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Data Scientist
Industry: Consultancy
Location: Remote
Rate: €340 per day
Context of Work:
The client operates in B2C space working within renewable energy end-clients located in Hungary, Portugal, and Malta. The successful applicant will expand the SCV data model into new markets.
Core Technologies:
SQL, Python, AWS, Redshift, Athena, RDS, Jupyter Notebook, Visual Studio Code, Machine Learning, and Git.
Key Responsibilities:
- Build the SCV data model for new markets following established architecture design and framework.
- Clean, pre-process, and transform raw data into structured formats using SQL and Python.
- Analyse large volumes of customer data to uncover actionable business insights.
- Develop and validate machine learning models to predict customer behaviours.
- Respond to and solve ad-hoc business questions by extracting and analysing relevant data.
- Create compelling data visualisations for stakeholders.
- Develop and present data stories to communicate analytical results to non-technical stakeholders.
- Apply deterministic record linking techniques to match and merge customer records accurately.
- Work collaboratively with diverse teams to incorporate data-driven insights into business processes.
Requirements:
- Competence in deterministic and probabilistic record-linking techniques.
- Strong background in data modelling.
- Strong coding best practices including version control.
- Experience working in agile sprint-based delivery environments.
- Experience working with customer and transactional data.
- Experience collaborating with a cross-functional teams within the Data and Software space.
- Experience delivering to a large enterprise of stakeholders.
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