409 Data Analysis jobs in British Columbia
Manager, Business Intelligence and Systems Integration
Posted today
Job Viewed
Job Description
Job Description
Salary:
Important Info
- Location: Canada or the United States
- Work arrangement: Hybrid, full-time
Ready to build the future of robotics with us?
We are seeking an experienced Manager of Business Intelligence & Systems Integration to lead the companys evolution toward a more connected, insight-driven enterprise. This role sits at the intersection of data engineering, business process automation, and enterprise systemsowning the strategy, execution, and culture shift required to turn disparate data and manual processes into a unified, high-impact platform for decision support. If youre driven by innovation, excited by cutting-edge technology, and thrive in a collaborative environment, we want to hear from you!
What youll do:
Reporting to the CFO (and partnering closely with other executives), you will drive the roadmap for Business Intelligence, data governance, and systems integration. You will ensure our technology platforms support scalable processes, actionable dashboards, and strategic insights while maintaining security, compliance, and reliability.
We are a fast-growing technology startup transforming our industry with innovative autonomous robotics and data-driven solutions. As we scale, we are investing heavily in integrated systems, business process mapping, and data visibility to unlock better insights and decision making across every function of the company.
What were looking for:
- Bachelors degree in Information Technology, Data Science, Engineering, or a related field (Masters preferred).
- 10+ years of progressive leadership in Business Intelligence, Data Engineering, and/or Systems Integration, including at least 5 years at the Manager level or above.
- Proven track record delivering enterprise-grade data and analytics solutions and driving system transformations in a growing organization.
- Strong expertise in:
- Cloud data platforms (Azure, AWS, or GCP) and tools such as Databricks, Snowflake, or Synapse.
- Business Intelligence tools (Power BI, Tableau, Domo, Qlik).
- ERP/CRM configuration and integration (Epicor, Salesforce, or similar).
- API development, orchestration, and integration patterns.
- Excellent communication and stakeholder engagement skills; able to translate complex technical concepts into actionable business insights.
- Successfully complete pre-employment onboarding requirements that may include criminal/civil background checks
Bonus points if you have:
- Experience leading enterprise-wide digital transformation initiatives.
- Familiarity with modern data architectures (data mesh, data fabric, data lakehouse).
- Knowledge of ITIL, Agile, or SAFe methodologies.
Professional certifications in cloud/data platforms or integration (e.g., Azure Architect, MuleSoft Integration Architect). - Experience in industries with complex manufacturing and field-service data streams.
Why you'll love working here:
- Work with innovative robotics technology thats shaping the future of autonomous cleaning
- Grow alongside a fast-expanding company with exciting career development opportunities
- Collaborate with a global team and be part of a dynamic, diverse, and inclusive workforce
- Access comprehensive benefits including health, dental, and wellness coverage
- Thrive in a collaborative environment where your ideas and contributions truly matter
About Avidbots:
Avidbots is a leader in autonomous cleaning solutions, transforming the way commercial and industrial spaces maintain cleanliness. Our robots, including Neo 2 and Kas, combine advanced navigation and data-driven insights to deliver efficient, sustainable cleaning across industries like retail, airports, and warehouses.
***Applicants must be currently authorized to work in Canada/US for any employer
Diversity & Inclusion at Avidbots:
Avidbots is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We celebrate the unique perspectives that come from our multicultural team, including our roots as a company founded by international students. Our leadership holds the same standards of respect and inclusivity as every team member. We pride ourselves on providing a safe, respectful environment free from discrimination or hate, and we embrace diversity in all its forms whether race, religion, gender, or sexual orientation.
If you require accommodation during the recruitment process, please let us know. Were happy to provide support.
Business Intelligence Engineer, IT PnD Data and Analytics
Posted 12 days ago
Job Viewed
Job Description
IT PnD Data and Analytics is seeking a Business Intelligence Engineer to join our BI team.
As a Business Intelligence Engineer with our team, you will be working in a large, complex and dynamic, data-driven environment. You will be responsible for developing automated metrics that provide relevant insight to organizational leaders, building and maintaining dashboards, and performing complex data analytics.
This position requires the candidate to develop a deep understanding of the organization and key goals, earn trust with senior leadership, influence without authority, and provide relevant data insights.
To succeed, you must have the ability to engage deeply with diverse and talented business partners, earn trust using facts and data, and advise and influence decisions of senior business leaders through effective verbal and written communication.
This candidate must possess excellent analytical skills, project management experience, and a track record of delivering results in a complex and ambiguous environment.
