Description

You will apply advanced data science techniques to solve complex business problems using machine learning and statistical analysis.

This role is on-site.

Responsibilities

• Develop and implement machine learning models using Python or R.
• Engineer prompts and fine-tune large language models (LLMs) like GPT or Llama.
• Analyze large datasets using statistical methods and data mining techniques.
• Visualize data insights using tools like Tableau or Power BI.
• Work with Big Data platforms such as Hadoop.

Required Skills

• 5+ years of experience as a Data Scientist, preferably in Banking.
• Proficiency in Python or R with Pandas and Scikit-learn.
• Hands-on experience with TensorFlow and PyTorch.
• Experience with large language models, including fine-tuning and prompt engineering.
• Strong knowledge of statistics and machine learning principles.
• Experience with data visualization tools (Tableau, Power BI).
• Familiarity with SQL and relational databases.
• Experience with Big Data Platforms (Hadoop).

Preferred Skills

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.

Key Skills

Education

Bachelor's or Master's degrees