Requisition ID: 201793

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Data Scientist, ESG Analytics will be responsible for solving complex ESG problems through the use of analytical, statistical, predictive and data visualization techniques. Mainly responsible for the calculation of investment emissions to support the Banks achievement of their net zero commitment. The incumbent will work closely with the Director, ESG Data & Analytics and other internal stakeholders to turn client-level data into critical insights and knowledge that can be used to make optimal business decisions across different areas of the Bank. Problem-solving skills and programming knowledge are required to quickly draw relevant insights from multiple data sources to support Bank strategies.

Is this role right for you? In this role, you will: 

• Conduct data analysis to provide actionable insights to decision-makers in the Bank. Mainly, invement emissions analytical calculations to support the Bank to meet its emission reduction target commitments (Scope 3 emissions, category 15: finance and faciliated emissions)
• Present insights and depict the rationale of findings in easy-to-understand terms for the business or senior management, including the use of data visualization techniques and dashboards.
• Develop innovative and effective approaches and apply statistical and predictive modeling techniques to solve analytics problems and communicate results and methodologies to business clients and senior members of the analytics team.
• Stay current on trends on financed and facilitated emissions standards (PCAF, GHG, etc.), data science and data product space, and translate those trends into actionable strategic and tactical objectives for the company.
• Contribute to a culture of curiosity and innovation inside and outside of the company through presentation, demonstration and leading by example.

Do you have the skills that will enable you to succeed in this role?  We’d love to work with you if you have experience with:

• The incumbent supports a wide range of analytical activities, and must conduct unbiased, client-focused analytics
• Ensuring that results do not impede client acquisition/retention, business line growth and profitability activities.
• Strong knowledge of the Bank’s products and services.
• Solid analytical and data wrangling skills. Must be comfortable working with large amounts of information and translating data into clear and concise findings. 
• Strong communication and interpersonal skills. 
• Strong programming skills in Python with a strong understanding of data manipulation libraries and statistical packages 
• Proficiency in using query languages such as SQL, HiveQL, and big data technologies such as Spark
• Experienced with automated ETL process and data pipelines (i.e Airflow)
• Experienced with MLOps best practices and proficient with git technologies
• Prior experience with cloud platforms (Azure, AWS, GCP, etc) is preferred.
• Proficient with concepts and application of machine learning algorithms.
• Knowledge of visualization tools such as Power BI.
• Understanding and experience of investment emissions (scope 3 emissions, category 15) calculations and standards is preferred. 
• Knowledge of Bank Information Systems, such as product and reporting systems, including finance systems, Salesforce, and the Enterprise Data Lake, an asset.
• University education, with a specialization in Economics, Statistics, Computer Science or Engineering.
• Master’s level preferred.

What's in it for you?

•    The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
•    A rewarding career path with diverse opportunities for professional development
•    Internal training to support your growth and enhance your skills.
•    An inclusive working environment that encourages creativity, curiosity, and celebrates success!
•    Work in an Ecosystem where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more.
•    Hybrid Work Environment

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.