Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure.
Analyze large, diverse datasets to identify trends, patterns, and opportunities for operational or project improvements.
Develop predictive models and statistical analyses to inform planning, forecasting, and decision-making.
Create dashboards and visualizations that communicate insights to both technical and non-technical stakeholders.
Apply AI and machine learning methods, including generative AI, to support data and AI use cases.
Collaborate with business SMEs, data engineer, and the Digital Practice group to translate analytics into actionable recommendations.
Contribute to the growth of Parkhill’s data science capabilities.
Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field
7+ years in data science, analytics, or AI roles
Experience with AEC, engineering, or consulting environments
Strong proficiency in Python or R, including relevant ML libraries
Expertise in SQL and experience with data visualization tools (Power BI, Tableau)
Familiarity with cloud platforms (Azure, AWS) for analytics and model deployment
Experience with generative AI frameworks

Life Balance: hybrid/flexible work schedules, flexible work environment, generous PTO, paid holidays.
Investing in Your Future Growth: specialized training, continuing education, professional licensing, intern development programs, University of Parkhill.
Competitive Benefits: Multiple health plan options, FSA for dependent care, HSA contributions, employer 401k contribution, employer-paid basic life, short/long term disability coverage, performance bonuses.

Senior Data Scientist

Key skills