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.
• 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.

WHAT YOU’LL LOVE ABOUT WORKING HERE?

Empowerment:  At Capgemini Invent, we:

·       Lead the change and take initiative

·       Find the work-life balance that suites us

·       Craft or own path through learning and career development programs

Energy:  At Capgemini Invent, we:

·       Connect as a global community of 13,000+ colleagues worldwide

·       Celebrate our diverse perspectives and draw from strength from our differences

·       Have fun by providing a range of clubs, events and get togethers to celebrate our wins and successes

Experiences:  At Capgemini Invent, we:

·       Work internally and with clients to make a difference

·       Push boundaries to reimagine what’s possible

·       Work to build a more sustainable and inclusive future

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

• Flexible work 
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays 
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups 
• Disaster Relief 

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 over 30 studios and more than 60 offices around the world, it comprises a 12,500+ 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 business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Get The Future You Want

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. 

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. 

This role may be eligible for other compensation including variable compensation, bonus, or commission.Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), andany other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested,and determinable. The amount and availability of any bonus, commission, or any other form ofcompensation that are allocable to a particular employee remains in the Company's sole discretionunless and until paid and may be modified at the Company’s sole discretion, consistent with the law. 

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