Data Scientist – Manulife – Toronto, ON

Company: Manulife

Location: Toronto, ON

Expected salary:

Job date: Wed, 26 Feb 2025 04:49:54 GMT

Job description: The OpportunityPartner with senior data scientists and business collaborators to improve actuarial risk models, streamline financial operations, optimize HR processes, and drive digital marketing campaigns! Applying brand new analytics and GenAI technologies, you will discover opportunities, build high-impact models, and seamlessly integrate solutions into existing workflows across various corporate functions.You will be at the forefront of our digital transformation journey, championing data-driven decision-making and fostering a culture of continuous improvement. Develop technical skills and gain business insight through collaboration on strategic objectives with cross-functional teams.ResponsibilitiesHolistic Advanced Analytics

  • Work together with actuaries, finance, HR, digital marketing, and IT teams to build and deploy solutions, such as predictive models, machine learning algorithms, and GenAI applications.
  • Translate complex business challenges into analytical frameworks and deliver actionable insights that drive innovation and efficiency.

GenAI & Automation

  • Research and apply Generative AI techniques to automate manual processes, improve data interpretation, and introduce brand new solutions for multiple business domains.
  • Experiment with emerging tools and technologies to maintain a forward-looking approach in analytics and AI.

Data Exploration & Model Development

  • Analyze large-scale structured and unstructured datasets from across corporate functions, uncovering patterns and relationships that inform model building.
  • Develop, test, and refine predictive and prescriptive models that support risk assessment, financial forecasting, marketing optimization, and operational improvements.

Cross-Functional Integration

  • Work closely with a diverse set of stakeholders—from actuaries and finance professionals to HR leaders and digital marketing managers—to ensure insights are effectively integrated into their respective processes.
  • Provide mentorship on standard methodologies for data and collaborate with IT teams to deploy solutions in scalable production environments.

Performance Tracking & Continuous Improvement

  • Monitor and evaluate the performance of models post-deployment, making adjustments to enhance accuracy, reliability, and business value.
  • Incorporate user feedback and evolving business needs to refine analytics strategies and maintain alignment with organizational goals.

Data Governance & Security

  • Adhere to data governance, security, and privacy standards while handling sensitive corporate and employee data.
  • Ensure compliance with relevant regulations and internal policies across multiple functional areas.

Communication & Partner Engagement

  • Communicate complex data science concepts and findings in simple, non-technical terms to help decision-makers act on analytics-based recommendations.
  • Encourage a data-savvy culture by mentoring and enabling non-technical teams to bring to bear analytics tools and insights effectively.

Collaboration & Mentorship

  • Contribute to peer reviews of models and code, ensuring quality control and knowledge sharing within the data science community.
  • Share standard methodologies, stay current on industry trends, and cooperate with senior team members to continually enhance the team’s capabilities.

What motivates you?

  • You obsess about customers, listen, engage and act for their benefit.
  • You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
  • You thrive in teams and enjoy getting things done together.
  • You take ownership and build solutions, focusing on what matters.
  • You do what is right, work with integrity and speak up.
  • You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking forEducational Background

  • Master’s or PhD degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience).

Technical Proficiency

  • Solid experience in at least one programming language commonly used in data science (e.g., Python or R).
  • Familiarity with data manipulation, visualization, and machine learning libraries and frameworks.
  • Experience with cloud platforms (Azure, AWS, GCP) or big data frameworks (Spark, Hadoop) is a plus.

Analytical & Problem-Solving Skills

  • Strong ability to analyze complex datasets, identify patterns, and translate findings into robust, scalable solutions.
  • Comfort in applying statistical and machine learning techniques to real-world challenges in actuarial, finance, HR, marketing, or related domains.

Collaboration & Communication

  • Proven track record of working effectively in cross-functional teams; strong verbal and written communication skills.
  • Ability to present technical concepts to varied audiences, influencing partners to adopt data-driven practices.

Adaptability & Growth Mindset

  • Willingness to learn new technologies and continuously improve your skills.
  • Eagerness to work on multiple projects simultaneously in a fast-paced, evolving environment.

Business Insight

  • Basic understanding of corporate functions (Finance, Actuarial, HR, Marketing, IT) and how data analytics can address their unique needs.
  • Enthusiasm for exploring how AI and GenAI can streamline and optimize business processes.

What can we offer you?

  • A competitive salary and benefits packages.
  • A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
  • A focus on growing your career path with us.
  • Flexible work policies and strong work-life balance.
  • Professional development and leadership opportunities.

