1

Python Data Scientist Jobs in Alberta (NOW HIRING)

The ideal candidate brings a deep technical mastery of SQL, DevOps, Git, Spark, Python, dataflows ... Qualifications A Bachelor degree-preferably in computer science, computer/software engineering or ...

A bachelor's degree in computer science, data engineering, electrical engineering, or a related field. * At least three years of hands-on data engineering experience. * Strong Python skills ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Conduct exploratory data analysis and statistical analyses using Python and/or R. * Prepare ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Conduct exploratory data analysis and statistical analyses using Python and/or R. * Prepare ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Strong skills in statistics and programming, as well as knowledge of data science and software ... Python * Good experience with Large Language Model technologies * Experience within Data ...

Programming experience in Python. * Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar. * Experience working with at least one major ...

Manager Cyber Cloud Security and AI

Calgary, AB · Hybrid

CA$116K - CA$166K/yr

Experience across cybersecurity, Data Science,AIor related disciplines (e.g.technology risk). * AI Expertise: Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R ...

Solid understanding of geophysical methods and data types, including Seismic, Fault, Horizon and Velocity modeling. * Experience with scientific computing libraries and frameworks: * Python: NumPy ...

Demonstrated knowledge and experience in statistics and data science or data analysis. * Hands-on ... Programming experience (Python and/or C/C++). * Experience in mechanical hardware design in ...

Demonstrated knowledge and experience in statistics and data science or data analysis. * Hands-on ... Programming experience (Python and/or C/C++). * Experience in mechanical hardware design in ...

Showing results 41-60

Python Data Scientist information

See Alberta salary details

$25K

$127K

$190K

How much do python data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for python data scientist in Alberta is $126,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $159,000.00 per year, depending on experience, location, and employer.

How much does a Python Data Scientist make?

A Python Data Scientist's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in the United States. Senior roles or those with advanced skills in machine learning and big data tools can earn higher compensation. Certifications and a strong portfolio can also influence salary levels.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.
What are popular job titles related to Python Data Scientist jobs in Alberta? For Python Data Scientist jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Alberta look for? The top searched job categories for Python Data Scientist jobs in Alberta are:
Infographic showing various Python Data Scientist job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $126,959 per year, or $61 per hour.

Data Migration & Automation Developer

Modular Solutions

Calgary, AB

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago


Job description

About Modular Solutions

Founded in 2015, Modular Solutions delivers enterprise-grade technology to the insurance industry. Our configurable platform helps insurers, mutuals, MGAs, and brokers manage core operations through a single system designed for flexibility, long-term growth, and complex regulated environments.

Position Summary

Modular Solutions is seeking a Data Migration & Automation Developer to support client data migration, conversion, BI, and implementation projects. This developer-oriented role sits within our Data team and focuses on moving data from source platforms, files, spreadsheets, and custom systems into one clean target state in Modular's platform.


The ideal candidate is strong with SQL, ETL/ELT, BI, semantic models, scripting, data quality, and migration patterns. They should know how to clean, transform, validate, reconcile, and document data effectively while helping improve and extend our existing migration system.

Strong AI capability is a core requirement. We are looking for someone who understands modern AI-assisted and agentic development workflows and can apply them responsibly to migration and BI work, including source analysis, semantic modeling, report/data-model review, mapping, scripting, validation, documentation, and automation. This role is well suited for someone who enjoys working with data, solving technical problems, identifying inconsistencies, and collaborating with both technical and business teams.

Key Responsibilities

  • Support client data migration, conversion, BI, and implementation projects as a developer-oriented member of the Data team.
  • Extract, clean, transform, map, reconcile, and load data from multiple source platforms, spreadsheets, files, and custom systems into a single, consistent target model.
  • Analyze source data to identify gaps, inconsistencies, duplicates, missing relationships, formatting issues, and other data quality concerns.
  • Write and maintain SQL queries, scripts, migration utilities, data mapping documentation, conversion rules, validation logic, migration notes, and runbooks.
  • Improve and extend our existing migration system, including ETL/ELT patterns, conversion tools, templates, validation checks, semantic-model patterns, BI workflows, and quality-control processes.
  • Use AI-assisted and agentic development workflows to accelerate source analysis, semantic-model design, BI/reporting review, SQL/script generation, documentation, validation, and internal automation while maintaining strong human review.
  • Support test conversions, mock migrations, production migration activities, reporting, reconciliation, and post-migration validation against source systems, business requirements, and expected platform outcomes.
  • Collaborate with Data, Development, Product, Implementation, and business stakeholders to understand data requirements, clarify business rules, resolve defects or conversion gaps, and communicate progress, risks, and dependencies.

Required Qualifications

  • A degree, diploma, or certificate in Computer Science, Data Science, Software Development, Information Systems, or a related field, or equivalent professional experience.
  • 3+ years of experience with data migration, data conversion, BI/reporting, semantic models, ETL/ELT, database development, data analysis, implementation projects, or software development.
  • Strong SQL skills and experience with PostgreSQL and analytical data platforms such as Snowflake.
  • Strong understanding of data cleansing, transformation, mapping, validation, reconciliation, and migration from many source platforms and data formats into a clean, reusable target state.
  • Experience using scripting or programming languages such as C#, Python, PowerShell, TypeScript, or similar tools to automate data, reporting, semantic-layer, or migration workflows.
  • Hands-on experience with BI tooling, semantic models, governed metrics, reusable reporting models, and reporting assets that can be reviewed, versioned, tested, or automated.
  • Demonstrated experience with modern AI-assisted and agentic development workflows for coding, scripting, analysis, documentation, BI/reporting work, validation, or automation.
  • Strong analytical, communication, and problem-solving skills, with high attention to detail and the judgment to validate AI-generated code, SQL, mappings, summaries, and analysis before use in client-facing or production migration work.
  • Ability to read and interpret business rules, technical documentation, data layouts, and mapping specifications while managing competing priorities during migration projects.


Preferred Qualifications

  • Insurance data experience, especially policy, billing, claims, broker, customer, coverage, risk, or transaction data.
  • Experience converting data from insurance systems, policy administration systems, spreadsheets, custom-built tools, or other business data sources.
  • Experience with ETL/ELT tools, APIs, internal tooling, automation frameworks, BI tooling, semantic-model tooling, migration utilities, cloud-hosted environments, Agile delivery tools, or implementation/onboarding projects.
  • Snowflake experience is a major asset.
  • Power BI, Microsoft Fabric, or similar BI platform experience is a strong asset, especially where reports, models, and metrics are structured, reviewable, or source-controlled.
  • Experience using agents or automation to improve BI workflows, such as reviewing reporting logic, validating models, documenting semantic layers, or creating quality checks.

Our Technology Stack and Architecture:

Our core platform uses C#/.NET, Entity Framework, PostgreSQL, React, TypeScript, and Azure. This role works closely with product engineering teams on system logic, database structures, APIs, and platform requirements related to migration, BI, data quality, and automation workflows.

Why Join Modular Solutions?

We are building a long-term platform in a complex industry where customers depend on accurate data every day. You will help expand our migration system and make migration and BI work cleaner, faster, and more AI-enabled as we grow. We value autonomy, accountability, strong technical judgment, and people who take pride in building production-grade systems the right way.

What We Offer

  • Be part of a growing company building a modern, enterprise-grade platform for the insurance industry.
  • Work alongside experienced insurance and technology professionals in a collaborative environment.
  • Flexible remote work environment, with a preference for Alberta-based team members, and periodic in-person planning sessions and team events.
  • Extended health, dental, and vision benefits.
  • Access to an Employee and Family Assistance Program.
  • Annual professional development allowance.
  • Additional paid time off beyond standard statutory holidays and vacation.
  • Recognition for meaningful contributions and career milestones.
  • Share Appreciation Rights program so you participate in the company's long-term success.


To Apply:

Please submit your resume and a brief cover letter outlining your relevant experience and what excites you about this opportunity. We thank all applicants for their interest; only those selected for an interview will be contacted.