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Data Scientist

2 weeks ago

Toronto, Canada Arcadis Full time

**Role: Data Scientist**

**Location: Toronto**

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

We are more than 36,000 people, in over 70 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**:
We deliver digital products and solutions to help our customers manage the life cycle of their high value assets. We enable more predictable, efficient and sustainable business operations through transforming data in to actionable intelligence.

We deliver both commercial off the shelf product capability, and enterprise level solutions. A key part of our engagement model, particularly for positioning our enterprise solutions, is to provide focussed consulting services for our customers. This targeted advisory engagement includes helping our customers develop digital asset management strategies, transformation blueprints, and solution requirements sets.

Intelligence is a digital solutions and products oriented business area, and therefore all our consulting activity is aimed at positioning for, and supporting the implementation of value-adding digital products and solutions, towards the goal of securing enduring reoccurring revenues.

We have formed a global data science and analytics group, as part of the Intelligence GBA Global Solutions Delivery Organization - covering:

- Managed Service Contracts, Systems Integration Services, “Woven” - Telecommunications Network Services, Transportation Tolling Solutions, Urban Transportation Solutions, Asset Management, Enterprise Asset Management, EAM, Enterprise Decision Analytics (Asset Investment Planning, AIP)

**Role accountabilities**:
As a Data Scientist, you will support the technical delivery of various analytics projects, working closely with experienced Data Scientists and other team members. You will contribute to the development of Analytics Solutions for our clients, gaining hands-on experience in advanced analytics techniques, machine learning, and project management.

In this role, you’ll assist in project tasks, including requirements gathering, data processing, and results presentation. You’ll have opportunities to learn by working on client-facing activities such as demonstrations and training, under the guidance of senior team members.

You will also collaborate with other teams within Intelligence, particularly Solutions Delivery and Product & Technology teams, to help develop innovative analytics solutions. Additionally, you’ll have the chance to interface with the broader business, contributing ideas and learning how to provide technical input on analytics products and solutions.

Core responsibilities include:

- Contribute to Project Delivery: Support in the delivery of analytical projects, ensuring tasks are completed on time, within budget, and to high quality, while learning to align work with project scope.
- Assist in Solution Design: Work with other Data Scientists to help design analytics solutions that meet client needs, gaining exposure to creating scalable solutions that can be adapted for other clients.
- Support Quality Management: Participate in quality checks throughout project delivery, learning to ensure all work aligns with the project scope.
- Collaborate and Learn: Take part in peer reviews of reports and code, contributing to and learning from the work of colleagues.
- Business Development Support: Assist in business development activities, including helping with software demonstrations, supporting proposal writing, and learning to identify opportunities for generating revenue
- Client Satisfaction: Support efforts to ensure that services and software delivered meet client expectations and deliver value, learning to understand and contribute to the realisation of business benefits.

**Qualifications & Experience**:
Essential Skills:

- An effective communicator who is credible, confident and articulate. Able to communicate complex technical detail to non-technical audiences.
- Demonstrable skills in data collection and interpretation.
- Demonstrable use of R, Python, Matlab, SAS, SPSS or similar or other 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
- Proven ability in presenting methodologies and results to varying levels of technical competency
- Excellent communication (verbal and written) and organisational skills.

Desirable skills:

- Experience of delivery of analytical projects in a consultancy environment.
- Predictive and / or prescriptive analytics and machine learning.
- Sensitivity and scenario analysis of analytical models.
- Understanding of investment models, asse