Key job responsibilities
- Perform complex business analysis to help drive organizational decision-making
- Complete root cause analysis and provide recommendations to senior leadership to address opportunities
- Develop automated metrics that will give senior business leaders insight into the performance of their respective teams and the organization as a whole
- Develop and maintain Tableau dashboards
- Develop key metrics and shared goals that determine success for a particular area
- Take on shared ownership of the weekly organizational metrics scorecard
A day in the life
A day in the life of a BI engineer at IT PnD involves building large-scale reporting solutions using tools like Tableau and QuickSight. The day typically starts with a team stand-up to align on priorities, followed by deep work on developing and refining data transformation, building reports and automating processes. Collaboration with data scientists, analysts, and stakeholders is key to ensure the delivery of right metrics. The day ends with monitoring, code reviews, and documenting progress, all while keeping scalability, efficiency, and Amazon's high standards for data quality in mind.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience in the data/BI space
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Mid-Level Business Intelligence Analyst (BI Analysis)
Posted 1 day ago
Job Viewed
Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
**Boeing Canada Operations Ltd** . is seeking a **Mid-Level Business Intelligence Analyst** to join Our team in **Canada.** This position will focus on the Safety Data Analytics (SDA) program within Boeing Global Services (BGS).
The work is a one-of-a-kind organization with fascinating solutions that make a difference for real people all around the world and at every second of the day. You will be surrounded by extremely smart and talented colleagues who will be up for any challenge - and who will not hesitate to challenge you.
A successful candidate will be a self-starter who understands the importance of collaboration. This position will be responsible for developing and maintaining BI and reporting tools that are used to communicate data-driven insights to customers around the globe.
**Position Responsibilities:**
+ Develops and maintains tools and dashboards that are used to report trends and benchmarks, in flight recorder data to enhance flight safety.
+ Develops and maintains Python packages and Power BI / Tableau dashboards that report insights from large, cloud-based datasets to cross-functional analytics team members and aircraft operators in an easily digestible and actionable manner
+ Works with internal stakeholders to maintain, communicate, grow, and execute a roadmap of BI and reporting capabilities that include both functional and performance enhancements.
+ Scopes analytical projects, obtains relevant data, validates findings, seeks alignment, and shares results.
+ Analyzes large, cloud-based datasets to identify, disposition, and explain the root cause for unanticipated data trends
+ Exercises critical thinking and innovative problem solving.
+ Ensures commitments and service levels are achieved or exceeded.
+ Develops and maintains partnerships while working in a cross-functional team of Data Engineers, Data Scientists, and Software Developers. Occasional travel may be required.
+ Demonstrates the Boeing Behaviors in a deliberate and observable way.
**This position has been identified as a virtual opportunity and will not require the selected candidate to relocate.**
**Basic Qualifications (Required Skills/Experience):**
+ Must be legally able to work in Canada
+ Individual must not pose a risk for safeguarding of controlled goods
+ Must be eligible to handle US export-controlled data
+ 3+ years of experience in developing and maintaining Python packages that automate the reporting of business insights from large datasets
+ 3+ years of experience in using Matplotlib, Seaborn, and/or Plotly to visually communicate business insights from large datasets
+ 3+ years of experience developing and maintaining Tableau or Power BI dashboards that communicate insights from large datasets
+ 2+ years of experience using complex SQL queries to identify and report business insights from large datasets
+ 2+ years of experience in using Git for version control of software
+ 2+ years of experience in developing and maintaining CI/CD pipelines
+ 2+ years of experience in analyzing and reporting data stored in parquet, csv, or orc files and SQL or NoSQL databases in Google Cloud Platform (GCP), Azure, or Amazon Web Services (AWS)
+ Candidate must be able to support our global customer base with a flexible work schedule which may include late or early meetings
**Preferred Qualifications (Desired Skills/Experience):**
+ Experience working with Azure Databricks, Delta Tables, and/or Google Cloud BigQuery
+ Experience working in a role that develops BI reporting capabilities as part of a cross-functional team that includes Data Engineering, Data Science, and/or Software Engineers
+ Experience working with aerospace datasets including onboard flight data
**Additional Information:**
This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.
**Relocation:**
This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.
**Salary pay range - $71,000 - $101,000 CAD**
**Please also submit a CV or resume written in English.**
**Applications for this position will be accepted until October 17, 2025.**
Applications for this position will be accepted until **Oct. 18, 2025**
**Export Control Requirements:** This is not an Export Control position.
**Relocation**
Relocation assistance is not a negotiable benefit for this position.
**Visa Sponsorship**
Employer will not sponsor applicants for employment visa status.
