Data Scientist/ Analyst

**Joining Arup**

At Arup we’re dedicated to sustainable development and to do socially useful work that has meaning. Our purpose, shared values and collaborative approach has set us apart for over 75 years, guiding how we shape a better world.

We solve the world's most complex problems and deliver what seems impossible, with curiosity and creativity. We’re a thriving and growing organisation which offers you many possibilities to shape a better world, and your future.

Our growing **Digital Advisory, Software Development, Data, Geospatial team** in Toronto, Ontario, Canada is seeking to recruit a **Data Scientist / Analyst** to join us. Our regional team is made up of a global group of geospatial professionals, software developers and digital consultants within Arup. We use our collective talents to incubate and deliver technology-led solutions to clients, and in doing so help transform the way that cities, buildings and physical networks are planned and delivered, to ensure a better world for all.

**The opportunity**

At Arup, you belong to an extraordinary collective - in which we encourage individuality to thrive. Our strength comes from how we respect, share and connect our diverse experiences, perspectives and ideas.

You will have the opportunity do socially useful work that has meaning - to Arup, to your career, to our members and to the clients and communities we serve.

Working as part of a growing team in Canada, and as the first Digital team member located in our Toronto office, you will be leading and/or delivering technical digital solutions related to environmental, planning and infrastructure aspects of local, national and international projects. You will work as part of a diverse, digitally minded team on projects of various types and scales, regularly cross-collaborating with other multi-disciplinary Arup teams and working closely with our clients to advise and to help shape a better world, one project at a time.

**Is this role right for you?**
- Undergraduate Degree or Certificate / Diploma in Data or Information Sciences, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), GIS, Computer Science, Full-Stack Software Development, Engineering, Information Technology or similar digital discipline with a focus on data.
- At least three or more (3+) years of experience in providing data analytical techniques and automation solutions to business
- Solid experience with database architecture including defining data standards, database design and integration with proprietary project systems
- Experience working in SQL with experience in relational databases such as MS SQL Server, MySQL, PostgreSQL, or OracleProficiency with analytic tools such as Python, R and/or FME for data analysis, data engineering and automation tasks

Experience creating automated data workflows using commercial-off-the-shelf / low-code / no-code options such as Power Automates or scripting
- Ability to synthesize complex datasets and transform into visualizations using tools such as PowerBI, Tableau or other out of the box technology.
- Experience in requirements gathering, business process modeling and translating business needs into technical solutions, and ensuring alignment with overall project objectives.
- Awareness / basic knowledge of emerging technologies such as machine learning, AI and/or deep learning to enhance data processes
- Strong communication skills with the ability to engage with both technical and non-technical stakeholders
- Enjoys working as part of and actively contributing to a positive, inclusive, and supportive team culture.

**Preferred Qualifications**

The below qualifications are not mandatory, but are considered an asset:

- Master’s Degree or Advanced Certificate / Diploma in Degree or Post-Graduate Certificate / Diploma in Data or Information Sciences, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), GIS, Computer Science, Full-Stack Software Development, Engineering, Information Technology or similar digital discipline with a focus on data.
- Experience working with / knowledge of data and information and document management server technologies such as AutoDesk Construction Cloud, ArcGIS Enterprise, ProjectWise, SharePoint, Aconex, Unifier, Asite among others.
- Good working knowledge or experience in Agile concepts to support the successful delivery of digital projects.
- Experience working with cloud technologies such as Azure, AWS, DataBricks
- Applied experience with / ability to leverage machine learning, AI and/or deep learning to enhance data processes
- Experience with scoping, planning and delivery of Proof-of-Concept (POC) and/or Minimum Viable Product (MVP) for research and development or conceptual test use cases.
- Working proficiency in reading, writing and speaking in both of Canada’s official languages - English and French.

**What we offer you**

At Arup, we care about each member’s success, so we can grow together.

Guided