Data Scientist (Commercial/Customer/Operations)

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.

Client Details

Global Engineering Company

Description

As a Data Scientist, you will combine your skills in statistical modelling and programming to generate business value from organisational data. The solutions that you develop will inform real, high-impact business decisions - driving top-line growth, optimising operational efficiency, and enhancing customer experience.

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.
• Communicate insights to technical and non-technical stakeholders in a coherent and actionable way.
• 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.
• Write, deploy, and maintain production-grade code, adopting best practices in source code management and version control.
• Mentor and/or manage junior members of the Data and Analytics team.

Key Skills/Experience:

• 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.
• Existing knowledge/skills in the following are not essential, but would be highly advantageous:
• Generative AI solutions.
• Microsoft Power BI.
• Microsoft Azure cloud services (including Azure Synapse Analytics).
• Other programming languages (e.g., R, Java, C++).

Profile

• 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.
• Existing knowledge/skills in the following are not essential, but would be highly advantageous:
• Generative AI solutions.
• Microsoft Power BI.
• Microsoft Azure cloud services (including Azure Synapse Analytics).
• Other programming languages (e.g., R, Java, C++).

Job Offer

Opportunity to deliver enhanced analytics services in a global Plc.

Opportunity to work with a broad Data Science community.