Senior Data ML Engineer/Scientist

For one of our banking clients we are looking for a Senior Data Scientist to use machine learning and language models as part of our capability to drive our detection and response further. We have vast amounts of data that can be used to make the bank, its customers and employees more secure. Applying machine learning and language models consciously and with care will enable us to scale our detection and response capabilities next to investing into detection in depth.

| Responsibilities |
Identify problems and opportunities within the domain, which can be addressed using data science solutions. Determine the business value of the problem. Be able to challenge the business stakeholders and guide them towards the most appropriate solution.
Be in the lead for use cases with a complex stakeholder map (cross-functional use cases).
Understand data: build domain knowledge and translate that to proper extract, transform and load (ETL) steps using large data sets.
Evaluate the models and (help) deliver them to the end user via implementation in a production environment

| Requirements |
You have a quantitative MSc, PhD or similar and a minimum of 3 or more years of work experience as a data scientist. You are a creative team player and you are not afraid to give and ask for help and feedback. You have many of the following typical data science skills:
Machine Learning algorithms (such as Scikit-learn, Tensorflow, Keras, PyTorch),
Programming: Python, PySpark and SQL
Statistics, experiment design, mathematics.
Data Wrangling, ETL, Big Data systems
Data engineering / ML engineering. Implement advanced analytics robustly in various target (cloud) systems. Experience with Cloud tools (Azure Databricks and Azure Data Lake Storage) is preferred.
Communication and Data Visualization: Knowing Your Audience

| Job Details |
36 hours
1 Year Contracting to Perm
Hybrid
For inquiries, contact Alexander Mungkorn, Delivery Consultant, at

Michael Bailey International is acting as an Employment Business in relation to this vacancy.