Inspiring CS Teacher (Python) with Innovation Focus

Clarence Recruitment

Leicester

On-site

GBP 34,000 - 50,000

Full time

14 days+
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Job summary

Clarence Recruitment is helping a local Leicester school recruit a Teacher of Computer Science. The role covers Key Stages 3 and 4, with a focus on programming, Python, and developing students’ logical thinking in a supportive environment.

The post is full-time, starts New Term Start, and offers the MPS/UPS scale dependent on experience. Applicants must hold QTS or an equivalent teaching qualification and be ready to inspire learners across ability ranges.

Qualifications

  • Holds QTS or an equivalent recognised teaching qualification.
  • Experience delivering Computer Science within secondary education.
  • Confident teaching Python programming.
  • Demonstrated effective classroom and behaviour management.
  • Passion for technology and digital innovation.
  • Ability to inspire learners across a range of abilities.
  • Committed to improving student progress and attainment.

Responsibilities

  • Deliver lessons in Key Stages 3 and 4, including Python theory and practicals.
  • Employ effective classroom and behaviour management strategies.
  • Collaborate with colleagues and contribute to the computer science department.
  • Support learners across a range of abilities and foster digital innovation.
  • Continuously improve student progress and attainment.

Skills

QTS
CS in secondary
Python programming
Classroom management
Digital innovation
Inspire learners
Student progress

Education

Qualified Teacher Status (QTS)

Job description

Clarence Recruitment is helping a local Leicester school recruit a Teacher of Computer Science. The role covers Key Stages 3 and 4, with a focus on programming, Python, and developing students’ logical thinking in a supportive environment.

The post is full-time, starts New Term Start, and offers the MPS/UPS scale dependent on experience. Applicants must hold QTS or an equivalent teaching qualification and be ready to inspire learners across ability ranges.

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