Our commitment to you

  • Values-first culture: We lead with our Values every day and bring them to life together.
  • Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
  • Continuous innovation: We invite you to help redefine the future of financial services.
  • Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
  • Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

#LI-HybridAbout Manulife and John HancockManulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .Manulife is an Equal Opportunity EmployerAt Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .Primary Location Toronto, OntarioWorking ArrangementHybridSalary range is expected to be between $75,880.00 CAD – $140,920.00 CADIf you are applying for this role outside of the primary location, please contact for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions.

This content outlines an opportunity to partner with data scientists and business collaborators to improve actuarial risk models, streamline financial operations, optimize HR processes, and drive digital marketing campaigns using advanced analytics and GenAI technologies. The responsibilities include developing predictive models, automating processes with Generative AI, analyzing data, integrating insights across functions, tracking performance, and ensuring data governance and security. The ideal candidate should have a master’s or PhD in a related field, technical proficiency in programming languages, analytical skills, collaboration abilities, adaptability, and a basic understanding of corporate functions. The company offers competitive salary and benefits, growth opportunities, flexible work policies, professional development, and a commitment to diversity, equity, and inclusion. Manulife is an Equal Opportunity Employer with a focus on values, innovation, diversity, and corporate citizenship. The primary location is in Toronto, Ontario, with a hybrid working arrangement. The salary range varies by location and factors such as skills, qualifications, and experience. Eligible employees receive a range of customizable benefits, retirement savings plans, and paid time off.

Environmental Scientist – Dillon Consulting Limited – Halifax, NS

Company: Dillon Consulting Limited

Location: Halifax, NS

Expected salary:

Job date: Fri, 21 Feb 2025 05:18:50 GMT

Job description: consulting or related industrial experience as an environmental professional and project manager. Knowledge of applicable… demands of work and personal life. Responsibilities: What your day will look like Project Management & Implementation…

The content provides an overview of the responsibilities and daily tasks of an environmental professional and project manager with consulting experience. The role involves project management, implementation, and knowledge of applicable environmental regulations, requiring a balance between work and personal life.

Huawei – Intern Research Scientist – AI Software Development (Graduate Level) – Markham, ON

Company: Huawei

Location: Markham, ON

Expected salary:

Job date: Wed, 15 Jan 2025 00:52:41 GMT

Job description: Huawei Canada has an immediate internship opening for a Research Scientist.About the team:The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high-impact products and cutting-edge research, we aim to enhance user experiences and interactions with technology.About the job:

  • Develop novel solutions and perform extensive evaluation of prototypes contributing to Huawei’s next-generation products, including but not limited to smartphones, smart watches, smart eyewear, laptops, tablets, TVs, and smart devices.
  • Idea generation with research mentors, review literature and existing solutions of a challenging real-world research problem.
  • Present research outcomes to internal and/or external audiences.
  • Collaborate with researchers and product teams to implement research findings into products.

About the ideal candidate:

  • Currently has, or is in the process of obtaining, a PhD/Master degree in the field of Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field.
  • Experience in digital signal processing fundamentals, such as time-frequency analysis, convolutions and filtering.
  • Research and/or work experience in Machine Learning or Deep Learning.
  • Experience with Deep Learning software for Python, e.g. PyTorch, HuggingFace, or TensorFlow.
  • Experience with designing and overseeing human-subject experiments, particularly involving human-computer interaction.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ICASSP, INTERSPEECH, ICML, ICLR, NeurIPS, ACL, EMNLP, POPL, or similar is an asset.

Stripe – PhD, Data Scientist Intern – Toronto, ON – Chicago, IL

Company: Stripe

Location: Toronto, ON – Chicago, IL

Expected salary:

Job date: Sat, 15 Feb 2025 07:38:40 GMT

Job description: Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies-from the world’s largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.About the teamOur Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.What you’ll doAbout the internship experienceOur internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.Each intern has a dedicated mentor, and every intern project is part of the team’s roadmap that will directly contribute to Stripe’s mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.We’re not just focused on your immediate contributions; we’re invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.ResponsibilitiesYou will:

  • Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
  • Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
  • Influence business actions and strategy by developing actionable insights through metrics and dashboards.
  • Drive the collection of new data and the refinement of existing data sources.
  • Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
  • Present your work to the Data Science team, partner teams, and fellow interns

