Location: London, Bristol, Bath and nearby areas – Remote (Course Delivered Virtually)

Term: Freelance: Approx. 16 hours (core hours are 5:30pm – 9:30pm – Tuesday, Wednesday and Thursday)

Salary: £25ph

Contract type: 6 Months Fixed term

Coding Black Females

Coding Black Females was established in 2017 to address the underrepresentation of black women in tech. We are a non-profit organisation with the aim to grow and inspire the community of black female developers. We are the largest network of black female developers in the UK.

Mission

Our mission is to grow the community of black women in software development and technical roles, from entry level to executive level. We will remove the barriers to enter the industry and progress within roles.

Aim

Our main aims are:

• Build the community by removing barriers, showcasing talent and making our role models visible
• Provide opportunities for our community to learn new skills, and share their skills with other people in the community
• Support the community through mentoring, providing a safe space for discussions and development

Job Description

Coding Black Females deliver bootcamps ranging from 6 weeks to 30 weeks. We are looking for a Teaching Assistant to support one or more of our bootcamps from start to finish to ensure their successful delivery.

We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities in data-driven roles.

Teaching Assistants should have a strong understanding of data science and a desire to support others in their learning. We are also open to meeting candidates who are developing their expertise in data science and have a passion for empowering others. You should be an effective communicator who can explain concepts clearly and encourage learner engagement.

The goal is to play a key supporting role in the delivery of our technical training programmes, enabling our members to gain in-demand data science skills.

The majority of the course material is provided, though there may be opportunities to contribute to workshop content and learner resources.

Responsibilities and Expectations

This is a varied role, and you will need to be flexible, proactive, and willing to take on a range of tasks to support the successful delivery of the Data Science Bootcamp.

• Use existing course material and Coding Black Females systems to support lesson objectives and prepare for sessions. We typically use tools such as Google Docs, Zoom, and a Learning Management System (LMS).
• Review the curriculum ahead of each session to familiarise yourself with the content and prepare to meet learners’ needs.
• Provide regular updates to the Lead Instructor on learner progress, engagement, and any issues or concerns.
• Support delivery of live sessions, webinars, and workshops—either in groups or one-to-one with learners.
• Assist in observing and evaluating the training programme by sharing insights and feedback on learner experience.
• Help assess the overall effectiveness of the bootcamp by contributing to feedback processes and suggesting areas for improvement.

Areas of Knowledge

We are looking for individuals who have working experience in or are comfortable supporting (or willing to learn) in the following areas:

• Programming for Data Science (e.g., Python with Pandas, NumPy, R)
• Statistical Analysis and Hypothesis Testing
• Data Cleaning, Preprocessing, and Feature Engineering
• Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau)
• Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning)
• Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks)
• Model Evaluation and Validation
• Big Data Technologies (e.g., Spark, Hadoop – conceptual understanding)
• Database Querying (e.g., SQL)
• Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML)
• Ethics in Data Science and AI

Person Specification:

• Experience supporting data science training or mentoring professionals in a data-focused capacity
• Strong ability to develop learners from intermediate to more advanced levels
• Experience in supporting the design or adaptation of course material to meet real-world data science needs
• Comfortable assisting with live training sessions and adapting to a range of learning styles
• Knowledge of current data science methodologies, tools, and platforms
• Excellent communication and presentation skills
• Strong organisational and time-management abilities
• Demonstrated passion for empowering underrepresented communities through education