Senior Data Scientist

Qualifications and Experience required 5-8 years of experience as a Data Scientist with expertise in machine learning and AI technologies.Proficient in Python and experience with deep learning frameworks such as TensorFlow.Hands-on experience with machine learning algorithms, including gradient boosting, deep learning, and random forests.Expertise in working with Large Language Models and Transformer-based architectures (e.g., BERT, GPT, etc.).Experience with distributed computing frameworks like Hadoop or Spark.Proven experience mentoring and leading junior data scientists.Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Main Responsibilities will include The responsibilities will include, but are not limited to, the following key deliverables:Lead the design and development of advanced AI and machine learning models to solve complex business challenges.Work closely with data scientists and engineers to ensure smooth integration and deployment of AI solutions.Analyze large datasets to uncover trends and build predictive models.Mentor and guide junior data scientists, promoting best practices in AI and machine learning.Build and refine AI features to support business strategies and growth. Advantageous:Experience with Microsoft SQL and the Microsoft BI technology stack (SSIS, SSAS, SSRS, Power BI).Exposure to financial services, legal industries, or business analytics.Strong knowledge of data warehousing, ETL processes, and advanced data analysis.