You will get to use various state of the art technologies including Elastic, Kafka, Kubernetes and Luigi.Finally, you will have the opportunity to look behind the scenes of many domains and data.
What are your responsibilities?
You will typically work together with a more senior member of the team on projects and your day job typically consists of:
- Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling.
- Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.).
- Develop computer models and perform predictive and prescriptive analytics for various applications.
- Build Proof of Concepts in notebooks, integrate these algorithms into the operational flow of the customer, train the users, and provide support.
- Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.).
- Tune algorithms and data pipelines for optimal performance.
- Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data.
- Knack/experience in consultancy services.
Qualifications:
- Previous hands-on experience in Data Science, delivering machine learning models to production.
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering – or equivalent.
- Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, etc.).
- Experience with SQL, Power BI, Git & GitHub.
- Strong knowledge of Machine Learning Algorithms and respective theory.
- Ability to work within a team, collaborating effectively with colleagues.
- Strong stakeholder management skills and the ability to influence.
- A drive to learn new technologies and techniques.
- Experience/aptitude towards research and openness to learn new technologies.
- Experience with Azure, Spark (PySpark), and Kubeflow – desirable.
We pay competitive salaries based on experience of the candidates. Along with this, you will be entitled to an award-winning range of benefits including:
- Access to our company car scheme or car allowance.
- Free confidential 24/7 GP service.
- Hundreds of discounts (including retail, childcare + gym).
- Affordable loans & enhanced pension scheme.
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