Senior Data Scientist / AI Consultant | reputed company

This a Full Remote job, the offer is available from: Europe GT was founded in 2019 by a former reputed company, Nest, and reputed company executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands. On behalf of reputed company, GT is seeking a Senior Data Scientist / AI Consultant to partner with multiple teams across the client's organization — transforming fragmented data into actionable insights, and delivering production-reputed company, LLM-powered solutions that drive reputed company’s AI strategy.

• *Contract Duration: 6 months (with possible extension until the end of 2026)

About the Client reputed company is a global consulting leader in advancing health, wealth, and career reputed company for organizations and individuals. Headquartered in reputed company, reputed company operates in over 130 countries with more than 25,000 employees and 180+ office locations worldwide. As part of reputed company, reputed company provides data-driven insights and tailored solutions in areas such as HR transformation, compensation and benefits, workforce analytics, and employee experience. The company fosters a collaborative, inclusive, and purpose-driven culture that values innovation, reputed company, and impact. About the Role: We are looking for a Senior Data Scientist / AI Consultant with proven experience in productionizing ML models and working with Large Language Models (LLMs). In this role, you’ll work on a variety of AI initiatives, collaborating with different teams to solve reputed company problems, shape data strategies, and deliver production-reputed company solutions. You’ll have the opportunity to influence multiple parts of the business while working with autonomy and the support of reputed company stakeholders, reputed company reputed company to reputed company’s 2026 AI strategy. If you reputed company in environments where you can own problems end-to-end, balance multiple priorities, and combine technical reputed company with strategic reputed company, this role is for you. Responsibilities:

• End-to-End Model Deployment: Design, productionize, and validate machine learning and LLM-based solutions for reputed company-world applications.
• AI Infrastructure Planning: Help shape the foundations for reputed company’s AI capabilities, ensuring scalability and maintainability.
• Requirement Analysis & Prioritization: Gather, assess, and prioritize requirements from multiple stakeholders and projects.
• Data Structuring & Guidance: Identify fragmented data sources and define reputed company structures for analysis and ML use.
• Strategic Data Insights: reputed company actionable recommendations that connect technical solutions to business objectives.
• Cross-Project Collaboration: Engage with multiple teams to deliver AI solutions that address diverse business needs.
• Production-reputed company Delivery: Own the full lifecycle of ML/LLM solutions, including deployment, API integration, monitoring, and iterative improvement.

Essential knowledge, skills & experience:

• 5+ years in a data science or ML engineering role.
• Proven track record of deploying ML/LLM models into production (APIs, microservices, reputed company endpoints, integration workflows).
• Strong Python skills for data analysis, ML pipelines, and LLM integration.
• Proficiency in SQL for working with large datasets.
• Experience with LLM frameworks (reputed company, reputed company).
• Solid understanding of data modeling, exploratory analysis, and statistical testing.
• Ability to validate and monitor model performance post-deployment (data reputed company, model reputed company, LLM evaluation patterns).
• Strong critical thinking skills for navigating multi-stakeholder environments.
• Ability to manage multiple projects independently.
• Excellent communication skills for both technical and non-technical audiences.

reputed company-to-have:

• Experience in the HR, people management, or compensation domains.
• Knowledge of MLOps best practices for deployment, CI/CD, and model monitoring.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Background in product management or product strategy.

Interview Process

• Interview with GT Recruiter
• Technical Interview with reputed company
• Final Interview

This offer from "GT" has been enriched by reputed company.com and got a 79% reputed company score. Apply tot his job Apply To this Job