Data Scientist

Cushman & Wakefield

14h

About The Position

The Lead Data Engineer helps architect and lead the development of enterprise-scale data platforms and advanced analytics solutions across multiple business units and subject areas. In addition, they assist the project delivery team with scoping and planning integration projects and contribute to the design, implementation, and support of the data artifacts in the data lakehouse and databases. This role combines deep technical expertise with leadership and mentoring responsibilities, driving innovation and best practices across the data engineering function.

Requirements

• Experience in Databricks
• Advanced statistics & machine learning (e.g., causal inference, experimentation, forecasting, NLP, recommender systems, or deep learning—depending on the company)
• Strong programming skills Python or R (production-quality code)
• SQL mastery (complex queries, performance tuning)
• Experience deploying models to production
• Model lifecycle, monitoring, retraining, data drift
• Solid data engineering awareness
• Data pipelines, feature stores, cloud platforms (Azure/ML flow)
• Strong communicator in English, both verbal and written, with the ability to engage effectively across global teams and all levels of the organisation.
• Analytical and curious mindset, driven to solve complex problems and understand intricate technical systems and architectures.
• Organised and detail-oriented, with a diligent, quality-focused approach and a strong sense of ownership.
• Collaborative and proactive, able to build relationships, resolve conflicts, and contribute meaningfully within cross-functional teams.
• Adaptable and dependable, capable of managing multiple priorities, meeting deadlines, and working independently or as part of a team.
• Continuous learner, demonstrating initiative in technical self-improvement and staying current with evolving tools and practices.

Nice To Haves

• Hands-on experience with machine learning pipelines or integrating data engineering with advanced analytics and AI workflows.
• Familiarity with data governance frameworks, including data lineage, cataloging, and compliance (e.g., GDPR, HIPAA).
• Background in delivering data-driven solutions for commercial real estate applications
• Degree in IT, Engineering, computer sciences, business IT degree or in any quantitative discipline

Responsibilities

• Partner with business leadership to identify impactful areas for the application of AI and ML.
• Lead Data science and Data driven Analytics engagements across clients covering various sectors.
• Design and optimize ML models for predictive analytics and prescriptive analytics enabled solutions
• Explore cutting-edge techniques in AI and ML to enhance model performance.
• Maintain generative AI models along with development and updating of code and process documentation
• Partner with data stewards to improve data availability and quality while ensuring compliance
• Partner with technology teams to deploy AI and ML solutions in scalable environments.
• Use business intelligence tools for better visualization and transparency of data driven insights
• Managing a team of data engineers, data scientists, and analytics professionals to deliver data-driven insights and solutions to support business decision-making]
• Track latest AI innovations and build relevant PoCs to further our capabilities
• Participate in organization building, hiring, partnerships, conferences etc.

Benefits

• Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work.
• In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed