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About the Role

Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance, and Regulatory topics. You will support clients' operational teams and compliance departments in defining data needs, analyzing data, deploying data science algorithms and AI agents, and providing strategic decision support.

Responsibilities

Partner with 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 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 that meet real business needs and comply with applicable regulations.
Design and optimize prompting strategies 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.
Develop or strengthen offerings through training, working groups, and internal/external materials.
Contribute to publication strategy (sector blogs, studies, press coverage).
Contribute to business development by defining client needs and participating in sales activities.

Requirements

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.
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.
Experience in Regulatory Obligations Management.
Experience in Control Design & Implementation.
Experience in Risk Assessment & Testing.
Experience in Regulatory Analysis & Strategy.
Experience in Compliance Best Practices.
Experience in Regulatory Interpretation & Controls Mapping.
Experience in Risk & Compliance Transformation.

Skills

Data Science
Generative AI
Machine Learning
Statistics
Data Analysis
Data Engineering
DevOps
Data Transformation
Python
SQL
GenAI application framework
Cloud platforms
Proprietary and open-source model ecosystems
Agentic AI systems
Conversational AI systems / chatbots
LLM
Prompting strategies

Location

New York City
Charlotte
Greater Seattle
San Francisco Greater Bay Area
Los Angeles
Houston
Atlanta
Baltimore
Chicago
Washington D.C.

Work Type

Hybrid
Onsite at client location

Experience Level

2+ years of experience

Education Level

Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.

Salary/Compensations

$98,000-122,000

Benefits

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
One floating holiday
Cell phone stipend
Well-being and professional development programs
Annual Performance Bonus

About the Company

Sia is a next-generation, global management consulting group founded in 1999, born digital.
Our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility.
We are optimists for change and help clients initiate, navigate, and benefit from transformation.
Sia’s AI & Data Business Unit merges cutting-edge Data Science, Generative AI, and advanced digital solutions.
With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment.
Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning.
We offer a vibrant, collaborative environment that nurtures professional growth and empowers shaping the future of AI-driven consulting.

Equal Opportunity

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
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.