Data Scientist

About Us

At PARTNER, success starts with the right mindset: connection, compassion, and curiosity. Whether consulting with clients or collaborating with colleagues, these principles guide how we work. We deliver engineering, environmental, and energy consulting, plus design services across the Americas, Europe, and beyond. As a leader in Commercial Real Estate (CRE), we’re 1,400+ professionals strong in 40+ offices. Our mission is simple: create the best home for talented professionals.

If you value delivering exceptional experiences through problem‑solving, coordination, and a mindset of care for clients and colleagues, you’ll feel right t approach has earned us recognition on ENR’s Top 500 Design Firms, Inc. 5000’s Fastest‑Growing Companies, and Zweig’s Best Firms to Work For. Here, your ideas matter, your impact is real, and your work helps shape the future.

Learn more about Partner at

Partner Engineering & Science, Inc. is seeking a highly analytical and business‑savvy Data Scientist. You will be instrumental in transforming financial and operational data into actionable insights that drive strategic decision‑making, improve efficiency, and support client delivery excellence. The ideal candidate will have a strong foundation in data science, statistics, and business intelligence, with a deep understanding of financial and operational metrics relevant to professional services firms.

It’s an exciting time to join, with extensive opportunities to learn and grow!

• Collaborate with IT team and business stakeholders on the full lifecycle of multiple high‑profile projects.
• Develop predictive and prescriptive models to support financial forecasting, resource planning, and operational efficiency.
• Analyze large datasets from ERP, CRM, and time tracking systems to identify trends, anomalies, and opportunities.
• Build and maintain financial models to support budgeting, scenario planning, and profitability analysis.
• Design and automate dashboards and reports using tools like Power BI, Tableau, or Looker.
• Deliver insights to stakeholders through clear visualizations and storytelling.
• Ensure data accuracy and consistency across reporting platforms.
• Collaborate with IT and data engineering teams to ensure data pipelines are robust, scalable, and secure.
• Maintain documentation and data dictionaries for all models and reports.

• Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or related field.
• 5+ years of experience in a data science or analytics role, preferably within a professional services or consulting firm.
• Proficiency in Python, R, or SQL for data analysis and modeling.
• Experience with BI tools (Power BI, Tableau, etc.).
• Familiarity with financial systems (e.g., Net Suite, SAP, Oracle) and operational platforms.
• Knowledge of cloud platforms (Azure, AWS, GCP) is a plus.
• Knowledge of data warehouse technology such as Snowflake, Data Bricks, or Google Big Query.
• Ability to read and modify SQL queries.
• Experience with machine learning techniques applied to financial forecasting or operational optimization.
• Understanding of professional services metrics such as utilization, billability, margin, and revenue recognition.
• Exposure to Agile methodologies and data governance practices.
• Excellent communication skills (internal and external).
• Experience working in a secure environment and familiar with security concepts.
• Ability to work independently and manage multiple priorities in a fast‑paced environment.
• Proven ability to successfully deliver a quality product on time.
• Thrives in dynamic, fast‑paced, and ambiguous environments, demonstrating adaptability and resilience.
• Self‑starter with the ability to work independently, prioritize effectively, and manage multiple projects without direction.
• Exceptional communication skills coupled with strong critical thinking and problem‑solving abilities and the ability to interface confidently with executives.
• Flexible and adaptable work style, with a willingness to adjust to changing priorities and business needs.

• Must be able to read, write, speak & comprehend English.
• Must…