Who you areMinimum requirementsWe’re looking for someone who has:

  • Enrolled in a quantitative PhD program (e.g. Mathematics, Science, Engineering, Economics, Statistics, or Computer Science) with the expectation of graduating in winter 2025 or spring/summer 2026
  • Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
  • Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
  • Experience communicating and collaborating with multidisciplinary stakeholders in a team environment

Preferred qualificationsYou also likely have:

  • Experience writing and debugging data pipelines
  • Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
  • Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

**This role is not eligible for hire in the Greater Seattle Area, San Francisco Bay Area, or New York City. We are hiring these positions in Chicago, IL or Toronto, Ontario, Canada.Hybrid work at StripeOffice-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefitsThe annual US base salary range for this role is $161,200 – $161,200. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.Office locationsToronto, or ChicagoTeamData & Data ScienceJob typeIntern

Celestica – Student Intern, SCM Data Scientist – Toronto, ON

Company: Celestica

Location: Toronto, ON

Expected salary:

Job date: Sat, 08 Feb 2025 06:17:41 GMT

Job description: Req ID: 122912
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto16 Month InternshipCelestica (NYSE, TSX: CLS) is a US$7.9 billion global leader in design, manufacturing, hardware platform and supply chain solutions. We bring global expertise and insight at every stage of product development – from the drawing board to full-scale production and after-market services. Through our unrivalled customer-centric approach, we partner with leading companies in aerospace and defense, communications, enterprise, healthtech, industrial, capital equipment, and smart energy to deliver solutions for their most complex challenges.Celestica is a high-integrity work environment and when you join Celestica you are a part of a leading global company that enables the world’s best brands, and contributes to our innovative and collaborative solutions that help our customers unlock the potential of the future.Our global network spans 15 countries with 26,000 employees across the Americas, Europe and Asia. At our Toronto headquarters, we are focused on attracting top talent into our organization, including interns from universities and colleges.Celestica’s internship program provides students with valuable development through real-life work experience, exciting projects and networking with industry professionals.Benefits for Students Include:

  • Experience working for one of the largest Canadian global technology companies
  • Possibility of a student casual contract position after completion of internship
  • Possibility of a full-time position after completion of degree
  • Access to Celestica’s development programs and projects
  • Celestica’s Time Off to Volunteer program – two paid days off to volunteer per year
  • Fun intern activities including celebration events and networking
  • Internal recognition programs and rewards for stellar performance

What’s in it for you?

  • Opportunity: Job experience at a large Canadian-based global company
  • Innovation: We look to our employees to implement new ideas and improve the way we do things
  • Collaboration: Students work as part of global teams, enabled by collaborative technology
  • Sustainability: We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
  • Development opportunities: including soft skills courses, innovation projects and mentorship
  • Networking: Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
  • Fun: Our interns have the opportunity to participate in fun activities including intern social events, Celestica’s charitable initiatives and our Spirit Week activities

About this Opportunity:As the Student Intern, SCM Data Scientist, you will be joining a team that embraces data and technology to develop advanced and innovative solutions. The team works with the Strategic Sourcing and Source to Contract organizations. In this role, you will engage with cross functional business partners and facilitate building data pipelines and analytics projects.Preferred Skills:Experience using the following services/tools:Microsoft Azure cloud services: Azure Data Factory, Azure DatabricksGoogle Cloud Platform: BigQuery, Cloud Storage, and other services.Power BI platformsPython.Relational SQL databases.Auto ML toolsMachine Learning algorithmsThe ability to quickly familiarize yourself with new languages, tools, frameworks.General knowledge of the supply chain is considered an asset.Activities:

  • Support ongoing data projects for Cost Productivity, Price Productivity, and First Quote Competitiveness.
  • Data Pipeline: Gather required data, organize and manage the data, clean and prepare for modelling.
  • Data Analysis: Support and maintain Machine Learning Models for consumption by Business users.
  • Story Telling: Develop dashboards and recurring reports to translate data & information into insight.
  • Dedication to ensuring your work is well documented and version controlled.

Physical Demands

  • Duties of this position are performed in a normal office environment.
  • Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data
  • Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, using a calculator, etc).

