Location
Sheffield

Hours
Full Time

Salary
Negotiable

About the Role
Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. With over 34,000 people across more than 30 countries, we are dedicated to improving quality of life by solving complex challenges together. The Senior Data Scientist will lead and oversee the technical delivery of Arcadis digital and analytical solutions within our Asset Management service area, part of the Solutions Delivery group. This group serves large asset-owning organisations across sectors including water, rail, road, and government. The role involves managing and delivering projects, coaching junior team members, and contributing to business development and growth. You will play a key client-facing role throughout the project lifecycle, from requirements gathering and solution demonstrations to results presentation, training, and supporting adoption of delivered solutions. Collaboration with global Arcadis teams and product groups is essential to provide guidance on future solutions and technical input for analytics products. The Senior Data Scientist will drive quality and innovation in data analytics solutions, manage project delivery to ensure timely, budget-compliant, and high-quality outcomes, and act as an analytics solution architect to maximise client value and future revenue potential. You will also support business development through technical sales, proposal writing, and identifying new revenue opportunities, ensuring delivered services and software meet client expectations and realise business benefits.

Experience
- Proven experience delivering analytical projects in a consultancy environment, ideally within physical asset-owning companies or related sectors.
- Strong background in solution deployment and analytics consultancy.
- Demonstrable skills in data collection, interpretation, and advanced analytics techniques including optimisation, numerical modelling, predictive and prescriptive analytics, and machine learning.
- Practical experience with statistical packages such as R, Python, Matlab, SAS, or SPSS.
- Experience with advanced data visualisation tools like Qlik, Power BI, and open source visualisation tools.
- Familiarity with professional coding technologies such as Git and Docker.
- Experience working with modern cloud platforms such as Azure and Fabric.
- Ability to communicate complex technical details effectively to both technical and non-technical audiences.
- Experience coaching and mentoring technology professionals.
- Understanding of investment models, asset systems, optimisation (linear and non-linear), prioritisation, and Monte Carlo analysis is advantageous.

About you
- A resilient and positive leader who embraces challenges and thrives outside their comfort zone.
- Excellent problem-solving skills and a proactive approach to continuous improvement.
- Strong communication skills, credible and confident in presenting methodologies and results at all business levels.
- Curious and passionate about staying at the cutting edge of technology and analytics.
- Able to simplify complex concepts and navigate differing stakeholder perspectives.
- Committed to driving innovation and raising standards within the analytics team.

Qualifications
- Strong understanding of advanced analytics techniques and numerical modelling.
- Proven ability to manage and deliver projects on time, within budget, and to scope.
- Effective organisational and leadership skills.
- Demonstrated ability to contribute to business development and growth through technical expertise and client engagement.