At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose: Honesty, Reliability, Collaboration, Curiosity, Passion About the role and what you'll be doing: We are looking for potential participants for our 2026 Summer Internship Program and are excited to invite driven and self-motivated candidates to apply! Ensono is dedicated to cultivating talented individuals with unique skillsets who know how to dream big and build bigger! This is a paid position. Ensono’s paid internship is a 12-week program that runs from May 18th to August 7th, 2026 and could lead to a part-time or full-time position within Ensono. Our summer internship is the entry point into our 12-month rotational program. The program aims to create a pathway to full-time employment and develop well-rounded junior associates with great potential. Each summer we choose two interns to join Ensono full-time and gain experience in different departments over 3-month rotations. Because of this, our ideal intern candidate would graduate by December 2026 and be interested in full-time opportunities after the internship ends. What you can look forward to doing- - Practical experience with end-to-end AI/ML projects in enterprise environments.  - Exposure to hybrid cloud and modern data platforms.  - Mentorship from senior data scientists and engineers.  - Opportunity to contribute to impactful solutions for Ensono’s clients We want all new Interns to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. Required Qualifications - Pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field – 3rd year or pursing masters in the same fields. - Experience with Python or R, and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).  - Understanding of supervised and unsupervised learning, regression, classification, clustering, and model evaluation techniques.  - Experience with data visualization tools (e.g., matplotlib, seaborn, Tableau, Power BI).  Preferred Qualifications - Strong analytical, problem-solving, and communication skills.  - Interest in cloud platforms (AWS, Azure, Google Cloud) and MLOps is a plus.  Why Ensono? Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. As of the date of this posting, a good faith estimate of the current pay scale for this role is $20.00/hr based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website. If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Scientist II, you will play a pivotal role in transforming complex data into actionable insights that drive strategic business decisions. You will be responsible for: - Designing, developing, and deploying advanced analytical models and machine learning algorithms to solve challenging problems across various domains. - Collaborating closely with cross-functional teams to translate business needs into data-driven solutions that enhance operational efficiency and customer experience. - Conducting continuous experimentation, validation, and refinement of models to ensure accuracy and scalability. - Enabling the organization to leverage data as a critical asset for innovation and competitive advantage. Qualifications - Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. - 3+ years of professional experience in data science, analytics, or a related role. - Proficiency in programming languages such as Python or R for data analysis and model development. - Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. - Strong knowledge of statistical analysis, data mining, and data visualization techniques. - Familiarity with SQL and working with relational databases. Requirements - Master’s degree or higher in a quantitative discipline. - Experience with big data technologies such as Spark, Hadoop, or cloud-based data platforms. - Knowledge of deep learning techniques and natural language processing. - Familiarity with containerization and orchestration tools like Docker and Kubernetes. - Experience working in an Agile development environment. Responsibilities - Develop, test, and implement predictive models and machine learning algorithms to address business challenges. - Analyze large, complex datasets to identify trends, patterns, and opportunities for optimization. - Collaborate with product managers, engineers, and stakeholders to understand requirements and deliver data-driven solutions. - Communicate findings and insights effectively through data visualizations, reports, and presentations to both technical and non-technical audiences. - Maintain and improve existing data pipelines and analytical tools to ensure data quality and accessibility. - Stay current with emerging data science techniques, tools, and best practices to continuously enhance analytical capabilities. Skills In this role, your programming skills in Python or R will be essential for cleaning, analyzing, and modeling data on a daily basis. You will leverage your expertise in machine learning frameworks to: - Build and refine predictive models that address complex business problems. - Efficiently extract and manipulate data from large databases using SQL, ensuring the accuracy and relevance of your analyses. - Translate technical findings into clear, actionable insights for diverse stakeholders. - Utilize familiarity with big data tools and cloud platforms to scale solutions and integrate them seamlessly into production environments.

