Data Scientist (Commercial / Process Automation / GenAI)

Data Scientist (Commercial / Process Automation / GenAI)

Global Engineering Company are seeking a Data Scientist to support on 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

1. Conduct in-depth exploratory data analysis (EDA) on datasets, translating findings into clear, actionable insights.
2. 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.
3. Communicate insights to technical and non-technical stakeholders in a coherent and actionable way.
4. In collaboration with Data Engineering colleagues, build cloud-based Extract Load Transform (ELT) pipelines that provide high-quality datasets for analysis and modelling.
5. Develop tools and code libraries to help Data Science colleagues work more efficiently.
6. Write, deploy, and maintain production-grade code, adopting best practices in source code management and version control.
7. Mentor and/or manage junior members of the Data and Analytics team.

Key Skills / Experience:

1. 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.
2. Certifications in Data Science.
3. Comfort manipulating, analysing and visualising complex, high-volume, high-dimensionality data from varying sources.
4. Demonstrated experience with advanced analytical techniques such as machine learning, deep learning and/or Bayesian statistics.
5. Highly proficient in Python.
6. Highly proficient in SQL and the use of relational databases.
7. Advanced user of Microsoft Excel.
8. Existing knowledge/skills in the following are not essential, but would be highly advantageous:
1. Generative AI solutions.
2. Microsoft Power BI.
3. Microsoft Azure cloud services (including Azure Synapse Analytics).
4. 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.

Job Info

Job Title: Data Scientist (Commercial / Process Automation / GenAI)

Company: CV-Library

Location: Birmingham, West Midlands

Posted:

Closes:

Sector: IT

Contract: Permanent

Hours: Full Time