Consultant – Compliance Data Science & AI

Location: Charlotte, NC, United States; hybrid work with at least three days per week from a hirify.global office or approved coworking location between client engagements, plus potential onsite work at client locations. Candidates should live within reasonable commuting distance of a hirify.global office or approved coworking location.

Base salary: $82,000–104,000 annually, plus annual performance bonus.

Company

Global management consulting group combining strategy, management consulting, data science, generative AI, and digital solutions across 48 locations in 19 countries.

What you will do

• Partner with client leadership, engineering, program management, and data teams to define data needs and deliver decision support.
• Identify, acquire, process, and analyze structured and unstructured data to discover patterns and trends.
• Build predictive models, machine learning algorithms, datasets, dashboards, and other analytical solutions for compliance and risk management.
• Design, fine-tune, and deploy LLM-based systems and GenAI applications using models such as GPT, Claude, Gemini, Llama, and Mistral.
• Develop prompting strategies, guardrails, and tool integrations while ensuring compliance with GDPR, the EU AI Act, and model licensing requirements.
• Contribute to internal offerings, publications, training, business development, and client sales activities.

Requirements

• Master’s or Engineering degree, or equivalent, in Computer Science, Engineering, Data Science, or a related quantitative field.
• At least 2 years of experience as a Data Scientist or Data Analyst.
• Strong programming skills in Python and SQL.
• Proficiency with at least one major GenAI application framework, such as LangChain or LlamaIndex.
• Experience with AWS, Azure, or GCP.
• Knowledge of proprietary and open-source model ecosystems, including OpenAI, Anthropic, Mistral AI, or Hugging Face.
• Excellent communication skills and the ability to explain complex technical concepts simply.

Nice to have

• Experience building agentic AI, conversational AI, or chatbot systems and deploying models at scale in production.
• Strong understanding of machine learning and statistical techniques.
• Experience with data visualization tools.
• Understanding of protocols for connecting LLMs to external tools and databases, including the Model Context Protocol.
• Experience in regulatory obligations management, control design and testing, risk assessments, regulatory analysis, compliance best practices, controls mapping, or risk and compliance transformation.

Culture & Benefits

• In-person collaboration through office and client-site work, with coworking options across multiple U.S. markets.
• Medical, dental, vision, life, AD&D, supplemental insurance, and EAP benefits.
• 401(k) with company match and immediate vesting, plus HSA and FSA options.
• Paid parental leave, generous PTO, company holidays, and one floating holiday.
• Cell phone stipend, well-being programs, professional development programs, college savings, and student loan repayment programs.
• Applicants must be legally authorized to work in the United States at the time of application and throughout employment; visa sponsorship is not available now or in the future.