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My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. This role is 100% WFH.
The Data Scientist will utilise their expertise to analyse complex data sets and provide insights to give clients a competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions.
The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how to contextualise results and communicate insights to both technical and non-technical audiences.
Computer vision experience is essential for this role.
Responsibilities
- Work with cross-functional teams to identify business problems and translate them into data-driven solutions.
- Develop algorithms and statistical models to analyse and interpret complex data sets.
- Collaborate with software engineers to integrate models into the production environment.
- Communicate insights and results to technical and non-technical stakeholders.
- Ensure data quality and accuracy in all deliverables.
- Continuously monitor and improve the performance of models and algorithms.
- Stay up-to-date with emerging trends and technologies in the field of data science.
Requirements
- Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas,Scikit-Learn, Matplotlib, Plotly etc.).
- Strong expertise in statistical modelling, machine learning, and data mining techniques.
- Experience in computer vision is essential.
- Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage.
- Experience with data analysis, data visualization, and data cleansing.
- Experience in applying data science within the context of engineering, manufacturing, orindustrial operations desirable.
- Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.