Overview We are designing the grid of the future! EPE is looking to recruit a Senior Principal – EMT modeling with a strong background in EMT modeling and studies. In this role you’ll get to leverage your deep technical expertise and guide our clients through existing and emerging EMT requirements across a broad range of Utilities and ISOs/RTOs. This role is ideal for a technical expert who thrives on solving hard problems, building trusted relationships and enjoys mentoring others. Responsibilities How you can make an impact: Technical Leadership & Team Development - Perform PSCAD and PSS/E model benchmarking for both generation and load projects in accordance with existing or emerging requirements to assist clients in demonstrating compliance. - Develop and tune large load models - Lead automation efforts to improve efficiency in performing EMT modeling and model quality testing - Stay current with emerging EMT modeling requirements and participating in internal and external forums - When required, step in to support more junior members of staff leveraging your technical skills to assist them in troubleshooting complex issues. - Mentor and empower engineers, fostering a culture of excellence, accountability and innovation. - Demonstrate extreme ownership by taking responsibility for outcomes, decisions, and overall project success. - Enhance internal capability by coaching staff on both technical and client-facing skills. - Enhance delivery frameworks, QA/QC processes to ensure projects are delivered effectively to the highest quality standards. Client & Market Impact - Serve as a trusted advisor to generation and large load developers helping them navigate Eastern Interconnection evolving interconnection landscape. - Translate complex technical issues into clear and actionable insights that accelerate client decision-making and support project success. - Leverage strong communication and stakeholder engagement skills to gather necessary input and make informed recommendations even in situations where there is inherent ambiguity. - Lead reviews of interconnection studies and identify creative pathways to remove roadblocks and expedite projects. Commercial & Strategic Growth - Identify and pursue new service lines and products. - Support proposal and RFP development efforts. - Contribute to EMT thought leadership through conferences, technical papers, and industry forums. - Drive the development of internal tools and analytics that strengthen EPE’s position in the market. Qualifications Bring your passion, here's what’s needed: Qualifications - Minimum 6 years of experience in the electric energy industry. - Proven ability to connect the dots between technical depth and commercial strategy. - Exceptional communicator who can influence and make decisions confidently under uncertainty. - In depth experience with EMT (ideally PSCAD) modeling of generation and load projects as well benchmarking models across various platforms. - Strong understanding of FERC, NERC and ISO interconnection requirements and standards. - Strong written and verbal communication and ability to work collaboratively and effectively with cross-functional teams. - Ability to work independently with minimal supervision. - Experience in IBR modelling and/or load modelling. Beneficial Experience - Direct experience working at an ISO, Utility or on behalf of these entities as a consultant. - Beyond EMT, it would be beneficial if the candidate has prior experience with the traditional studies performed for gen/load interconnection or transmission planning. - Real‑time simulation familiarity (OPAL‑RT, RTDS, etc) - Automation experience (Python, C#, SQL). Lead the change! Be a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century, Electric Power Engineers (EPE) has partnered with power and energy clients across the globe, providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space, we are focused on building a modern, secure, and resilient grid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy. How we support you: - Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you - Generous PTO and paid holidays - MyShare Employee Ownership Program - Work with industry leaders - 401K, up to a 4% match (100% vested from day 1) - Flexible Work including hybrid and remote possibilities base on position. Location: This position is open to remote US/Canada Travel: Occasional travel may be needed (10% or less) EPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster, and its supplement are available using the following links: EEOC is the Law Poster Third-Party Recruiting Notification EPE does not accept unsolicited resumes from third-party recruiters. Any unsolicited third-party resumes forwarded by recruiters to EPE via our career page or to any of our managers or employees will be considered public information, may be treated as a direct application from the person identified in the resume, and will not be eligible for placement fee payment to the agency. EPE will not pay a fee to a third-party recruiter or agency without a previously signed third-party agreement and has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.

• Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience a variety of content types • Establish strong partnerships with stakeholders to ladder local developments into a holistic measurement approach • Contribute new methodologies to our causal inference tooling • Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making