Data Scientist - ML

RED Global is currently recruiting for a Data Scientist - ML for our client, a global organisation who are scaling up their data capability. They are looking to bring on board an experienced Data Scientist with experience of Machine Learning, GenAI and solution architecture and software engineering.

Key Responsibilities:

• Responsible to support and advice various clients to identify and define problems and resolve these complex issues for the business.
• You will interact with graph databases through standardized APIs and query languages and work with ETL Prosses.
• Use AI techniques such as GenAI, supervised and un-supervised machine learning techniques.
• Work across the latest data science platforms (Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., Tensorflow, PyTorch, MXNet, scikit-learn).
• Support with building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g., Terraform).
• Advising to the business stakeholders on data driven marketing - working closely with third parties and, internally, with digital teams, IT, and others.
• Excellent verbal and written communication skills in English and French/Dutch with good senior-level stakeholder management soft skills and competencies.

Required skills:

• 3-5 years experiences as a Data Scientist working within global organisations.
• Extensive work experience of various Data Science Platforms such as Databricks, Dataiku, AzureML, SageMaker) and frameworks such as Tensorflow, PyTorch, MXNet, scikit-learn.
• Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud).
• Must have technical knowledge of Machine Learning (ML) or GenAI.
• Industry skills: Manufacturing or Life sciences would be a plus.
• Strong analytical skills and appreciation of coding languages, data sources, data matching and data acquisition.