Customer Analytics Management Consultant

Data Scientist at frog, Part of Capgemini

Why join frog? Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience through design, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and design innovative, sustainable solutions that touch hearts and move markets. frogs prize humor, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to Make Your Mark on every project, in your studio, your community—and the world at large.

Job Description: Data Scientist

We are seeking an experienced Data Scientist 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 – relational, NoSQL, and knowledge graph (Neo4J).
• Proven ability to manipulate, process, and extract value from large, disconnected datasets.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey complex1 technical concepts to non-technical audiences.

It Would Be a Bonus If You Had:

• Bachelor or Master’s degree. in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data science/ML services.
• Experience in deploying machine learning models into production.
• Knowledge of deep learning techniques and their applications.
• Experience working in a design-centric or consulting environment.
• A portfolio of data science projects or contributions to open-source projects.

About Capgemini Invent

As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000 strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth.

Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want