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There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
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Job Description
We are seeking a highly experienced and motivated Data Science Lead to join our consultancy team. As a Data Science Lead, you will be responsible for leading the development and implementation of advanced data science solutions for our clients across various industries. You will be a key player in shaping strategic decisions, delivering actionable insights, and driving innovation in the data science domain. In this role, you will collaborate with cross-functional teams, including clients, business stakeholders, and technical experts, to deliver impactful data-driven solutions.
This is an exciting opportunity for a seasoned Data Scientist who enjoys solving complex business problems, mentoring teams, and working with diverse client environments.

QUALIFICATIONS

• Education: Master’s or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Experience: 5+ years of experience in data science or related fields, with at least 2 years in a leadership role, ideally within a consultancy or client-facing environment.
• Proven experience in designing and implementing machine learning models and data science solutions for clients.
• Strong proficiency in programming languages such as Python, R, and SQL.
• In-depth experience with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, etc.).
• Solid understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
• Strong expertise in the full data science lifecycle: data collection, preprocessing, model development, deployment, and monitoring.
• Experience in leading teams, managing client relationships, and providing actionable insights to senior leadership.
• Exceptional communication skills with the ability to present complex technical concepts to non-technical stakeholders.
• Strong problem-solving and critical thinking abilities, particularly in fast-paced and dynamic environments.

• Lead and manage end-to-end data science projects for clients, from problem scoping and model development to deployment and ongoing optimization.
• Collaborate closely with clients to understand their business needs and translate them into tailored data science solutions.
• Apply advanced statistical and machine learning techniques to solve client-specific challenges, including predictive modeling, data analytics, and optimization.
• Guide and mentor junior data scientists and analysts, providing technical leadership and fostering professional development within the team.
• Develop and implement scalable data pipelines, ensuring the integrity and quality of data across client projects.
• Present complex data science concepts and insights to non-technical client stakeholders, providing actionable recommendations that drive business value.
• Work alongside other consultants and subject-matter experts to design data-driven strategies that meet client objectives.
• Lead and facilitate workshops, training sessions, and client-facing presentations to communicate results and solutions effectively.
• Ensure adherence to best practices in project delivery, including timelines, methodologies, and client engagement.
• Stay up-to-date with industry trends and innovations in data science, machine learning, and AI to continuously improve consultancy offerings.
• Develop and maintain strong relationships with key stakeholders, including C-level executives, to ensure long-term client satisfaction and project success.
• Contribute to the development of new service offerings and methodologies to expand the company’s data science capabilities and market presence.
• Oversee the integration of data science solutions with existing client systems and processes, ensuring seamless adoption and maximum value realization.
• Conduct regular performance evaluations of data science models and solutions, implementing improvements and optimizations as needed.
• Collaborate with the sales team to identify new business opportunities and contribute to proposal development for data science projects.