Principal Data Scientist at Ontario Teachers' Pension Plan

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Pensions, InvestmentsIndustries

Requirements

Bachelor’s degree in a quantitative discipline
Master/Ph.D degree in a quantitative discipline with data science/statistical modelling focus preferred
Canadian Securities Course or demonstrated equivalent experience considered an asset
Good coding habits: documentation, version control, code review, etc
Ability to quickly learn/adopt new technology and approaches
Ability to independently research potential solutions from industry and academic resources
Ability to articulate thoughts/ideas to effectively collaborate with business and IT partners
Strong problem-solving skills in a team-based environment
Expert knowledge of mathematical and statistical modelling
Expert knowledge of machine learning applications, data science and advanced analytic techniques
Particular focus in Natural Language Processing and related techniques/technologies
Strong knowledge of new AI technologies and industry trends (commercial software and open-sourced solutions)
2+ years of NLP experience and 7+ years of experience in data science/machine learning
Experience in mathematical and statistical model development for predictive decision making
Proficient programming skills in Python/R/Spark or other open source languages and related libraries
Proficient SQL skills in mining complex and multi-sourced data environments
Practical NLP model development and maintenance experience required
Experience with current NLP techniques and libraries

Responsibilities

Maintain existing NLP systems and future development
Maintain, monitor and improve NLP ecosystem: data pipeline, statistical model development and/or business applications
Maintain and further develop/refine existing NLP algorithms with new techniques or alternative data
Develop new Machine Learning algorithms as needed
Analyze and interpret complex sets of structured/unstructured data to identify patterns and potential opportunities
Visualize data, metrics, and patterns to produce insightful analytics and collaborate with business teams on implementation
Assist with Data Engineering activities and data preparation
Champion Machine Learning development life cycle
Implement best practices related to ML algorithms including model development, validation, monitoring and re-fit
Champion good coding practices: documentation, version control and code review
Share/coach/train others in building a well-managed model development practice
Stay up-to-date with current technology and industry trends
Explore and experiment with new techniques, capabilities and data sources, and make sound recommendations to business
Share knowledge and learning with broader team
Lead ongoing management of NLP related systems and models in a matrix management style
Develop strong relationships and demonstrate effective partnership in analysis and generation of insights
Support team in delivering key reports, insights, models and visualizations per business priorities
Continuously research and identify improvement opportunities for NLP model/infrastructure, alternative data sources, modelling techniques
Make decisions on necessary practices, maintenance, required technology and appropriateness of NLP related technology/data use

Skills

NLP

Machine Learning

Statistical Modeling

Data Pipelines

Data Visualization

Python

Version Control

Model Validation

Data Engineering

Algorithm Development

Ontario Teachers' Pension Plan

Global investment management for pension funds

About Ontario Teachers' Pension Plan

Ontario Teachers' Pension Plan manages a large investment portfolio with $241.6 billion in assets, aiming to grow to $300 billion by 2030. The organization invests in a diverse range of sectors, including agriculture and artificial intelligence, to ensure retirement security for 333,000 teachers in Ontario. Their investment strategy goes beyond just financial returns; they focus on enhancing sustainability in their portfolio companies and seek to create a positive impact on the businesses they invest in and the broader community. This commitment to responsible investing sets them apart from other pension funds, as they prioritize both profitability and a better future.

Toronto, CanadaHeadquarters

1989Year Founded

$15,381MTotal Funding

N/ACompany Stage

AI & Machine Learning, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Professional Development Budget

Employee Discounts

Risks

Healthcare investments may face regulatory and market challenges.

Space exploration investments are subject to technological and regulatory uncertainties.

Nordic expansion exposes the plan to geopolitical and economic risks.

Differentiation

Ontario Teachers' Pension Plan manages $241.6 billion in assets globally.

The plan focuses on sustainable and profitable investments for long-term growth.

It has a diverse portfolio, including agriculture, AI, and healthcare.

Upsides

Recent investments in healthcare show strategic growth in a vital sector.

The Fleet Space investment aligns with global sustainability and innovation goals.

Acquisition of Max Matthiessen expands influence in European financial services.

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