Hybrid Data Science & Insights Lead for Children's Services

Hybrid Data Science & Insights Lead for Children's Services

Full-Time 45000 - 55000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data projects to enhance children's services and create impactful insights.
  • Company: Enfield Council, dedicated to transforming children's services through data.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Join a supportive team focused on improving education and services for children.
  • Why this job: Make a real difference in children's lives using your data skills.
  • Qualifications: Strong SQL, Python, and Power BI skills required.

The predicted salary is between 45000 - 55000 Β£ per year.

Enfield Council is seeking a Data Science and Technical Lead to guide the Children Transformation Programme.

You will lead data linkage across systems, build insights and dashboards, and ensure statutory returns are accurate and timely.

You will work within the Data & Intelligence team in the People Department, with hybrid working and a focus on improving services for children and education.

Strong SQL, Python and Power BI skills are essential.

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Hybrid Data Science & Insights Lead for Children's Services employer: Allscreens Nationwide Ltd

Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.

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Contact Details:

Allscreens Nationwide Ltd Recruitment Team

We think you need these skills to ace Hybrid Data Science & Insights Lead for Children's Services

Data Linkage
Insights Development
Dashboard Creation
Statutory Returns Management
SQL
Python
Power BI