Lead Data Scientist

You will be joining InvestCloud’s newly formed AI, Data & Analytics team — the group responsible for driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients through enhanced intelligence.

This is a unique opportunity to contribute to a greenfield AI ecosystem, integrating advanced Machine Learning and Generative AI capabilities directly into InvestCloud’s product experiences. The team is building for scale, impact, and long-term innovation across the enterprise.

Key Responsibilities

• Implement applications powered by Generative AI and Machine Learning models, deploying them into production environments
• Develop and maintain datasets, features, and data pipelines that support ML model training, evaluation, and deployment
• Analyze large datasets to identify patterns, trends, and key insights that drive business decisions
• Interpret Machine Learning outputs and communicate findings to both technical and non-technical stakeholders
• Stay current with advancements in Machine Learning, NLP, and Generative AI, evaluating opportunities to integrate new capabilities
• Collaborate with third-party AI solution providers to assess, integrate, and optimize their technologies for InvestCloud’s needs
• Work cross-functionally to embed AI and ML capabilities into the InvestCloud platform, enhancing advisor and client experiences

Required Skills & Experience

• MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field — or equivalent practical experience
• 4+ years of professional experience in Data Science, Machine Learning, and AI
• High proficiency in Python for model development and productionization
• Experience with Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g., LangChain)
• Hands-on experience working with large language models, Generative AI, and agentic frameworks
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
• Experience with modern database technologies (Oracle, PostgreSQL)
• Experience working with cloud-scale data tools such as Snowflake and/or Databricks
• Working experience developing, deploying, and monitoring ML models in production
• Experience with Git, Docker, and modern development workflows
• Strong written and verbal communication skills, including with non-technical audiences
• Ability to operate in a fast-paced environment and manage multiple projects simultaneously
• Collaborative team player who fosters open communication, knowledge sharing, and mutual respect

Preferred Skills

• Experience with Vector Database technologies
• Experience with cloud platforms such as AWS, GCP, or Azure

What We Offer

Join a diverse and international cross-functional team — including data scientists, software engineers, product managers, and business analysts — building cutting-edge capabilities to power InvestCloud’s next-generation advisor and client experience.

You will have the opportunity to work on high-impact AI initiatives, influence product strategy, and help define the future of AI in wealth technology.

Our Values

• Client Connected
• Human Centered
• Technology Forward
• Respect + Integrity
• Excellence

Salary & Benefits

The actual salary will vary based on education, experience, skills, and abilities, as well as internal equity and alignment with market data. Salary may also be adjusted based on geographic location.

Salary Range: $190,000 – $210,000

Benefits include:
Medical/Rx, dental, vision, disability, and life/AD&D insurance; FSA and HSA accounts; EAP; health advocacy; voluntary ancillary plans (accident, critical illness, hospital indemnity, legal, identity theft, auto/home, pet insurance); 401(k) with company match; and paid time off. #LI-HJ1