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Job title: Data Scientist
Industry: Technology
Contract duration: 12 months
Location: London Waterloo, 5 days onsite
Day rate: Up to £670 per day
The role:
- Design and deploy machine learning algorithms for industrial applications such as fraud detection and predictive maintenance
- Work with time series data and dynamical systems, including cleansing, normalisation, and analysis
- Build and deploy scalable ML solutions using approaches such as MapReduce and streaming
- Develop software using JavaScript, Java, and Python across the stack
- Build and maintain frontend components using frameworks such as React, Redux, Vue, Backbone, or Angular
- Deploy software to at least one major cloud platform, GCP, AWS, or Azure
- Work with SQL and NoSQL databases to support data-driven applications
- Apply strong data structure and algorithm design skills to real-world engineering problems
- Operate within an Agile software development environment
- Bring domain expertise from sectors such as Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, or Telecommunications
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Skills needed:
- Strong software development experience with JavaScript and Java or Python
- Experience with Git or other version control software
- Practical experience with time series analysis and dynamical systems
- A portfolio of relevant work, GitHub, papers, or similar
- Solid understanding of common machine learning techniques, applications, and trade-offs
- Experience deploying to leading cloud platforms
- Understanding of SQL and NoSQL databases
- Working knowledge of Agile methodology
- Security clearance required for this role
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Research shows men will apply for a role when they meet only 50 to 60% of the requirements, while women and other underrepresented groups tend to apply only when they meet 90 to 100%. If this role excites you but you don't tick every box, please still apply. We'd love to hear from you.
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