Data Scientist
1 month ago
Global Engineering Company is seeking a Data Scientist to support operational and customer-centric projects to deliver enhanced efficiencies, process optimisation, and analytics for commercial growth.
Key Responsibilities:
- Conduct in-depth exploratory data analysis (EDA) on datasets, translating findings into clear, actionable insights.
- Develop and deploy cutting-edge AI web applications to drive decision-making in multiple areas of the business, including Sales, Finance, Manufacturing, Engineering, and Marketing.
- In collaboration with Data Engineering colleagues, build cloud-based Extract Load Transform (ELT) pipelines that provide high-quality datasets for analysis and modelling.
- Develop tools and code libraries to help Data Science colleagues work more efficiently.
- Mentor and/or manage junior members of the Data and Analytics team.
Requirements:
- Graduate or post-graduate university degree in a quantitative discipline (such as Mathematics, Computer Science, or Engineering), plus a minimum of 3 years' experience in a Data Science or Data Analysis role.
- Certifications in Data Science.
- Comfort manipulating, analysing, and visualising complex, high-volume, high-dimensionality data from varying sources.
- Demonstrated experience with advanced analytical techniques such as machine learning, deep learning, and/or Bayesian statistics.
- Highly proficient in Python.
- Highly proficient in SQL and the use of relational databases.
- Advanced user of Microsoft Excel.
- Generative AI solutions.
- Microsoft Power BI.
- Microsoft Azure cloud services (including Azure Synapse Analytics).
- Other programming languages (e.g., R, Java, C++).
What We Offer:
- Opportunity to deliver enhanced analytics services in a global Plc.
- Opportunity to work with a broad Data Science community.
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