Data Science - Manager - Retail

Publicis Groupe Holdings B.V; København; On-site; DKK 900,000 - 1,200,000; