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Data Scientist

2 months ago

Reading Berkshire, United Kingdom Experis Full time

Data Scientist | Initial 6 Month Contract (Inside IR35) | UK Remote (Occasional travel to Reading)

Experis have partnered with a well-recognised client in the South East who are looking to recruit a Data Scientist on a contract basis.

You will play a crucial role in developing, deploying, and maintaining machine learning models and data-driven solutions. You will work closely with cross-functional teams to build scalable and robust applications using cutting-edge technologies in the Azure ecosystem.

This role requires candidates to have either active SC Clearance, or eligibility to obtain SC Clearance.

Key Responsibilities:

  • Design, develop, and deploy machine learning models and data science solutions to solve complex business problems.
  • Work with Azure Container Apps to create and manage containerized applications for data science projects.
  • Implement and manage scalable solutions using Azure Kubernetes Service (AKS) for the deployment of machine learning models.
  • Collaborate with DevOps teams to integrate data science solutions into CI/CD pipelines using Azure DevOps, ensuring smooth deployment and operations.
  • Analyze large and complex datasets to extract meaningful insights and support decision-making processes.
  • Develop and maintain documentation for data science models, processes and best practices.

Key Experience Required:

  • Proficient in data analysis, statistical modelling, machine learning, and data visualization.
  • Experience with Python, R, or similar programming languages.
  • Experience in deploying and managing containerized applications using Azure Container Apps.
  • Strong knowledge of Azure Kubernetes Services (AKS) for deploying, scaling, and managing containerized applications in a cloud environment.
  • Experience with CI/CD pipelines, version control, and automation using Azure DevOps.
  • Strong understanding of cloud computing concepts and best practices.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication skills to articulate complex data science concepts to non-technical stakeholders.
  • Experience with big data technologies such as Azure Databricks, Apace Spark, or similar.
  • Familiarity with other Azure services such as Azure Machine Learning, Azure Functions, and Azure Data Factory.
  • Knowledge of software development best practices and agile methodologies.