Senior Associate at PwC focusing on data analytics to drive insights and guide client strategies. Involves advanced techniques and collaboration on AI and GenAI solutions.
About the role
- Data Scientist within Jellyfish’s Cloud and Martech practice designing measurement and predictive analytics solutions that improve client performance. Engage with complex data challenges to assist in strategic decision-making.
Responsibilities
- Analyze large, complex datasets to identify trends, diagnose performance issues, and formulate practical recommendations.
- Apply and articulate the results of sophisticated data science methodologies, including Geo-based experiments, Media Mix Models (MMM), Causal Impact Studies, and Incrementality testing.
- Integrate and analyze marketing data from various sources, such as Google Ads, Google Marketing Platform, and CRM systems, to derive actionable insights.
- Translate complex model outputs into clear, compelling narratives using visualizations, dashboards, and structured reports.
- Design, develop, and deploy predictive and causal models aimed at boosting media performance, enhancing customer experiences, and optimizing revenue outcomes.
- Lead the creation and implementation of machine learning models specifically tailored for improving campaign effectiveness, audience segmentation, and marketing Return on Investment (ROI).
- Partner with internal teams and external platforms to advance capabilities in incrementality testing, media modeling, and privacy-safe measurement techniques.
- Collaborate closely with Cloud Engineers, Analysts, and Martech specialists to ensure seamless integration of solutions into client ecosystems.
- Research and experiment with emerging technologies and methodologies to continually advance the firm's marketing science capabilities.
- Implement cloud-based data architectures to ensure efficient storage, processing, and querying of large-scale datasets for analytical purposes.
- Build reproducible analytical workflows, maintain clear process documentation, and create scalable, repeatable frameworks for cross-client and market application.
- Champion and enforce MLOps best practices, ensuring all machine learning workflows are reliable, reproducible, and scalable.
- Mentor team members in advanced data science and machine learning techniques, cultivating a culture of continuous learning and innovation.
Requirements
- 7+ years of experience in data science, analytics, or a related quantitative field.
- Expertise in Python.
- Extensive practical experience with Google Cloud Platform (GCP) or other cloud provider services including Vertex AI, BigQuery ML, and AutoML.
- Proficiency with machine learning frameworks.
- Familiarity with marketing science methodologies including MMM (Marketing Mix Modeling), incrementality testing, attribution models, and causal inference techniques.
- Working knowledge of data visualization tools like Looker, Tableau, and PowerBI.
- Experience utilizing datasets and APIs from major platforms (e.g., Meta, Google Ads, Salesforce Marketing Cloud).
- Experience with Generative AI (GenAI) and agentic AI development is highly desired.
- Proven ability to align data science initiatives with core business objectives to enhance marketing effectiveness, optimize ad spend, and maximize ROI.
- Demonstrated leadership and mentoring skills, with a commitment to fostering a culture of continuous learning and innovation within cross-functional teams.
Benefits
- You'll be eligible to join our discretionary annual bonus scheme and 401k retirement plan.
- Have peace of mind with our healthcare, vision and dental insurance, plus short and long-term disability and life cover.
- Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
- Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn.
- Enjoy 14 weeks of paid leave for primary caregivers and 4 weeks of paid leave for secondary caregivers.
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Scientist responsible for analyzing complex data sets and developing methods to create actionable insights. Collaborate with engineering teams to improve data quality and deliver business value.
Senior Director driving product development in data science for TransUnion. Leading initiatives in AI and analytics for the Specialized Risk portfolio.
Data & Analytics Lead at AstraZeneca driving data - driven solutions in clinical product development. Leading teams and collaborating with stakeholders across global platforms.
Mid - Level Engineering Data Scientist for Boeing's Global Services Analytics team. Creating analytics models and collaborating on health management solutions for KC - 46 platform.
AI expert managing predictive modeling and statistical validation for TEHORA. Integrating predictive models into API architecture and producing performance metrics.
Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.