Senior Data Scientist - Drive Strategic Insights (Hybrid)

Sopra Steria

Newport

Hybrid

GBP 30,000 - 35,000

Full time

4 days ago
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Benefits offered by this job

25 days annual leave
Health cash plan
Life assurance
Pension

Job summary

Sopra Steria is seeking an enthusiastic Data Scientist/Analytics professional to centralise data, develop dashboards and predictive analytics for senior leaders. You will work with Python, SQL and Power BI in a hybrid Newport-based role, collaborating with a team to transform data into actionable insights for internal stakeholders and clients.

You will design forecasting solutions and improve data quality, leveraging modern cloud-based analytics platforms while supporting a data-led culture

Qualifications

  • Experience analysing and presenting complex data to support business decisions.
  • Strong SQL skills and large dataset handling.
  • Proficiency in Python for data analysis, automation and modelling.
  • Experience developing dashboards and visualisations in Power BI.

Responsibilities

  • Develop and enhance reporting, dashboards and analytical products for senior leaders and customers.
  • Centralise, cleanse, validate and model data from multiple systems in data lake environments.
  • Build and maintain data pipelines, automated solutions and analytical tools using Python, SQL and Power BI.
  • Design and deliver forecasting, planning and predictive analytics to support decisions.
  • Identify opportunities to improve data quality, automate reporting and enhance analytics capabilities.

Skills

Python
SQL
Power BI
Azure
Data Lake

Tools

Microsoft Fabric
Azure Data Factory

Job description

Sopra Steria is seeking an enthusiastic Data Scientist/Analytics professional to centralise data, develop dashboards and predictive analytics for senior leaders. You will work with Python, SQL and Power BI in a hybrid Newport-based role, collaborating with a team to transform data into actionable insights for internal stakeholders and clients.

You will design forecasting solutions and improve data quality, leveraging modern cloud-based analytics platforms while supporting a data-led culture

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