Additional Details:Area: Global Supply ChainStart Date: May 2025Location: 5140 Yonge St. Toronto, ONVacancies: 1Experience: Currently enrolled in a University Internship program completing 3rd year of a 4-year or 4th year of a 5-year in one of the following programs: Data Science, Computer Science, Statistics. Machine Learning and/or Supply Chain Management knowledge considered an asset.To apply, please visit www.celestica.com. Please provide a copy of your transcript with your application. Please include your student email address in your application.Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Data Scientist – Machine Learning and Advanced Analytics (Remote) – Hilton Grand Vacations – Orlando, FL

Company: Hilton Grand Vacations

Location: Orlando, FL

Expected salary:

Job date: Sat, 01 Feb 2025 08:09:51 GMT

Job description: The ideal candidate for this position will have a strong background in marketing, finance, or IT, with expertise in PowerBI development. In addition, candidates should have experience working with Generative AI (GenAI) models and their APIs. The successful candidate will be responsible for utilizing their skills in these areas to drive strategic decision-making and maximize business opportunities through data analytics and innovative technology solutions. This role offers the opportunity to work on cutting-edge projects and collaborate with a talented team of professionals in a dynamic and fast-paced environment.

Larus Technologies – Data Scientist (Senior) – Ottawa, ON

Company: Larus Technologies

Location: Ottawa, ON

Expected salary:

Job date: Sun, 02 Feb 2025 02:32:29 GMT

Job description: Job SummaryFull-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (Up to 3 days per week), 70 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office, or, remote if located outside of the National Capital Region.Reporting To: Director of TechnologyLarus is growing and we are looking for talented and enthusiastic individuals to join our team over the next three to four months! We are in search of self-motivated individuals to join the Larus team as Data Scientists. Our Data Science team develops end-to-end real-time solutions for the enterprise market. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems and learn and apply new skills.Key Responsibilities

  • Design and implement scalable, distributed AI/ML-based systems;
  • Design, development, integration, and testing of AI/ML models;
  • Advocate high-quality and best practices in software design and development;
  • Close interaction with other team members on system integration and validation;
  • Perform data analysis, visualization, and modeling with large datasets;
  • Perform data acquisition, cleaning, and transformation;
  • Record and document work;
  • Meet sprint goals with the team and release deliverables to stakeholders and
  • customers; and,
  • Other duties as assigned.

QualificationsSome individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies, we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.Expected qualifications include:

  • University graduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
  • Master’s or Ph.D. is considered an asset;
  • 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines;
  • Passion for learning and solving complex problems;
  • Strong object-oriented programming in Python;
  • Strong communication skills;
  • Ability to work in a dynamic, fast-paced work environment;
  • Organized and focused; and,
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).

Technical Skill Requirements, working knowledge of:

  • Python;
  • Machine Learning and Data Mining;
  • AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch, Jax);
  • Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
  • Source control-based system (e.g. Git);
  • Trend analysis and predictive modeling; and,
  • Data collection, analysis and reporting.

Preferred Technical Skills:

  • MLOps (e.g., Kubeflow);
  • Cloud Infrastructure (e.g., Databricks, Azure);
  • Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask);
  • Software Unit Testing (e.g., Python Unittest);
  • Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops);
  • Data Visualization (e.g., matplotlib, seaborn, streamlit);
  • Optimization (e.g., optuna, katib, jmetalpy, GA); and,
  • Mathematics (e.g., linear algebra, statistics, mathematical programming).

Benefits

  • Competitive compensation package;
  • Comprehensive Health and Dental insurance package;
  • Competitive vacation and paid time off;
  • Company-sponsored team-building events; and
  • Learning and development opportunities.

About LarusLarus Technologies Corporation ( ) is an Ottawa-based software product and research company capable of developing intelligent systems and engineering simulations primarily for business, Defence and security applications. Larus’ core business areas include Data Analytics and Fusion Solutions, including the Total::Insight™ Decision Support System and the Total::Perception™ Systems Simulation Engine, Software Engineering Services, primarily in the Public Security and Defence sectors; and Research and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, and Data Science.​We invite enthusiastic and qualified applicants to submit their cover letter and resume through our JazzHR system.We thank all applicants; however, only those selected for an interview will be contacted.At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees. Larus has an accommodation process and provides accommodation for applicants with disabilities. If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.comPowered by JazzHR

Autodesk – Intern, Data Scientist – Toronto, ON

Company: Autodesk

Location: Toronto, ON

Expected salary:

