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Internship Political Data Science Jobs in Alberta

Drilling Info

GIS Intern - 26293

Calgary, AB · On-site

This is a hands-on internship where you will work alongside a talented multidisciplinary team, gain ... Support a multidisciplinary team of data scientists, financial analysts, engineers, and developers ...

PCL Construction

Policy Analyst

Edmonton, AB

A bachelor's degree or higher in public policy, political science, government relations, economics ... Proficiency in leveraging data, reporting, visualization, and AI-assisted research tools to ...

PCL Construction

Policy Analyst

Edmonton, AB

A bachelor's degree or higher in public policy, political science, government relations, economics ... Proficiency in leveraging data, reporting, visualization, and AI-assisted research tools to ...

PCL Construction

Policy Analyst

Edmonton, AB

A bachelor's degree or higher in public policy, political science, government relations, economics ... Proficiency in leveraging data, reporting, visualization, and AI-assisted research tools to ...

RSM

Payroll and Accounting Technician

Red Deer, AB · On-site

CA$68K - CA$108K/yr

Conducting research and prepare analysis of data, reports and presentations, as required. Basic ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

RSM

Payroll and Accounting Technician

Edmonton, AB · On-site

CA$68K - CA$108K/yr

Conducting research and prepare analysis of data, reports and presentations, as required. Basic ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

RSM

Payroll and Accounting Technician

Calgary, AB · On-site

CA$68K - CA$108K/yr

Conducting research and prepare analysis of data, reports and presentations, as required. Basic ... The salary range (or starting rate for interns and associates) for this role represents numerous ...

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All JobsPolitical Data Science JobsInternship Political Data Science JobsInternship Political Data Science Jobs in Alberta

Internship Political Data Science information

What can I expect in terms of collaboration and mentorship during a political data science internship?

During a Political Data Science internship, you will typically work closely with experienced data scientists, analysts, and sometimes campaign strategists. Most teams encourage interns to participate in regular meetings, share findings, and seek feedback on their work. Mentorship is a key component, with supervisors often providing guidance on project design, data analysis techniques, and best practices. You can expect to collaborate on real-world projects, such as voter modeling or sentiment analysis, while receiving support to help you develop both technical and professional skills.

What is an internship in political data science?

An Internship in Political Data Science is a temporary, hands-on position where students or recent graduates work with data related to political science, campaigns, elections, or policy analysis. Interns typically assist with collecting, cleaning, and analyzing large datasets to uncover trends, inform strategies, or support research. This role often involves using statistical software, programming languages such as Python or R, and data visualization tools. Interns gain practical experience in applying data science methods to real-world political questions, while also learning about the intersection of technology and politics.

What are the key skills and qualifications needed to thrive as an internship political data scientist, and why are they important?

To thrive as an Internship Political Data Scientist, you generally need a strong background in statistics, data analysis, and political science, often supported by coursework or a degree in related fields. Familiarity with statistical software (such as R or Python), data visualization tools, and databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with diverse teams. These skills are important to accurately analyze political trends, inform strategic decisions, and present findings clearly to stakeholders.

What is the difference between Internship Political Data Science vs Political Data Analyst?

AspectInternship Political Data SciencePolitical Data Analyst
CredentialsTypically students or recent graduates; may require coursework in political science and data analysisBachelor's or master's in political science, statistics, or related fields; some roles prefer experience
Work EnvironmentInternship programs, often in government agencies, NGOs, or research firmsFull-time roles in government, political campaigns, or consulting firms
Industry UsageEntry-level, training-focused positions for skill developmentProfessional roles involving data analysis, reporting, and strategic insights

In summary, Internship Political Data Science positions are entry-level, training-focused roles ideal for students or recent graduates, while Political Data Analysts are full-time professionals with more experience conducting data analysis and providing strategic insights in political settings.

