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Data Scientist – predominantly remote working

Triumph Consultants Ltd
London
10 months ago
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Role:Data Scientist – predominantly remote working
Job Ref:QAD 2410/1012
Pay Rate:Competitive Market Rate
Hours per week:37 hours per week
Contract Length:Anticipated 12 months
Location:London

We are seeking a skilled Data Scientist for a 12-month contract role, working remotely with occasional visits to the London office. The ideal candidate will have extensive experience in writing high-quality, production-grade Python code using a variety of libraries and frameworks, including Pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, OpenCV, and Pydantic. Proficiency in designing and implementing data workflows and models is essential, alongside the ability to contribute to scalable and efficient solutions.

The role requires strong expertise in database systems, particularly Oracle and PostgreSQL, with the ability to write and optimize SQL queries for extracting and manipulating data from relational data stores. Additionally, experience with AWS cloud technologies and its ecosystem is vital for this position, as the candidate will work on cloud-based data solutions and infrastructure.

Key accountabilities:

  • Extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools. Interpret the data and present the results using clear and engaging language.
  • Work closely with the business to identify issues and use data to propose solutions for effective decision making.
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports.

Experience:

  • Experience writing high quality production-grade Python code, using a range of libraries and frameworks: Pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, OpenCV, Pydantic, etc.
  • Experience with Oracle database and/or PostgreSQL. Being able to understand and write SQL queries to extract and manipulate data from existing and new relational (SQL) data stores is a key requirement.
  • Experience using AWS cloud technologies and ecosystem including: S3, Lambda functions, AWS Textract, CodeCommit, Cloud9, SageMaker, etc.
  • Proven experience in a range of AI and data science fields: data wrangling, data visualisation, natural language processing, computer vision, deep learning, and statistical inference.

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