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Data Scientist – Predictive Modeling & Automation

CIAL Dun & Bradstreet

Nouveau
Mid 🇬🇧 English
Python pandas regular expressions data pipelines SQL T-SQL stored procedures database management Power BI Linux XGBoost

Description du poste

About the role

We are looking for a Data Scientist to lead strategic data science projects that automate processes and drive business decisions. You will apply predictive models and advanced analytics in a fast‑moving corporate environment, collaborating with cross‑functional teams to turn data into actionable insights.

Key responsibilities

  • Identify and integrate valuable data sources, automate ETL pipelines, and conduct data quality analysis.
  • Automate manual business analysis tasks and repetitive operational flows.
  • Analyze large structured and unstructured datasets to uncover patterns and trends.
  • Design, develop, and deploy predictive models (e.g., XGBoost) for forecasts, contract renewals, goal achievement, and product success.
  • Integrate AI solutions into business processes while ensuring data security and cybersecurity compliance.
  • Present insights through clear visualizations using Power BI or similar tools.
  • Lead data science projects from problem definition to implementation and communicate results to technical and non‑technical stakeholders.
  • Collaborate with agile teams using Scrum and document data use cases.

Required profile

  • 3+ years of experience as a Data Scientist or Data Analyst.
  • Strong background in data mining, forecasting, and building predictive/statistical models.
  • Experience working with Linux environments (Debian, Ubuntu or similar).

Required skills

  • Python (pandas, regular expressions, data pipelines)
  • SQL (complex joins, stored procedures, T‑SQL)
  • Database management
  • Power BI or other data visualization tools
  • Linux operating systems
  • Predictive modeling tools such as XGBoost

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