- Use statistical and machine learning techniques to analyze large datasets related to financial performance, cost estimation, and budget forecasting.
- Develop predictive models to identify trends, patterns, and risks in financial data.
- Create clear and concise data visualizations, dashboards, and reports to communicate complex financial insights to stakeholders.
- Utilize tools such as Power BI to present data in an accessible and meaningful way.
- Identify process improvement opportunities within the finance department through data-driven insights.
- Work closely with multidisciplinary teams to implement data-driven solutions that enhance efficiency and reduce financial risks.
- Collaborate with financial analysts, project managers, and other departments to understand data needs and provide analytical support.
- Clearly communicate results and recommendations to non-technical stakeholders.
- Ensure data integrity, accuracy, and compliance with relevant regulations and industry standards.
- Develop and implement data governance policies within the finance department.
- The opportunity to work on a variety of internal and external projects, both in Canada and worldwide;
- A stimulating work environment where work-life balance is important;
- Access to diverse training programs focused on individual development and interests;
- A competitive salary, flexible benefits, stock options, and a defined contribution pension plan;
- A work environment focused on health and safety.
- Bachelor's degree in data science, statistics, computer science, or related field, or equivalent experience.
- Proven experience as a Data Scientist with a focus on financial analysis.
- Strong programming skills in languages such as Python, R, and SQL.
- Knowledge of statistical analysis, machine learning, and data visualization.
- Experience working with financial datasets and understanding of accounting principles.
- Proficiency in using data visualization tools such as Power BI.
- Excellent communication and collaboration skills.
- Knowledge of Azure Machine Learning.
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109479 Scientifique de données principal(e) - Not specified, Canada - AtkinsRéalis
Description
Senior Data Scientist
As a Senior Data Scientist, you will play a crucial role in using data analysis and machine learning techniques to guide informed decision-making within AtkinsRéalis' financial operations. You will collaborate with financial analysts, project managers, and other stakeholders to extract valuable insights from financial data, enabling the company to optimize its financial processes and achieve its strategic goals.
Your role within the team
Data analysis and modeling:
Data visualization:
Process optimization:
Collaboration and communication:
Data governance and compliance:
Why choose AtkinsRéalis as an employer?
Because we offer:
The Senior Data Scientist we are looking for
If the challenge interests you, do not hesitate! Send us your CV and join us in shaping a better future for our planet and its inhabitants.
At AtkinsRéalis, we are looking to hire individuals with diverse characteristics, backgrounds, and perspectives. We firmly believe that world-class talent makes no distinction based on gender, ethnic or national origin, identity and sexual orientation, age, religion, or disability, but rather thrives on these differences.
AtkinsRéalis cares about your privacy. AtkinsRéalis and other affiliates of AtkinRéalis (commonly referred to as 'SNC-Lavalin') are committed to protecting your privacy. Please refer to our Privacy Notice on our Careers site to learn more about how we collect, use, and transfer your personal data.
By providing your personal information to AtkinsRéalis, you confirm that you have read and accept our Privacy Notice.
As AtkinsRéalis is an international company with offices worldwide where thousands of employees are located, and its clientele is international and national, we must be able to provide services in French and English. Therefore, a good command of both languages is required due to the nature of the professional services you will provide.
Location: Montréal, QC.
