Consultant – Compliance Data Science & AI

Consultant – Compliance Data Science & AI

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.

With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact.

By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting.

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 andcompliancedepartments in defining their data needs, analyzing their data, deploying data science algorithms,and AI agentsandproviding strategic decision support.

These engagements require the implementation of complex analyses to support our clients, notably in:

• Data Analysis for strategic support
• Data Transformation & Acculturation

A few examples of engagements:

Predictive compliance risk monitoring:

Building automated data pipelines and dashboards to track operational metrics and forecast the future health of compliance work streams, enabling proactive risk identification and mitigation.

AI-powered regulatory intelligence:

Designing and deploying a GenAI-driven system that monitors regulatory change in real time, structures obligations, maps them automatically to internal policies and controls, scores compliance gaps, and orchestrates remediation workflows - all with a full source-of-truth audit trail for compliance, risk, and legal teams.

Analytics/ML models for AML compliance:
Built and refined ML models to automate due diligence and  workflows, reducing manual review time. Managed third-party data integration and collaborated with Legal and Engineering to ensure compliant deployment.

As part of the firm's internal activities, your contribution will focus on the following areas:

• Developing or strengthening our offerings through training, working groups, and internal/external materials.
• Our publication strategy (sector blogs, studies, press coverage).  /li
• Business development, by contributing to the definition of client needs andparticipatingin sales activities.

• 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 amountsof structured and unstructured information to discover trends and patterns.
• Use your data analytics and data scienceexpertiseto derive valuable insights from datasets, andbuild 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 meetreal business needs andcomply with applicable regulations (GDPR, EU AI Act, model licenses).
• Design andoptimizeprompting 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,…