**Equal Opportunity Employer:**
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 ( and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Senior Business Intelligence Engineer, P2 Science, Data, and Insights, P2 Science, Data, and Insi...
Posted today
Job Viewed
Job Description
Description
Are you looking for a role where you have the opportunity to shape Amazon's Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.
Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer's trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate Insights and drive growth discussions with Product teams.
- Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in reporting, analyses, data quality and modeling.
About The Team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience using AWS services such as EC2, S3, Glue, Redshift, QuickSight, Lookout, Bedrock, Lambda, Step functions and SageMaker.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Company
- Amazon Development Centre Canada ULC
Job ID: A
Senior Business Intelligence Engineer, P2 Science, Data, and Insights, P2 Science, Data, and Insi...
Posted 15 days ago
Job Viewed
Job Description
Are you looking for a role where you have the opportunity to shape Amazon's Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.
Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer's trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate Insights and drive growth discussions with Product teams.
- Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience using AWS services such as EC2, S3, Glue, Redshift, QuickSight, Lookout, Bedrock, Lambda, Step functions and SageMaker.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Data Science Intern
Posted 2 days ago
Job Viewed
Job Description
About WillHire
WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data Science vertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort .
Role Overview
As an Data Science Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards.
Key Responsibilities
- Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets
- Build predictive models for talent forecasting, attrition risk, and candidate success scores
- Develop data visualizations, dashboards, and reports using Python, SQL & BI tools
- Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies
- Work with time-series & cohort data for trend analysis and performance metrics
- Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines
- Communicate findings & recommendations with clear visual and written formats to stakeholders
Requirements
- Pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
- Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
- Familiarity with SQL for querying relational datasets
- Sound understanding of ML fundamentals – supervised/unsupervised learning methods
- Strong statistics foundation – distributions, hypothesis testing, probability
- Ability to interpret data, derive insights, and present conclusions clearly
- Strong communication skills, ownership mindset & enthusiasm to learn
Nice to Have (Bonus)
- Knowledge of BI tools (Power BI / Tableau / Looker / Metabase)
- Basics of cloud platforms (AWS/GCP/Azure) or Docker
- Prior exposure to HR analytics or recruitment datasets
What You’ll Get
- Practical exposure to solving real-world data problems in HR Tech
- Experience working on high-impact product features used by recruiters and hiring managers
- 1:1 mentorship by experienced data scientists and access to premium resources
- Internship Certificate & Letter of Recommendation upon successful completion
- Opportunity for a Pre-Placement Offer (PPO) at WillHire or client companies
Hiring Process
Online Application
- Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience
Technical Assessment
- Assignment to test Python, SQL, EDA, or modeling approach
Technical Interview
- In-depth discussion (45 mins) on your ML/stats understanding & problem-solving
Managerial Interview
- Evaluate communication skills, culture fit & motivation
Offer
- Selected applicants receive the internship offer with stipend details & project allocation
Onboarding
- Orientation, project assignment & setup with tools and mentors
Stipend
Minimum stipend starts at $25/hour , with the possibility of a higher rate based on performance in the interviews.
Data Science Intern
Posted 2 days ago
Job Viewed
Job Description
About WillHire
WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data Science vertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort .
Role Overview
As an Data Science Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards.
Key Responsibilities
- Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets
- Build predictive models for talent forecasting, attrition risk, and candidate success scores
- Develop data visualizations, dashboards, and reports using Python, SQL & BI tools
- Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies
- Work with time-series & cohort data for trend analysis and performance metrics
- Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines
- Communicate findings & recommendations with clear visual and written formats to stakeholders
Requirements
- Pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
- Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
- Familiarity with SQL for querying relational datasets
- Sound understanding of ML fundamentals – supervised/unsupervised learning methods
- Strong statistics foundation – distributions, hypothesis testing, probability
- Ability to interpret data, derive insights, and present conclusions clearly
- Strong communication skills, ownership mindset & enthusiasm to learn
Nice to Have (Bonus)
- Knowledge of BI tools (Power BI / Tableau / Looker / Metabase)
- Basics of cloud platforms (AWS/GCP/Azure) or Docker
- Prior exposure to HR analytics or recruitment datasets
What You’ll Get
- Practical exposure to solving real-world data problems in HR Tech
- Experience working on high-impact product features used by recruiters and hiring managers
- 1:1 mentorship by experienced data scientists and access to premium resources
- Internship Certificate & Letter of Recommendation upon successful completion
- Opportunity for a Pre-Placement Offer (PPO) at WillHire or client companies
Hiring Process
Online Application
- Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience
Technical Assessment
- Assignment to test Python, SQL, EDA, or modeling approach
Technical Interview
- In-depth discussion (45 mins) on your ML/stats understanding & problem-solving
Managerial Interview
- Evaluate communication skills, culture fit & motivation
Offer
- Selected applicants receive the internship offer with stipend details & project allocation
Onboarding
- Orientation, project assignment & setup with tools and mentors
Stipend
Minimum stipend starts at $25/hour , with the possibility of a higher rate based on performance in the interviews.