Job date: Sun, 02 Feb 2025 02:25:54 GMT

Job description: Job Requisition ID #25WD85418Position Overview:Graduate internships at Autodesk will explore new areas of technology and help both Autodesk and the academic community understand how emerging technologies can be leveraged to improve creation and design processes. In the context of Architecture, Engineering, and Construction (AEC), it is crucial to emphasize the importance of representing uncertainty in emergent AI systems.Understanding and communicating the uncertainty inherent in AI predictions and decisions can significantly enhance the reliability and trustworthiness of AI applications in this field.Over the course of the internship, you will drive a project within a multidisciplinary team comprising HCI & Visualization experts, AEC designers/engineers, and materials scientists. With guidance from your mentor(s), this project will cover implementation, experimental validation, data analysis, and more. Specific areas of interest for research projects include Information Visualization, Tools, and User Interfaces for generative AI or Machine Learning systems.Responsibilities:

  • Support the research and design efforts by developing software prototypes
  • Conduct literature reviews
  • Gather requirements and issues to explore and design
  • Develop algorithms
  • Design and implement prototypes to test and explore concepts
  • Conduct usability studies, ethnographic studies, heuristic evaluations, task analyses, structured interviews and surveys to test research ideas and hypotheses.
  • Evaluate research findings and prototypes to make recommendations for impacting business and products.
  • Explore new prototyping frameworks and technologies
  • Author a full research paper
  • Produce an accompanying research video
  • Present the results of your research externally and internally

Qualifications:

  • Currently enrolled in an MSc or PhD program in Computer Science or related field, with a specialization in Human-Computer Interaction, and at least one academic term to complete post internship
  • Demonstrated expertise in the area of interactive technologies and/or uncertainty-related statistical visualization, with peer-reviewed publications on the topic in international venues.
  • Strong communication skills and teamwork experience

Preferred Qualifications:

  • Very strong technical skills in building software prototypes
  • Experience with modern generative AI tools and frameworks (e.g., GPT, Llama, Stable Diffusion, ComfyUI)
  • Experience with coding in D3 or similar data visualization libraries
  • Rapid prototyping+
  • Background in Statistics (i.e., computational probability)

Learn MoreAbout Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

Sanofi – Data and AI – Data Scientist (Catalyst) – Toronto, ON

Company: Sanofi

Location: Toronto, ON

Expected salary:

Job date: Sat, 01 Feb 2025 23:35:02 GMT

Job description: R2783604 Data and AI – Data Scientist (Catalyst)Department: Commercial Data ScienceLocation: Toronto Ontario, HybridAbout the JobLooking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide.Data and AI – Data Scientist (Catalyst) in our Corporate Functions, Digital Data Hub, the role includes translating business strategy into digital, technology, AI and ways of working strategies, driving the business forward. The Digital Strategic Partnerships team is a key group within the Digital Strategy & Operations organization of Sanofi Digital, a global enabling function within Sanofi focused on digital growth and transformation. The mission of Digital Partnering is to seek, execute, and establish partner relationships that address the Sanofi Group’s digital strategic priorities. You’ll join as one of four role types in the Sanofi Data and AI Future Catalyst Program – a 2-year program that will provide you with an unparalleled opportunity to try different projects and learn about our different pharmaceutical business domains.We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?Main Responsibilities:Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization across various analytics projectsDevelop models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologiesWork on full-spectrum of activities, from conducting ML experiments to delivering production-ready modelsUse data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data productsWork closely with product owners, developers, engineers, and MLOps to deliver AI/ML solutionsAdhere to and promote to best practices and standards for data science process (including documentation) and code developmentsRemains up to date with industry practices and emerging technologies such as generative AI and test creative ways of offering AI solutions to enhance existing solutionsAbout You:Experience: Preferable have prior experience as a data scientist through co-op or internship programsSoft and technical skills:Good exposure with core data science languages (predominantly with Python, and nice to have R & Scala), Snowflake and other different database systems (such as SQL, NoSQL)Understand the deployment of AI/ML solutions (CI/CD, Orchestration)Knowledge and some experience of working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutionsKnowledge of Tableau, Power BI, Plotly, git/version control systems or similarNice to have experience in using some data science tools such as datarobot, dataiku, AlteryxEducation: PhD in computer science, mathematics, physics, statistics or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with two years of analytical experienceWhy choose us?AI Factory – Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.Pursue Progress. Discover Extraordinary.Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.Watch our and check out our Diversity Equity and Inclusion actions at !This is an ADDITTION ​Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.#GD-SP ​
#LI-SP#LI-Hybrid#DBBCAPursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Watch our and check out our Diversity Equity and Inclusion actions at !