SC Cleared Data Scientist/Senior Data Scientist/Solution Engineer
Summary: The role encompasses responsibilities for both Data Scientist and Solution Engineer positions, requiring expertise in JavaScript, Java, and machine learning applications. Candidates should have experience in software development, cloud computing, and data analysis, with a focus on industrial applications. The position is hybrid based in London and classified as inside IR35.
Key Responsibilities:
- Design and deploy machine learning algorithms for applications such as fraud detection and predictive maintenance.
- Develop software using JavaScript and Python, and work with various JavaScript frameworks.
- Deploy software on leading cloud platforms (GCP, AWS, Azure).
- Analyze, cleanse, and normalize time-series data.
- Utilize version control software and understand SQL and NoSQL databases.
- Apply Agile software development methodologies.
- Leverage common machine learning techniques and domain expertise in relevant industries.
Key Skills:
- Experience with JavaScript and Java.
- Proficiency in scalable machine learning techniques (MapReduce, streaming).
- Software development experience with JavaScript and Python.
- Familiarity with Git or other version control systems.
- Understanding of SQL and NoSQL databases.
- Proficiency in data structure and algorithm design.
- Knowledge of Agile methodologies and machine learning applications.
- Domain expertise in Aerospace, Financial Services, Healthcare, and other specified industries.
Salary (Rate): £700/day
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Data Scientist/Senior Data Scientist/Solution Engineer
Hybrid - London
Inside iR35
Job Spec
Data Scientist/Senior Data Scientist
Experience with JavaScript and Java.
Experience with time series and dynamical systems.
A portfolio of projects (GitHub, papers, etc.).
Experience with scalable ML (MapReduce, streaming).
Experience in Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
Solution Engineer
Software development experience with JavaScript and Python
Experience with Git or other version control software
Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular
Experience deploying software to least one of the leading cloud computing platforms (ie, GCP, AWS, Azure)
Understanding of SQL and NoSQL databases
Proficiency in data structure and algorithm design and implementation
Proficiency in time-series data analysis, cleansing, and normalization
Working knowledge of Agile software development methodology
Solid understanding of common machine learning techniques, applications, and trade-offs
Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications
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