Job Description
A partner of Insight Global is looking for a highly skilled and driven Data Scientist to join their growing AI Innovation team. This group builds secure, private, and scalable AI solutions for asset managers, wealth managers, FinTech organizations, real estate investors, insurance firms, and banks. Their mission is to unlock the full potential of AI across investment research, compliance, onboarding, and enterprise intelligence.
This role is ideal for someone who thrives at the intersection of advanced AI models, large-scale data systems, and financial technology—and who is excited to build next‑generation solutions from the ground up.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
-Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field
-Deep expertise with LLMs and transformer-based architectures (e.g., GPT, BERT, RoBERTa; multimodal models)
-Strong proficiency in Python, PyTorch, TensorFlow
-Hands-on experience training, fine-tuning, and deploying LLMs in production environments
-Solid understanding of RLHF, AI fairness, safety, and model robustness
-Proven research background with ability to translate academic innovation into industry applications
-Excellent communication, analytical, and problem‑solving skills
Nice to Have Skills & Experience
-Published academic research in AI/ML
-Experience with cloud AI platforms (AWS, GCP, or Azure) and MLOps toolchains
-Familiarity with observability tools, monitoring frameworks, and compliance standards
-Background in financial systems, quantitative modeling, or trading analytics
-Prior mentorship, public speaking, or technical training experience
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.