33070

Intern, SAP BI Reporting – Houston, Texas

Precision Drilling is launching our 2024 Internship Program!

If you are a current post-secondary student working towards your degree in Computer Science, Computer Engineering, or a related discipline and you’d like to gain real-world experience during your summer, then please read on…

Working for Precision Drilling means being immersed in a supportive culture that recognizes you as a strategic player in Precision Drilling’s future. We are a large company rooted in the success of our people, where you will collaborate with leadership and your colleagues across the organization.

Our Interns will enjoy perks such as:

• A work environment where you can expect to enjoy a work-life balance that promotes personal health and well-being.
• Personal development to grow your career with us based on your strengths and interests.
• Networking and employee engagement events.
• Career development seminars.
• Precision offers afternoons off before a long weekend.

How to Apply

Applicants MUST submit a Cover Letter detailing their interest in working at Precision Drilling. Failure to submit a Cover Letter will result in automatic disqualification. Please submit your Cover Letter & Resume in ONE PDF file attached in the resume section.

This application will close on Friday, March 8, 2024.

The following restrictions apply to all internship candidates:

• Applicants must be available for a non-negotiable start date of Wednesday, May 22, 2024.
• Applicants must be 18 years or older.
• Applicants must have housing accommodations or transportation in the Houston area, as Precision does not provide internship housing.
• By May 22, 2024, applicants must have completed at least their first year of study in a post-secondary program/Technical Institute (see job posting). 

Summary

The ML Developer Intern will be involved as part of the drilling optimization team. The position reports to the Team Lead, Data Innovation and works closely with Machine Learning and Data Analytics Developers, Data Scientists as well as the Optimization team with the goal of finding opportunities for rig performance improvement by leveraging modern data mining and machine learning techniques over large data sets.  

Responsibilities

• Perform exploratory data analysis, feature engineering and selection, algorithm selection and optimization. 

• Develop and tune machine learning algorithms to analyze large data sets, derive insights and make inferences. 

• Design machine learning systems, as well as artificial intelligence tools to automate certain predictive models and tasks. 

• Analyze and interpret machine learning outputs to enable interpretability and future improvements. 

• Develop pipelines for ongoing monitoring and re-training as required. 

• Develop and maintain technical documentation

Knowledge & Skills

Interpersonal skills – Is approachable and able to establish trust and rapport with customers, employees, and co-workers. Demonstrated ability to maintain lasting relationships. Able to create a collaborative environment.  

Attention to Detail – Able to use large amounts of information to produce precise and consistent calculations, reports, charts, statistics, etc. Regularly checking and cross-referencing work may be required to ensure accuracy.  

Initiative – Able to identify problems, creatively think of solutions, and decide on the best course of action regarding the situation. Can work under minimal supervision to complete required tasks.  

Communication – Able to articulate to various audiences both through verbal and written communication. Able to listen and influence others, as well as clearly communicate their own thoughts and issues in a clear and concise manner. 

Time Management skills – Can prioritize multiple responsibilities, meet deadlines, and estimate time required for completion of tasks. 

Education

Pursuing/Recently completed Degree or Technical Diploma in Computer Science, Computer Engineering, or Data Science 

Experience

Knowledge of Python is a must 

Experience with Probability and Statistics is a must 

Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) is a must 

Familiarity with Large Language Models is a must 

Familiarity with SQL and Snowflake data cloud is an asset. 

Experience with Azure data technologies such as Azure ML, Azure Kubernetes, and Azure Data Lake is good to have 

Knowledge of ETL performance tuning techniques would be an asset  

Familiarity with data visualization tools such as PowerBI and\or Grafana is an asset 

Any experience with Kafka data streaming will be a plus 

Oil & Gas experience is a plus