Job Description

Join a pioneering company at the forefront of data collaboration and privacy-enhancing technologies. This innovative and fast-growing organization empowers businesses to unlock the value of consumer insightssecurely and ethicallythrough cutting-edge data clean rooms and AI-powered solutions.Our client is currently looking for a Senior Data Science Consultant to join their team.Requirements:xc2xb7 Bachelor's degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field. Postgraduate degree preferred.xc2xb7 Proven experience (2+ years) in strategic consulting, management consulting, or a related field, with a focus on data-driven decision-making.xc2xb7 Proven experience (5+ years) in a mid to senior level data science role with experience in leading projects and supervising other data scientists.xc2xb7 Microsoft Certified: Azure Data Scientist Associate certification or equivalent would be advantageous.xc2xb7 Experience with pricing or risk models in the banking or insurance industries would be advantageous.xc2xb7 Strong proficiency in data analysis tools and programming languages such as Python and SQL.xc2xb7 Working knowledge of data management and data visualization tools (Tableau, Power BI, etc...) and techniques.xc2xb7 Strong proficiency and proven working experience with statistical methods, machine learning algorithms, and data mining techniques.xc2xb7 Experience in Azure Synapse Analytics, Azure Machine Learning will be an advantage.xc2xb7 Experience with PySpark and distributed computing using Apache Spark within Azure Synapse.xc2xb7 Experience with Delta Lake / Delta Tables, Databricks, or other modern data lakehouse technologies is a strong advantage.xc2xb7 Proven experience designing and developing Synapse Pipelines that integrate:xc2xb7 SQL stored proceduresxc2xb7 Spark jobs (via Synapse Notebooks or Spark Pools)xc2xb7 API integrationsxc2xb7 Orchestration and automation flowsShould you meet the requirements for this position, please email your CV to . You can also contact the team on XXX-XXXX or alternatively you can visit our websiteShould you not hear from us within 3 days, please consider your application unsuccessful.

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