frog Data Science Analysis & Insights - Sr. Consultant

About Capgemini Invent:

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

frog is a leading global creative consultancy, part of Capgemini Invent.  We challenge the status quo to craft and build human experiences that win hearts and move markets. Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer centric transformation.  Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet.

YOUR ROLE

We are seeking an experienced Data Science Strategist & Insights Consultant to join our team at frog, part of Capgemini. In this role, you will be pivotal in designing and implementing data models, machine learning algorithms, and statistical analyses to extract deep insights and drive predictive actions. You will collaborate with cross-functional teams of designers, strategists, and engineers to tackle challenging problems, develop data-driven solutions, and contribute to the creation of impactful products and experiences.

Key Responsibilities:

• Advanced Data Analysis & Modeling:
• Design, develop, and deploy machine learning models (e.g., for classification, regression, clustering, NLP) and statistical models to address business challenges and client needs.
• Conduct in-depth exploratory data analysis on large, complex datasets (structured and unstructured) to identify significant patterns, trends, and opportunities.
• Develop and test hypotheses using rigorous statistical methods.
• Stay abreast of and apply cutting-edge techniques in machine learning, AI, and statistical modeling.
• Insight Generation & Communication:
• Translate complex analytical findings and model outputs into clear, actionable insights and compelling narratives for diverse audiences, including technical and non-technical stakeholders.
• Create effective data visualizations and presentations to communicate results and recommendations.
• Collaborate with client-facing teams to understand requirements and ensure data science solutions align with strategic goals.

• Cross-Functional Collaboration & Innovation:
• Partner with data engineers, data analysts, designers, and strategists to integrate data science solutions into broader project deliverables.
• Contribute to the innovation of new data-driven products, services, and methodologies within frog.
• Actively participate in knowledge sharing and contribute to the growth of the data science practice.

We Want You to Have:

• 5+ years of hands-on experience in a Data Scientist role, applying machine learning techniques to solve real-world problems.
• Strong proficiency in programming languages commonly used in data science, such as Python or R.
• Expertise in machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
• Solid understanding of statistical analysis, hypothesis testing, experimental design, and predictive modeling.
• Experience with SQL and working with large datasets and databases (both relational and NoSQL).
• Proven ability to manipulate, process, and extract value from large, disconnected datasets.