Data Scientist Consultant

Job Description

To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance and Regulatory topics and challenges.

Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and compliance departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support.

Key Responsibilities:

• Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs.
• Identify, acquire, process, and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms.
• Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.
• Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses).
• Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control.
• Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes.

Qualifications

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

Preferred Technical Experience

• Experience building agentic AI systems.
• Good understanding of machine learning techniques.
• Good understanding of statistical techniques and concepts.
• Experience with data visualization tools.
• Experience developing conversational AI systems / chatbots.
• Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP).
• Experience deploying models at scale in production environments.

Preferred Industry Sector Experiences

• Regulatory Obligations Management: Analyze and document legal/regulatory requirements to maintain and update the client's RCM obligations library.
• Control Design & Implementation: Design and implement operational controls and compliance frameworks to ensure regulatory adherence.
• Risk Assessment & Testing: Lead RCSAs, thematic reviews, and control testing to identify compliance and operational gaps.
• Regulatory Analysis & Strategy: Interpret emerging regulatory trends and enforcement actions to inform compliance strategy.
• Compliance Best Practices: Develop and maintain compliance best practices.
• Regulatory Interpretation & Controls Mapping: Interpret laws and regulations to assess applicability and map obligations to controls.
• Risk & Compliance Transformation: Support transformation engagements across first-line (controls design/testing) and second-line (risk, compliance) functions.

Additional Information

• Base Salary: $82,000-104,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law.
• Annual Performance Bonus.
• Medical, dental, and vision; company-paid life and AD&D; voluntary supplemental insurance and EAP.
• 401(k) with company match and immediate vesting; HSA and FSA options.
• College savings and student loan repayment programs.
• Paid parental leave; generous PTO, nine company holidays, and one floating holiday.
• Cell phone stipend; well-being and professional development programs.
• Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.