Lead Data Scientist

• Partner with stakeholders to define analytical problems, hypotheses, and success criteria.
• Translate ambiguous business questions into well-structured analytical approaches.
• Identify key drivers, risks, and opportunities through data exploration and hypothesis testing.

• Ability to work with unstructured data and apply NLP and LLM ‑ based techniques to solve complex business problems.
• Hands ‑ on experience with Generative AI approaches, including prompt engineering, retrieval ‑ augmented generation (RAG), and evaluation of LLM outputs for accuracy, bias and business relevance.
• Strong understanding of how GenAI and LLM solutions are designed and integrated, and ability to partner with engineering teams to deliver scalable, governed AI solutions.

• Perform exploratory data analysis to uncover patterns, trends, and anomalies.
• Engineer features from structured and unstructured data sources.
• Assess data quality, bias, and limitations in analytical outputs.

• Validate model performance using appropriate metrics and testing approaches.
• Collaborate with data engineering and BI teams to operationalise models and insights.
• Monitor model performance over time and recalibrate as needed.

• Communicate findings, insights, and recommendations to technical and non-technical audiences.
• Translate complex analytical results into clear, actionable business narratives.
• Support decision-making with scenario analysis and impact assessments.

• Stay current with evolving data science methods, tools, and industry trends.
• Identify opportunities to apply advanced analytics and AI to new business problems.
• Promote analytical best practices across the organisation.

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• Master’s Degree or PhD preferred

• Typically 8+ years of experience in data science, advanced analytics, or applied statistics
• Hands-on experience with machine learning and statistical modelling techniques
• Experience working with large, complex datasets in an enterprise environment
• Experience partnering with business teams to drive measurable outcomes

• Strong proficiency in Python, R, or similar analytical programming languages
• Strong foundation in statistics and machine learning
• Ability to frame and solve ambiguous business problems
• Experience balancing model sophistication with interpretability
• Strong critical thinking and problem-solving skills
• Ability to communicate complex concepts clearly and effectively
• Strong collaboration and stakeholder engagement skills
• Commitment to high professional and ethical standards

• Microsoft Certified: Azure Data Scientist Associate (DP‑100) or equivalent
• AWS Certified Machine Learning-Specialty or equivalent cloud ML certification

• Certified Analytics Professional (CAP/CAP‑X) by INFORMS preferred
• TensorFlow or advanced machine learning certifications a plus

• Work in a clean, pleasant, and comfortable office work setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions.
• This position is 100% in office.

Please Note: TriNet reserves the right to change or modify job duties and assignments at any time.

The above job description is not all encompassing.

Position functions and qualifications may vary depending on business necessity.

TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, colour, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation.