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Contract Python Data Analysis Jobs in Toronto, ON

Jay Analytix

Python Developer

Toronto, ON · On-site

Proficiency in Python and Flask framework. * Strong understanding of React.js and its core ... Familiarity with data analysis tools is a plus What will you do? Front-end Development (React)

Ellisdon

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal ... Statistical analysis (Excel, SPSS, SAS, R, or Python); * ETL methodologies and toolsets;

Scotiabank

Data Analyst

Toronto, ON · On-site

Key Responsibilities Data Analysis & Insights Analyze large and complex datasets to identify trends ... Experience with Python or R is an asset. Familiarity with cloud and data warehousing platforms such ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Toronto, ON

Contract Python Data Analysis information

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Toronto, ON?

The most popular types of Python Data Analysis jobs in Toronto, ON are:

What are popular job titles related to Contract Python Data Analysis jobs in Toronto, ON?

For Contract Python Data Analysis jobs in Toronto, ON, the most frequently searched job titles are:

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The top searched job categories for Contract Python Data Analysis jobs in Toronto, ON are:

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Cities near Toronto, ON with the most Contract Python Data Analysis job openings:

Contract Python Data Analysis jobs near you

GenAI & Python Specialist - Operate

Deloitte

Toronto, ON • Hybrid

Full-time

Life, PTO

Re-posted 22 days ago

Key responsibilities

  • Design, build, and scale Generative AI solutions using Python‑based frameworks, Large Language Models (LLMs), and advanced retrieval‑augmented generation (RAG) techniques

  • Develop and orchestrate multi‑agent systems and agentic AI workflows using tools like LangChain, LangGraph, ADK, and MCP

  • Implement Retrieval‑Augmented Generation (RAG), manage vector databases, and design memory systems for AI workflows

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services

Job description

Job Type: Temporary Contract 
Work Model: Hybrid 
Reference code: 132585   
Primary Location: Toronto, ON  
All Available Locations: Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
Summary

Deloitte is seeking an experienced GenAI & Python Specialist to join our dynamic Operate team on a 1‑year fixed term employment basis. In this role, you will design, build, and scale Generative AI solutions using Python‑based frameworks, Large Language Models (LLMs), and advanced retrieval‑augmented generation (RAG) techniques.

What will your typical day look like?
  • Strong Python development for GenAI and agentic systems
  • Design and implementation of Agentic AI workflows using LangChain, LangGraph, ADK, MCP
  • Development and orchestration of multi‑agent systems
  • Implementation of Retrieval‑Augmented Generation (RAG), including advanced RAG techniques
  • Integration and management of vector databases for RAG workflows
  • Design and implementation of memory systems (short‑term, long‑term, persistence, conversational checkpoints)
  • Agentic AI design and orchestration across workflows
  • Work with AI/GenAI models including Gemini and Claude 4.5 on Vertex AI
  • Development of business co‑pilots, including co‑pilot solutions for Risk Analysts
  • Support for business process optimization using GenAI
  • Use of NLU as an add‑on capability where required
  • Contribution to CTO‑led tools, including:
    • Agent Flow for observability, drift monitoring, feedback loops
    • ML Flow for model evaluation and drift detection
    • Sourcing test results management, including truth tables and evaluations
    • Bringing Agent Flow into existing projects
  • Domain‑specific GenAI solutions for DRO (Data and Regulatory Operations):
    • QA validation and KYC document processing
    • Systematic capture and validation of required fields
    • Automated document checking without extraction
    • Record retrieval and comparison (DNC, ANC, SMC)
    • Agentic framework for document management, data analysis, and data engineering
  • Co‑Labs initiatives:
    • Consolidation across MCP endpoints
    • Agent registries consolidation
    • Combining assets into an accessible catalog
  • Python‑based web scraping and utility development
  • Work with existing Python GitHub repositories
  • Integration with case management tools and Appian workflows (NA10)
  • Building agents on top of Appian workflows using ADK
About the team

This is your opportunity to work in Operate at Deloitte. Operate services harness the latest technologies, talent, and capabilities from all over the world to deliver ongoing outcomes and client value. We do more than traditional business process outsourcing. We do more than just “keeping the lights on.” We work shoulder-to-shoulder with clients and their customers, constantly adapting to the pace of change, to ideate, innovate, and embed continuous advantage at the heart of their operations. And we do it with the kind of drive and passion that comes from loving what you do—and who you do it with.

Enough about us, let’s talk about you

You are someone with these skills, experience & qualifications:

  • 6+ years of hands‑on experience designing and implementing AI / GenAI solutions using Python
  • Strong proficiency in Python engineering for data processing, model integration, APIs, and microservices
  • Deep understanding of Generative AI, LLMs, and NLP concepts and architectures
  • Experience building agentic AI workflows using LangGraph, including multi‑step reasoning, tool‑calling, and planner–executor patterns
  • Advanced knowledge of RAG techniques, including hybrid search, vector and multi‑vector retrieval, embeddings, and context optimization
  • Experience designing and deploying APIs and microservices to production environments
  • Familiarity with traditional ML/NLP techniques such as clustering, extraction, and enrichment to complement GenAI solutions
  • Strong communication skills, a collaborative mindset, and a passion for continuous learning and innovation in the GenAI space
Total Rewards


The salary range for this position is $72,000 - $125,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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