Senior Data Scientist

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

Role description:

The Senior Data Scientist is responsible and accountable for leading (and overseeing) technical delivery of Arcadis digital and analytical solutions. The Senior Data Scientist will provide expertise through the implementation of these solutions for our customers, maximising the value of their data to solve their most pressing business problems.

The role sits within our Asset Management service area, in the Solutions Delivery group. This group serves large asset owning organisations across water, rail and road, government and other sectors. The solutions we provide are a combination of configured products and services, so whilst experience in these sectors is desirable, a curiosity to understand the “why” behind the problem and the ability to contextualize to the sector, are essential.

The Senior Data Scientist is responsible for the management and delivery of projects, be required to coach other Junior Data Scientists and Junior Analytics Consultants within the Solution Delivery group and contribute to business development and growth. They will play a key client-facing role throughout the project lifecycle, from requirements gathering and solution demonstrations through to results presentation, training, and supporting adoption of delivered solutions.

The Senior Data Scientist will also work closely with other Arcadis teams, including those within the global Solutions Delivery group and Arcadis Product and Technology teams, who are responsible for Arcadis digital products and tooling (such as EDA). Further to this, the Senior Data Scientist will interface with the wider business to provide guidance on future solutions and technical input for analytics solutions and products.

Role accountabilities:

• Driving quality and innovation within data analytics solutions and identifying and disseminating best practice in terms of approaches and tooling. This role includes and surpasses the need to align around our standards and ways of working; it requires active contribution to improving our standards into the future.
• Manage the delivery of analytical projects to clients ensuring assigned projects are delivered on time, within budget, to high quality and in accordance with project scope.
• Develop strong and trusted relationships with client representatives driven by track record and credibility.
• Act as analytics solution architect, ensuring that the design fully meets the client’s needs and wherever possible has the potential to be offered to other clients with minimal re-work to maximise future revenue.
• Manage outputs and quality throughout delivery of a project ensuring all work packages align to the project scope.
• Peer review of reports, dashboards and code produced by colleagues.
• Provide support for business development including:
• Delivery of technical sales support including software demonstrations.
• Writing proposals for client projects and scope changes and convert them to sales.
• Identifying opportunities to generate additional revenue and develop new revenue streams.
• Ensure the services and software delivered fully meets client expectations and delivers value in terms of realisation of business benefits.

Qualifications & Experience:

The ideal candidate will have a background in solution deployment and analytics consultancy, ideally within a physical asset owning company context. They will have good communication and organisational skills. They will have a strong understanding of advanced analytics techniques such as optimisation and general numerical modelling. A keen interest in the latest technologies is important, to help ensure that our work stays on the cutting edge.

More importantly than these technical skills, however, we are looking for someone to be an analytics leader, pushing forward the boundaries of what we do, and the standards expected of the wider analytics team. The successful candidate will need to be resilient and maintain a positive attitude when faced with challenges, be an excellent problem-solver, and be happy to be out of their comfort zone. They will need to have excellent communication skills, not just at a technical level, but also with more business-focused colleagues. They will not shy away from a challenge and will stand up and be counted. They will never be satisfied and always look to find the next improvement in what Arcadis does, and how we do it.

• Experience of delivery of analytical projects in a consultancy environment.
• An effective communicator who is credible, confident and articulate. Able to communicate complex technical detail (both verbal and written) to non-technical audiences.
• Proven ability in presenting methodologies and results to all levels in a business environment.
• Demonstrable skills in data collection and interpretation.
• Experience coaching other technology professionals at various levels.
• Ability to simplify the complex using different communication styles and navigate differing stakeholder points of view.
• Understanding of investment models, assets and systems of assets, including Optimisation (linear and non-linear), Prioritisation and Monte Carlo analysis.
• Experience of working for a large asset owning company, or on projects for such companies, would be advantageous.
• Predictive and/or prescriptive analytics and machine learning.
• Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models.
• Demonstrable use of R, Python, Matlab, SAS, SPSS or similar statistical packages to process data and carry out advanced analytics techniques.
• Experience in advanced data visualisation techniques along with tools such as Qlik, Power BI and open source visualisation tools.
• Experience working with professional coding technologies such as Git and Docker. Experience working with modern cloud technologies such as Azure and Fabric.

Why Arcadis?

We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.

Together, we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality, Diversity, Inclusion & Belonging

We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.