Manager, Data Science

Publicis Sapient; City of Melbourne; On-site; AUD 120,000 - 150,000; Full time

Job summary

A leading digital transformation firm is seeking a Manager of Data Science to drive solutions for clients through data analytics and AI. In this role, you will consult with clients to define business challenges and deliver advanced analytical solutions. The role requires five years of relevant experience, expertise in statistical techniques, and proficiency in programming languages including Python and SQL. Join a diverse team and contribute to impactful projects in a dynamic environment.

Benefits

Ongoing learning opportunities

Comprehensive health benefits

Generous paid leave

Wellness program

Qualifications

• Five years of experience as a data scientist.
• Passion for AI and data for business transformation.
• Experience in statistical methods and modelling techniques.
• Experience in generative AI models and platforms.
• Proficient in Python, R, and SQL.

Responsibilities

• Consult with clients to define business problems using data analytics.
• Build reporting solutions for decision-making.
• Employ advanced analytics and statistical methods in modeling.
• Establish standards in statistical analysis and data visualization.

Skills

Data Analytics

Machine Learning

Statistical Methods

Python

Client Communication

Agile Methodologies

Tools

Databricks

Tableau

Power BI

Apache Spark

Job description

Company description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers.

We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity.

United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

Overview

Manager Data Science

Role Summary :

In this role, you will help to drive the Data & AI practice by playing a critical role in delivering solutions for our clients and contributing to business development activities.

This is a hands-on role where you will apply advanced techniques for data analytics, machine learning, and AI as a core building block for our services.

You will leverage your experience across industries to understand business requirements, identify approaches and designs, and work with multi-disciplinary teams to develop solutions.

As an evangelist for Analytics, you will engage with broader data, engineering, product, and strategy practices to provide insights into best practices, emerging technologies, and techniques, ensuring that the solutions we develop are data and insight-driven.

Key Responsibilities

You will consult with clients to explore and define business problems and advise on how to apply data analytics, business intelligence, and machine learning to solve them.

You will employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production.

Bring expertise in key areas such as customer intelligence (segmentation, behavior analysis, personalization, recommender systems, forecasting).

You will build comprehensive reporting and intelligence solutions for business users and management to leverage data-driven insights for decision-making.

You will help us establish standards in statistical analysis, AI, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal).

You will support business development activities in contributing to proposals and demonstrations.

Must-Have

• Five years of relevant professional experience working as a data scientist.
• A passion for using AI and data for business transformation and a thirst to continually learn and keep pace with the latest innovations and applications.
• Experience in statistical methods and modelling techniques (e.g., Random Forests, Clustering, Linear Regression).
• Experience using & integrating generative AI models and platforms, agentic solutions, and context engineering techniques.
• Experience with programming languages (Python, R, SQL) & AI / ML platforms (e.g., Databricks, and cloud platforms such as Azure Synapse, AWS SageMaker, Google Cloud Vertex AI).
• Experience with data science, data visualization, and data analysis tools (e.g., scikit-learn, pandas and NumPy, Apache Spark, matplotlib, ggplot2).
• Experience working with large volume data sets and multiple data formats and interfaces (SQL, JSON, REST, Parquet, streaming, geospatial, unstructured).
• Technical knowledge of data visualization tools (Tableau & Power BI), graphing and chart libraries (e.g., matplotlib, plotly).
• Experience working in a client-facing (ideally) consulting role, having great written and verbal communication skills, and the ability to work closely with stakeholders, or having been part of a project team.
• Flexibility and the willingness to travel are required for this role, as you might need to spend time on-site with our clients.
• Experience in agile methodologies and relevant tools (Confluence, Jira, git).
• Experience working in cross-cultural and cross-disciplinary teams.

Additional information

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.

We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.