Overview:
Position Description:
About Us: In Global Data Insight & Analytics (GDI&A), we harness the power of data and artificial intelligence to navigate Client's through the disruptiveness of the information age. We're a team of innovators who strive to realize the enterprise's goals, reveal hidden opportunities, and achieve data superiority. About You: We're looking for a seasoned Data Scientist with 3+ years of experience in AI/ML, preferably with some experience in Generative AI. You're a humble and collaborative individual who thrives in a fast-paced environment. You're passionate about developing and delivering data analytics and machine learning models that drive business impact. Responsibilities: Acquire deep understanding of the business problems and translate them into appropriate business solutions Act as full stack data scientist to develop and deliver advanced analytics models, including classification, time series, LLM, and more Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results Work independently with minimal guidance, taking ownership of projects and delivering results Foster a collaborative team environment, showing highest respect for team members and their contributions Demonstrate curiosity about data, seeking to understand its underlying patterns and relationships Ensure high-quality data and solutions throughout the development process Communicate analytical results effectively to various audiences
Skills Required:
Generative AI, Predictive modelling & Data exploration.
Skills Preferred:
Experience in Generative AI Experience in legal or regulatory domains 5+ years of experience in data science and analysis, including full-time work and research/academia experience Certifications in Google Cloud Platform (GCP) or other cloud platforms
Experience Required:
3+ years of experience in AI/ML, preferably with some experience in Generative AI Strong skills in data acquisition, algorithm design, model development, and refinement Experience with big data technologies, cloud-based data platforms (e.g., GCP, AWS), and business intelligence tools (e.g., Qlik Sense, Looker, Streamlit, Dash)
Experience Preferred:
Excellent oral, written, and interpersonal communication skills Ability to work collaboratively and drive results in a fast-paced environment
Education Required:
M.S. in Data Science, Business Analytics, Machine Learning, Computer Science or a related quantitative field
Education Preferred:
Ph.D. in Data Science, Business Analytics, Machine Learning, Computer Science or a related quantitative field