Title: Data Preparation Volunteer
Team: Data
Location: London (hybrid working)
Hours: 7 days, 7 hours per day
Equal Opportunities
As a small charity working to disrupt the global business of human trafficking, gathering intelligence, and delivering campaigns and projects around the world, we recognise that our team is strengthened by the knowledge, experience and insights that people from a wide range of backgrounds bring. As a minimum, we expect all applicants to show a demonstratable commitment to equality and diversity.
Summary
We are seeking 6 dedicated volunteers to assist in the data preparation process for a machine learning project aimed at combating human trafficking and modern slavery. This is a fantastic opportunity for those looking to gain hands-on experience in the field of data science and machine learning while contributing to a meaningful cause.
Responsibilities:
- Data Interpretation: Reading sensitive data and comprehending the context to ensure accurate understanding.
- Data Entry: Accurately filling data into Excel sheets while maintaining high quality standards in a given format.
- Data Validation: Ensuring consistency and accuracy by validating the entered data.
- Data Classification: Properly classifying and organizing data into specified columns.
Requirements:
- Ability to read and comprehend English articles
- Skills in data entry and organization in Excel
- Attention to detail to review and verify content
- Proficiency in the relevant languages to ensure content accuracy
- Good to Have: Familiarity with data preparation, Named Entity Recognition (NER), and Natural Language Classification (NLC) concepts to verify correct classification
Benefits:
- Gain practical experience in data science and machine learning
- Work on a real-world data
- Network with professionals in the field
- Certificate of completion and letter of recommendation
If you are passionate about data science and eager to contribute to a meaningful project, we would love to hear from you!
If you have relevant experience and are interested in applying , simply send your CV and short paragraph explaining why you’re interested to [email protected]
Applications will be accepted on a rolling basis as the position needs to be filled as soon as possible.
Application deadline 18th July.
