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Senior AI/ML Data Scientist, Corporate Functions Analytics

  • Toronto, ON, Canada

$52.5 to $70 CAD / hour · Contract

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Job details

Pay
$52.5 to $70 CAD / hour
Job type
Contract
Work location
Toronto, Ontario, Canada; hybrid arrangement with 2-3 days in the office per week.
Experience
5-8 years of experience and advanced expertise in AI and machine learning, data engineering.
Posting language
English
Posted

Original job description

Senior AI/ML Data Scientist, Corporate Functions Analytics:

On behalf of our Banking client, Procom is searching for a Senior AI/ML Data Scientist, Corporate Functions Analytics for a 12 month contract role. This position is a hybrid position with 2-3 days onsite at our client’s Toronto office.

Senior AI/ML Data Scientist, Corporate Functions Analytics - Job Description:

The Senior AI/ML Data Scientist will be responsible for designing and implementing advanced analytics and AI solutions to address complex business challenges across the bank’s global Corporate Functions. The role involves uncovering actionable insights from data to identify and capitalize on business opportunities.

Senior AI/ML Data Scientist, Corporate Functions Analytics - Responsibilities:

  • Analyzing large, complex multi-dimensional datasets in structured and unstructured formats.
  • Providing support to various partners and stakeholders by leading the discovery process to identify business requirements and expected outcomes.
  • Developing innovative approaches by applying statistical and predictive modeling techniques to solve business problems.
  • Effectively communicating results and methodologies to broad audiences, including senior executives and non-technical audiences.
  • Preparing detailed documentation to outline data sources, models, and algorithms used and developed.
  • Staying current on trends in Data Science and AI, translating those trends into actionable objectives for the Bank.
  • Providing strong leadership, mentoring, and managing direct reports to motivate performance and foster commitment to the Bank’s objectives.

Senior AI/ML Data Scientist, Corporate Functions Analytics - Mandatory Skills:

  • 5-8 years of experience and advanced expertise in AI and machine learning, data engineering.
  • Relevant STEM degree with experience in statistical analysis, machine learning, and predictive modeling.
  • Strong programming skills in Python, Spark, R, SQL; experience with Cloud environments and Power BI.
  • Ability to manage substantial amounts of structured and unstructured data.
  • Expertise in operations research methodologies for optimizing strategies.
  • Strong collaboration skills and ability to convey technical information as business value.
  • Proficiency in documentation and presenting findings.

Senior AI/ML Data Scientist, Corporate Functions Analytics – Nice-to-Have Skills:

  • Spanish proficiency.
  • Experience managing business stakeholder experience.
  • Previous banking experience.

Senior AI/ML Data Scientist, Corporate Functions Analytics – Assignment Length:

This is a 12 month contract position with the possibility of extension.

Senior AI/ML Data Scientist, Corporate Functions Analytics - Start Date:

ASAP.

Senior AI/ML Data Scientist, Corporate Functions Analytics - Assignment Location:

Toronto, Ontario, Canada; hybrid arrangement with 2-3 days in the office per week.

More about this job

Responsibilities

The Senior AI/ML Data Scientist at Procom's banking client will analyze large, complex datasets and build statistical and predictive models for business problems. The role also presents results to executives and manages and mentors a team.

Requirements

Candidates need 5-8 years of experience in AI, machine learning and data engineering, plus a relevant STEM degree. Strong Python, Spark, R, SQL, cloud and Power BI skills are required, along with operations research and communication skills.

Skills

  • Python
  • Apache Spark
  • R
  • SQL
  • Power BI
  • Cloud computing
  • Machine learning
  • Statistical analysis
  • Predictive modeling
  • Operations research
  • Data engineering
  • Unstructured data analysis
  • Technical documentation
  • Stakeholder communication
  • Team leadership and mentoring
  • Data science
  • Artificial intelligence
  • Business analysis

Categories

  • Data & Analytics
  • Technology
  • Finance & Accounting
  • Consulting

Keywords

  • AI
  • machine learning
  • data science
  • predictive modeling
  • statistical analysis
  • Python
  • Spark
  • R
  • SQL
  • Power BI
  • cloud
  • operations research
  • banking
  • data engineering
  • structured and unstructured data
  • analytics
  • contract
  • hybrid
  • Toronto
  • team leadership

Seniority

Senior

Tools

  • Python
  • Spark
  • R
  • SQL
  • Power BI

Languages

  • English

Fields of study

  • STEM

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