About the role
Requirements:
- 5+ years of experience as a Data Scientist or in related roles.
- Bachelor's degree in Computer Science or a related technical field.
- Deep understanding and some exposure to new Gen AI Open-source Models.
- At least 5 years of programming experience in software development and Agile process.
- At least 5 years of Python (or equivalent) programming experience to work with ML/NLP models.
- Experience in setting up supervised and unsupervised learning ML/NLP models, including data cleaning, data analytics, feature creation, model selection, ensemble methods, and performance metrics visualisation.
- Experience in ML/NLP development pipelines of large data sets, both structured and unstructured.
- At least 2 years' experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarisation, Topic Modelling, Dialogue Systems, Sentiment Analysis, OCR text processing.
- Knowledge and hands-on experience working with OCR products.
Desired Skill:
- Master's or bachelor's degree in Computer Science/Data Science, or a related technical field.
- Collaborating with a diverse set of partners and stakeholders from various lines of Business.
- Highly motivated, proactive and a self-starter; strong sense of ownership; ability to create and execute plans without daily oversight.
- Critical thinker; ability to analyse problems and identify issues and provide solutions.
- Ability to navigate the enterprise data assets across multiple functions.
- Highly organised.
- Effectively prioritises and balances multiple efforts in a fast-paced environment.
- Excellent communication and Presentation skills.
- Analytical abilities; great problem-solving.
- Client-focused.