Data Science

Data Science

Posted 1 week ago by Vallum on JobServe

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Negotiable
Inside
Onsite
London, United Kingdom
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Agile Methodology Anomaly Detection Artificial Intelligence Big Data Cloud Computing Cloud Technology Containerisation Data Analysis Device Tracking Software Feature Engineering Generic Programming Gitlab JIRA Machine Learning Microsoft Azure Model Building Natural Language Processing NLTK (NLP Analysis) Python (Programming Language) Software Development Software Development Methodologies SQL (Programming Language) Unix Unix Commands Workflows

Summary: The role of Data Scientist involves developing and implementing AI solutions, with a strong emphasis on statistical data analysis, machine learning, and natural language processing. The position requires proficiency in Python and SQL, along with experience in complete project delivery from data preparation to model evaluation. The candidate must be capable of working on-site for three days a week and is expected to have excellent communication skills and a passion for learning new technologies.

Key Responsibilities:

  • Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations.
  • Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP.
  • Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization.
  • Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries.
  • Familiar with ML Ops, model development workflows, and feature engineering techniques.
  • Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search.
  • Adept with software development methodologies, code versioning (eg, GitLab), and project tracking tools (eg, JIRA).
  • Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions.
  • Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial.
  • Excellent communication skills in English, with fluency in UNIX command line and familiarity with agile development practices.

Key Skills:

  • Statistical data analysis
  • Machine learning
  • Natural language processing (NLP)
  • Python programming
  • SQL
  • AI solution development
  • Project delivery
  • ML Ops
  • Feature engineering
  • Data manipulation
  • Azure AI Search
  • Software development methodologies
  • Code versioning (GitLab)
  • Project tracking (JIRA)
  • Cloud Computing
  • Big Data tools
  • Visualization tools
  • Containerization tools
  • Communication skills
  • UNIX command line
  • Agile development practices

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: on-site

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

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