Research Engineer / Developer Student (May 2026, 12-16 Month)

Reposted 3 Days Ago
Be an Early Applicant
Calgary, AB
In-Office
Internship
Information Technology • Analytics
The Role
The intern will apply data science and software development to solve challenges in the oil and gas industry, contributing to development and data workflows.
Summary Generated by Built In

Why Turing Analytics?  

At Turing Analytics Inc., our Calgary-based team brings decades of experience in energy analytics and SaaS development. We’re looking for driven, curious problem-solvers who thrive in fast-paced, collaborative environments. Our culture is built on delivery and impact — we’re always focused on creating real value for our users.

If that sounds like the kind of team you want to grow with, explore the details below and apply today!

 

Research Engineer / Developer Student (May 2026, 12-16 Month)

Our Research group is looking for motivated students interested in applying data science and software development to solve real-world challenges in the upstream oil and gas industry. You’ll work alongside experienced engineers, developers, and analysts on projects such as geospatial and geological modeling, production and supply forecasting, enhanced oil recovery schemes, and midstream analysis.

The position starts in May 2026.

This internship is ideal for students who are passionate about energy, data, and technology—especially those eager to learn at the intersection of oil and gas engineering and data science.

 

Primary Duties and Responsibilities

  • Make a Difference: Contribute to kick ass development in our rapidly expanding data offerings.
  • Apply Domain Knowledge: Use your academic background in engineering, geoscience, or data science to help design and improve data-driven workflows.
  • Feature Engineering & Data Quality: Assist in building and maintaining high-quality, reliable datasets for analysis and modeling.
  • Collaborate: Work closely with engineers, developers, and analysts to translate domain knowledge into actionable data features.
  • Communicate: Help bridge the gap between technical and non-technical stakeholders through clear, effective communication.
  • Adapt: Thrive in a rapidly growing and dynamic environment.
  • Grow: Learn from experienced mentors and gain hands-on experience in real industry applications.

Minimum Skills & Qualifications

  • Currently pursuing a Bachelor’s Degree in Engineering, Geoscience, Computer Science, or a related field.
  • Located in or able to work from Calgary, AB.
  • Familiarity with Python, MATLAB, or R (experience with GitHub is a plus).
  • Basic understanding of SQL and relational databases (MySQL, PostgreSQL, or Oracle).
  • Strong critical thinking and problem-solving
  • Ability to work effectively in both team and independent settings.
  • Strong written and verbal communication skills.

Preferred Skills & Qualifications

  • Experience with Python libraries such as Pandas and NumPy.
  • Exposure to NoSQL or document databases (e.g., MongoDB).
  • Interest in data engineering principles and data pipeline design.
  • Academic or project experience combining engineering and data analysis.

Top Skills

Git
Matlab
MongoDB
MySQL
Numpy
Oracle
Pandas
Postgres
Python
R
SQL
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The Company
HQ: Calgary, Alberta
31 Employees
Year Founded: 2021

What We Do

EVA is a next-generation analytics platform powered by McDaniel Research and tailored specifically for oil and gas to quickly derive insights that matter to energy operators, investors and advisors.

EVA Offers:

- Blazing Speed on our proprietary cloud-based platform
- Data quality control and derivative insights by McDaniel Research
- Pre-built engineered features specifically for oil and gas
- Immediate access to 1000's of hours of research and interpretation
- Detailed 3D Geology Structures and Geo Models of major resource plays
- Proprietary well density and pad geometry analytics
- Built-in tools to make generating impactful presentations fast and easy

With EVA you can:

INVESTIGATE
total play performance, decline rates, operator activity, trends in well and completion design.

ANALYSE
relative well performance as a function of numerous variables and pre-engineered features including: operator, vintage, well length, stage count, well density, pad geometry and parent/child.

LEVERAGE
proprietary McDaniel Research maturity mapping & machine learning to model sales gas and sales condensate for all wells that publicly report re-combined gas (Montney, Duvernay).

NORMALIZE
well performance for horizontal length, stage count, proppant placed and many more.

PRESENT
your stakeholder with insights uncovered with easy-to-use impactful visualizations of charts, 3D Geology Structures and maps and export them in user-defined sizes and aspect ratios.

VISUALIZE
well placement and pad geometry within the context of local geology by leveraging detailed 3D Geology Structures and Geo Models provided by McDaniel Research.

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