ZipRecruiter

Log In

2

Full Time Python Data Analysis Jobs in Surrey, BC

Remitly

Data Scientist II

Burnaby, BC · On-site

CA$128K - CA$144K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... Python or R for exploratory data analysis, statistical analysis, and machine learning * Proficiency creating dashboards and visualizations using tools such as Tableau, Power BI, Mode, or similar ...

Orion Digital

Financial Operations Analyst

Vancouver, BC · Remote

CA$60K - CA$80K/yr

  • Medical

  • Dental

  • Vision

  • PTO

This is a full-time, remote role reporting to the Director of Investing Operations. This is not a ... Strong Excel skills, including advanced formulas, data analysis, reconciliations, and experience ...

HUB

Data Scientist

Abbotsford, BC · On-site

  • Retirement

This is a permanent, full-time position, reporting to the Director, Business Intelligence at HUB ... Strong Python skills for analysis, modelling, and automation (pandas, scikit-learn, NumPy), plus ...

Ledcor Group

Senior Data Engineer

Vancouver, BC · On-site

CA$94K - CA$129K/yr

Reporting to the Senior Manager, Data & Analytics Platform, you will work across the full data ... Strong proficiency in Python, PySpark, and SQL for large-scale data transformation * Experience ...

PDF Solutions

Senior R&D Engineer

Vancouver, BC

CA$110K - CA$150K/yr

Knowledgeable in Python or other scripting language Plus: * Experience with image processing and ... Experience in Data Analysis and visualization packages (JUMP, SPLUS, Spotfire) * Knowledge base or ...

Dutch

Lead Data/Analytics Engineer

Vancouver, BC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role We're looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and ... Strong proficiency in SQL and Python * Deep hands-on experience with Snowflake or a comparable ...

Teck

Data Scientist III

Vancouver, BC · Hybrid

CA$107K - CA$132K/yr

Regular Full Time Workplace Type: Hybrid About our Vancouver Office Located in the heart of ... Collect, process, and analyze large-scale datasets from diverse sources using modern data ...

iQmetrix

Senior Data Engineer

Vancouver, BC · On-site

CA$110K/yr

  • Retirement

  • PTO

What We're Looking For: * 5+ years of experience in data engineering, software engineering, analytics engineering, or a closely related field. * Strong proficiency in SQL and Python, with production ...

MasterCard

Data Scientist II

Vancouver, BC · On-site

... analytics, and core machine learning concepts Experience with Python and SQL; familiarity with tools such as Pandas for data manipulation and analysis Exposure to large datasets and interest in ...

Brex

Brex Rotational Program

Vancouver, BC · Hybrid

CA$63K - CA$71K/yr

Basic knowledge or proficiency in programming languages such as but not limited to Python ... analytics. * Prior internships/full-time roles in an operational, data, or technical role ...

previous page

Showing results 41-60

All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Surrey, BC

Full Time Python Data Analysis information

What is a full time python data analyst?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What are some common challenges faced by full time python data analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What are the key skills and qualifications needed to thrive as a full time python data analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Surrey, BC?

The most popular types of Python Data Analysis jobs in Surrey, BC are:

Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Surrey, BC as of June 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Scientist II

Remitly

Burnaby, BC • On-site

CA$128K - CA$144K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

The Trust Machine Learning team protects Remitly's customers by developing intelligent systems that prevent fraud. These systems assess the risk of every transaction and customer interaction, while minimizing the impact on user experience and customer trust.

As an embedded data scientist, you will understand fraud trends, uncover new fraud signals, and use data to optimize our risk decision policies.

You Will:

  • Discover and deliver fraud signals that improve model performance to target and prevent first-party fraud, consumer fraud, and unwanted activity
  • Manage and assess risk decision policies that improve automated fraud prevention outcomes, balancing risks with operational and customer impacts
  • Design metrics and dashboards that communicate fraud model efficacy to business partners
  • Design and conduct A/B experiments to assess and understand the impact of fraud decision policy changes
  • Partner with machine learning engineers to ensure features are well-integrated and optimized for production models

You Have:

  • 3 or more years of experience using SQL and Python or R for exploratory data analysis, statistical analysis, and machine learning
  • Proficiency creating dashboards and visualizations using tools such as Tableau, Power BI, Mode, or similar technology
  • Experience designing, running, and analyzing experiments to inform business strategy
  • A degree in data science, statistics, mathematics, operations research, or related field (or equivalent experience)

Compensation Details. The starting base salary range for this position is $128,000-$144,000. In Canada, Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits

  • Four weeks vacation
  • Health Benefits
  • Mental Health & Family Forming Benefits
  • RRSP plan with company match
  • Employee Stock Purchase Plan (ESPP)
  • Life Insurance & Disability
  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply