fbpx
Share on linkedin
LinkedIn
Share on twitter
Twitter
Share on facebook
Facebook

Job Overview

For our prestigious customer, we are looking for a Data Modeler for an exciting project in the UK with long visibility.

This position requires Data modelling experience in a Pharmaceutical environment.

Skills:

  • Business facing
  • Pharmaceutical
  • Supply Chain experience
  • Some knowledge of Machine Learning.
  • Proactive
  • Able to work in a team
  • Agile environment

Responsibilities:

  • Liaise with clients to provide ingestion information to data engineers.
  • Create documents such as dimensional data model structures, data dictionaries, and entity and conceptual diagrams.
  • Work with Data Engineers and Data Scientists.

If you are interested in this position as a Data Scientist, please submit your CV for immediate consideration.

More Information

Showing 1–0 of 0 jobs

Senior Data Scientist ML – Pharma

Senior Data Scientist ML – Pharma Key Skills An MSc, PhD, MPH/MS in, statistics, data science, public health or similar – or equivalent experience Hands-on programming skills in R and/or Python, with SAS or similar an advantage A track record working with observational/epidemiology/health outcomes projects Experience with clinical trial/healthcare/electronic medical records Database mining skills Excellent written and verbal communication and

Freelance IT architect (m / f / d) for a data warehouse project

For our prestigious customer, we are currently looking for a Data Architect/Data Modeler for an exciting project 6-month project with the visibility to extend in Germany! In this project, you will be utilising Datamodelling to design and implement data models on the platform to help redefine the BI architecture. Your Profile Developing data models and data integration, harmonization and data

Data Engineer / ETL Developer (m / f / d)

An exciting opportunity is available for a Data Engineer / ETL Developer to work for a reputable company based in Germany. This role is a contract position till the end of the year with the opportunity to extend which will be based on individual performance and business needs. Responsibilities: Design and technical implementation of data models on the Data Platform.