What are popular job titles related to Internship Political Data Science jobs in Alberta? For Internship Political Data Science jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Internship Political Data Science jobs in Alberta look for? The top searched job categories for Internship Political Data Science jobs in Alberta are:
What cities in Alberta are hiring for Internship Political Data Science jobs? Cities in Alberta with the most Internship Political Data Science job openings:
Internship Political Data Science jobs near you

Deals Real Assets, Data Engineering & Digital Solutions,Senior Associate

PwC

Calgary, AB

Full-time

Re-posted 2 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Capital Projects

Management Level

Senior Associate

Job Description & Summary

A career within Deals, Capital Projects and Infrastructure, part of our Real Assets group, will provide you with the opportunity to deliver innovative deal solutions to our clients, providing advice and support, from initiation through to completion. In short,we'rea part of helping some of the world's leading companies and governments across many industries originate, create, execute, andrealizevalue.
The Real Assets teamadvisesgovernments and businesses in the delivery of complex infrastructure and capital projects and programs. As part of our team, you'll leverage your technical expertise in data engineering and software development to build the digital tools, platforms, and data solutions that power our advisory capabilities, enabling clients to optimize capital programs, ensure project success, and navigate constrained budgets or challenging situations.

The Opportunity:

As a Deals, Real Assets Senior Associate - Data Engineering & Digital Solutions, unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevate your career. Your role will include, butisn'tlimited to:

  • Data Engineering & Pipeline Development

  • Architect, design, and develop robust, end-to-end data pipelinesutilizingAzure Data Factory, Azure Databricks, and Azure Synapse Analytics

  • Design and implement data models within Azure Data Lake,leveragingMedallion Architecture and building complex business logic into scalable, efficient transformations

  • Develop processes to ingest data from a wide variety of sources, including relational databases (SQL, Oracle), APIs, flat files, and project management systems

  • Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions to ensure quality and rapid deployment

  • Monitor, troubleshoot, andoptimizedata solutions for performance, scalability, and cost-effectiveness

  • Proactivelyidentifyand resolve performance bottlenecks in data pipelines, data partitioning strategies, and cost-control measures across Azure data services

  • Lead the development, build, and maintenance of internal tools and applications using Python, including Generative AI modules, automation scripts, and data processing pipelines to enhance the team's advisory capabilities on capital projects

  • Design, develop, andmaintaincustom web-based dashboards and interactive reporting tools using HTML, CSS, JavaScript, and Python-based frameworks (e.g., Flask, Dash,Streamlit)

  • Integrate AI-driven solutions into project advisory workflows (e.g., document analysis, benchmarking, risk identification, schedule analytics)

  • Ensure data quality, integrity, and governance by implementing best practices, data validation checks, and robust documentation

  • Participatein reviewingand validatingproject schedules and budgets,forecasting ofproject performance, and performing project risk assessments,monitoringand control.

  • Assistin the preparation of proposals and development of opportunities for the CP&I practice

  • Work closely with project advisors, data analysts, and business stakeholders to understand their data requirements and deliver high-quality data solutions

  • Perform site visits and inspections as needed

  • May require work on site, including travel to remote locations

What You'll Bring:

  • Relevant years of experience in data engineering, software development, or a related technical role (internships, co-ops, and academic projects count)

  • Exposure to or interest in capital projects, engineering consulting, project management, or construction management environments is an asset

  • Ability to troubleshoot and problem-solve, with a willingness to work through ambiguous or unfamiliar technical challenges and an openness to learning new tools and adapting how you work

  • Proficiencyor working knowledge of Python with the ability to develop tools, create reusable scripts for data analysis, and build data processing pipelines

  • Familiarity with core Azure data services (e.g., Azure Data Factory, Azure Databricks

  • Understanding of or exposure to data pipeline development concepts, including data warehousing principles, and data lake architectures

  • Working knowledge of SQL with the ability to write queries to extract and transform data from relational databases

  • Experience with front-end web technologies (HTML, CSS, JavaScript) and Python-based dashboard frameworks

  • Interest in or exposure to building Generative AI modules (e.g.,leveragingAPIs such as OpenAI, Anthropic, etc.) and integrating AI-driven solutions into advisory workflows

  • Awareness of Azure security best practices

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related fieldis ideal

  • MBA orandinterest in obtaining a professional designation (e.g., PMP, P.Eng., etc.) would be an asset

  • Willingness to travel whenrequired

  • Experience with construction claims is a plus

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $58,400 - $97,500. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support yourwellbeing,through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Budgetary Management, Capital Management (CM), Capital Raising, Cash Flow Analysis, Communication, Contingency Planning, Contract Lifecycle Management, Contractor Management, Cost Estimate Preparation, Cost Management, Cost Reduction, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Management, Financial Modeling, Financial Risk Management, Inclusion, Intellectual Curiosity, Investment Management {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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