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Data Science Intern
Posted 2 days ago
Job Viewed
Job Description
About WillHire
WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data Science vertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort .
Role Overview
As an Data Science Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards.
Key Responsibilities
- Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets
- Build predictive models for talent forecasting, attrition risk, and candidate success scores
- Develop data visualizations, dashboards, and reports using Python, SQL & BI tools
- Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies
- Work with time-series & cohort data for trend analysis and performance metrics
- Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines
- Communicate findings & recommendations with clear visual and written formats to stakeholders
Requirements
- Pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
- Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
- Familiarity with SQL for querying relational datasets
- Sound understanding of ML fundamentals – supervised/unsupervised learning methods
- Strong statistics foundation – distributions, hypothesis testing, probability
- Ability to interpret data, derive insights, and present conclusions clearly
- Strong communication skills, ownership mindset & enthusiasm to learn
Nice to Have (Bonus)
- Knowledge of BI tools (Power BI / Tableau / Looker / Metabase)
- Basics of cloud platforms (AWS/GCP/Azure) or Docker
- Prior exposure to HR analytics or recruitment datasets
What You’ll Get
- Practical exposure to solving real-world data problems in HR Tech
- Experience working on high-impact product features used by recruiters and hiring managers
- 1:1 mentorship by experienced data scientists and access to premium resources
- Internship Certificate & Letter of Recommendation upon successful completion
- Opportunity for a Pre-Placement Offer (PPO) at WillHire or client companies
Hiring Process
Online Application
- Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience
Technical Assessment
- Assignment to test Python, SQL, EDA, or modeling approach
Technical Interview
- In-depth discussion (45 mins) on your ML/stats understanding & problem-solving
Managerial Interview
- Evaluate communication skills, culture fit & motivation
Offer
- Selected applicants receive the internship offer with stipend details & project allocation
Onboarding
- Orientation, project assignment & setup with tools and mentors
Stipend
Minimum stipend starts at $25/hour , with the possibility of a higher rate based on performance in the interviews.
Data Science Intern
Posted 2 days ago
Job Viewed
Job Description
About WillHire
WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data Science vertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort .
Role Overview
As an Data Science Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards.
Key Responsibilities
- Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets
- Build predictive models for talent forecasting, attrition risk, and candidate success scores
- Develop data visualizations, dashboards, and reports using Python, SQL & BI tools
- Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies
- Work with time-series & cohort data for trend analysis and performance metrics
- Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines
- Communicate findings & recommendations with clear visual and written formats to stakeholders
Requirements
- Pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
- Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
- Familiarity with SQL for querying relational datasets
- Sound understanding of ML fundamentals – supervised/unsupervised learning methods
- Strong statistics foundation – distributions, hypothesis testing, probability
- Ability to interpret data, derive insights, and present conclusions clearly
- Strong communication skills, ownership mindset & enthusiasm to learn
Nice to Have (Bonus)
- Knowledge of BI tools (Power BI / Tableau / Looker / Metabase)
- Basics of cloud platforms (AWS/GCP/Azure) or Docker
- Prior exposure to HR analytics or recruitment datasets
What You’ll Get
- Practical exposure to solving real-world data problems in HR Tech
- Experience working on high-impact product features used by recruiters and hiring managers
- 1:1 mentorship by experienced data scientists and access to premium resources
- Internship Certificate & Letter of Recommendation upon successful completion
- Opportunity for a Pre-Placement Offer (PPO) at WillHire or client companies
Hiring Process
Online Application
- Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience
Technical Assessment
- Assignment to test Python, SQL, EDA, or modeling approach
Technical Interview
- In-depth discussion (45 mins) on your ML/stats understanding & problem-solving
Managerial Interview
- Evaluate communication skills, culture fit & motivation
Offer
- Selected applicants receive the internship offer with stipend details & project allocation
Onboarding
- Orientation, project assignment & setup with tools and mentors
Stipend
Minimum stipend starts at $25/hour , with the possibility of a higher rate based on performance in the interviews.