About the Job
We are looking for a skilled Lead Machine Learning Data Scientist to join a growing company offering excellent career advancement, benefits, and personal growth opportunities. The role involves developing actionable insights from data to support business goals, collaborating with stakeholders, and using advanced data science techniques to drive operational efficiencies and enhance customer experience.
Essential Duties
- Collaborate with business and technical teams to define objectives and translate them into analytical projects.
- Collect, validate, and analyse structured and unstructured data to identify opportunities.
- Use Python and libraries like PyTorch, scikit-learn, SciPy, pandas, and numpy to develop, test, and implement data science models.
- Create visualisations and reports to communicate findings using tools like Power BI and Python libraries.
- Manage recurring analytic processes and document frameworks for both technical and non-technical audiences.
Requirements
- Masters in Computer Science, Statistics, Mathematics, or related field preferred.
- Minimum of 5 years' experience in data science or statistical modeling.
- Proficiency in Python, SQL, and machine learning libraries (e.g., PyTorch, scikit-learn).
- Experience in data visualization tools (e.g., Power BI, matplotlib).
- Strong communication skills to convey technical insights to non-technical audiences.
- Leadership experience in client-focused environments.
Preferred Experience
- Expertise in NLP and large language models (e.g., BERT, NLTK, spaCy).
- Experience with Snowflake/Snowpark and AWS big data tools (S3, Glue, EMR).
- Background in Financial Technology or Financial Services.
Certifications
- AWS Certifications in AI or ML preferred.
