Data Scientist, Investment Analytics

Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients.

You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence!

Your primary responsibilities will include:

• Analyse data to discover hidden trends; deliver insights with clear applicable recommendations.
• Dedicate time to explaining and promoting the use of data science methodologies such as Geo-based Incrementally. Experiments, Media Mix Models, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
• Develop, and implement predictive models to improve and improve media performance, customer experiences, revenue generation, and other outcomes.
• Work with platform partners to grow the suite of mathematical techniques for Incrementally Testing, Media Mix Modeling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients.
• Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation.

• Fluency in English.
• Programming proficiency in Python and SQL.
• 3+ years of experience in a data role.
• Proficiency in visualising data using Tableau, Looker, Matplotlib, or equivalents.
• Knowledge of the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
• Experience analysing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics, .
• Familiarity with media measurement solutions, such as media mix modelling, incrementally, and attribution models.
• You seek and implement solutions to improve and automate processes.
• An understanding of machine learning concepts is great—hands-on experience is a bonus.
• A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.
• Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.

Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

💰 Reward: You'll be eligible to join our discretionary annual bonus scheme.

💫 Custom Work Environment:  Work remotely with flexible working hours including evening and night shifts.

📈 Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to LinkedIn Learning with unlimited online courses

🏦 Jellyfish contributes to your retiral benefits via Provident Fund (PF) contribution

Jellyfish provides best in class group medical insurance & life insurance cover to employees

Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to talentacquisition@jellyfish.com.

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