Join a consultancy as a Data Scientist and help shape data infrastructures for various clients. You'll work on exciting AI and machine learning projects while collaborating with diverse teams in a hybrid work environment.
As a Data Scientist at our consultancy client, you will play a crucial role in enhancing data infrastructures for various clients. Your primary focus will be on developing and optimizing data models that support AI and machine learning initiatives across cloud platforms like AWS and GCP. This position is ideal for someone who enjoys working with data and is eager to make a tangible impact on business performance.
In your day-to-day responsibilities, you will design and implement data warehouses, ensuring they are scalable and maintainable. You will also be involved in building reliable data ingestion pipelines for different types of data, including structured and semi-structured formats. Collaboration with cross-functional teams is key, as you will work closely with other departments to ensure that data solutions align with business goals.
The role suits someone with solid experience in data modelling and a strong understanding of data governance and compliance regulations. You should be comfortable working in a hybrid setup, spending two days on-site and the rest working remotely. If you have a passion for data and a desire to leverage it for strategic business decisions, this position could be a great fit for you.
Key requirements include: • Proven experience in data warehouse design and implementation • Strong skills in data modelling and architecture • Familiarity with AI and machine learning concepts • Experience with cloud platforms, particularly AWS and GCP
This is a mid-level position, so candidates should have at least three years of relevant experience to be considered.
You'll be taken to the original listing on PNet to apply.