Junior Data Scientist

About WPP Media

WPP is the trusted growth partner for the worlds leading brands. With exceptional talent trusted data and intelligence and world-class partnerships all united by ourpioneeringagentic marketing platform WPP Open we help clients navigate change capture opportunity and deliver transformational growth.

WPP Media is WPPs AI-driven media operating unit bringing together media data and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence clients see exactly where how and why their media investment is working.

For more information visit .

Job Title: Junior Data Scientist (Bayesian Modeling & MMM)

Location: Toronto ON (Hybrid)

Experience Level: Entry-Level

About WPP Media:

WPP is the creative transformation company. We use the power of creativity to build better futures for our people planet clients and communities. For more information visit .

WPP Media is WPPs global media a world where media is everywhere and in everything we bring the best platform people and partners together to create limitless opportunities for growth. For more information visit .

At WPP Media we believe in the power of our culture and our people. Its what elevates us to deliver exceptional experiences for both our clients and each this role it will be critical to embrace WPP & WPP Medias shared core values:

• BeExtraordinarybyLeading CollectivelytoInspire transformational Creativity.
• Create anOpenenvironment byBalancing People and Client ExperiencesbyCultivating Trust.
• LeadOptimisticallybyChampioning Growthand DevelopmenttoMobilize the Enterprise.

About the Role:

We are looking for a Junior Data Scientist with a strong foundation in Bayesian statistics and Marketing Mix Modeling (MMM) to join our analytics team. You will support the development of advanced models that drive data-informed decisions across marketing customer analytics and business strategy.

Key Responsibilities:

Develop and implement Bayesian statistical models for business and marketing use cases

Assist in building and maintaining Marketing Mix Models (MMM) to evaluate channel effectiveness

Perform data cleaning feature engineering and exploratory data analysis (EDA)

Support model validation testing and performance monitoring

Translate complex analytical results into clear business insights and recommendations

Collaborate with cross-functional teams including marketing product and finance

Create dashboards and visualizations using tools like Tableau Power BI or Python libraries

Document methodologies assumptions and model outputs for stakeholders

Required Qualifications:

Bachelors or Masters degree in Data Science Statistics Mathematics Computer Science or related field

Strong understanding of Bayesian statistics (priors posteriors inference techniques)

Familiarity with Marketing Mix Modeling (MMM) concepts and frameworks

Proficiency in Python or R (e.g. pandas NumPy PyMC Stan scikit-learn)

Knowledge of SQL for data extraction and manipulation

Understanding of statistical modeling and machine learning basics

Strong analytical and problem-solving skills

Preferred Qualifications:

Experience with Bayesian modeling libraries (PyMC Stan TensorFlow Probability)

Exposure to causal inference and experimental design

Familiarity with marketing analytics (attribution ROI lift modeling)

Experience working with time-series data

Knowledge of cloud platforms (AWS Azure GCP)

Soft Skills:

Strong communication and storytelling ability

Attention to detail and structured thinking

Ability to work in a fast-paced collaborative environment

Nice to Have:

Internship/project experience in marketing analytics or financial analytics

Experience working with large datasets and real-world business problems

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work and were just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions grow their networks and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins sharing thought leadership and celebrating holidays and milestone events. Our benefits include competitive medical group retirement plans vision and dental insurance significant paid time off preferential partner discounts and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when were together fostering creativity collaboration and connection. Thats why weve adopted a hybrid approach with teams in the office around four days a week. If you require accommodations or flexibility please discuss this with the hiring team during the interview process.

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While we appreciate all applications received only those candidates selected for an interview will be contacted.

Please read our Privacy Noticefor more information on how we process the information you provide.