Data Science Lead
London, United Kingdom
Company Description
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.
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.
We're one global team driven by our common purpose to deliver a better world. Join us.
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.
Key Responsibilities:
- 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.
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.
Personal Attributes:
- A results-driven leader with the ability to balance client expectations, team dynamics, and project goals.
- Strong client-facing skills and the ability to build trusted relationships with key stakeholders.
- Ability to manage multiple projects simultaneously while maintaining a high standard of quality.
- Passion for continuous learning and staying ahead of industry advancements in data science and AI.
Additional Information
About AECOM
AECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM.
Freedom to Grow in a World of Opportunity
You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed.
You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients.
AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too.
Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.
We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address ReasonableAccommodations@aecom.com if you would like to apply through the Disability Confident Interview Scheme.
All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Computer Science Consulting Consulting firm Data Analytics Data pipelines Engineering GCP Google Cloud Hadoop Machine Learning Mathematics Matplotlib ML models NumPy Pandas Pipelines Predictive modeling Python R Spark SQL Statistics
Perks/benefits: Career development Equity / stock options Startup environment
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