Data Scientist
Sword Group
full-time
Posted on:
Location Type: Hybrid
Location: Glasgow • United Kingdom
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About the role
- Conduct data cleaning, preparation and exploratory data analysis (EDA) to uncover actionable insights
- Communicate findings clearly using data visualisation tools and structured reporting
- Build, train and evaluate machine learning models using Python
- Use Azure Machine Learning to manage datasets, run experiments and deploy models
- Implement and maintain MLOps pipelines to automate model training, deployment and monitoring
- Work with stakeholders to translate business problems into data-driven solutions
- Present insights, model outputs and recommendations to both technical and non-technical audiences
- Contribute to best practice in model governance, reproducibility and performance optimisation
Requirements
- A degree (or equivalent practical experience) in Data Science, Computer Science, Mathematics, Statistics or a related discipline
- Experience working in a Data Scientist or similar analytical role
- Strong proficiency in Python and relevant data science libraries
- Hands-on experience with Azure Machine Learning
- Practical understanding of machine learning algorithms and model evaluation techniques
- Experience implementing or contributing to MLOps practices
- Strong data exploration and data visualisation skills (e.g. Power BI)
- Experience building, deploying and managing machine learning models in production environments
- **Desirable:**
- Experience with Azure Databricks or Spark
- Familiarity with Azure Data Factory or other ETL tools
Benefits
- Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth.
- Flexible working: Flexible work arrangements to support your work-life balance. We can’t promise to always be able to meet every request, however, are keen to discuss your individual preferences to make it work where we can.
- A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well-being, and insurance schemes.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data cleaningexploratory data analysismachine learningPythonMLOpsdata visualisationmodel evaluationdata explorationmachine learning algorithmsperformance optimisation
Soft Skills
communicationstakeholder engagementpresentation skillsproblem-solving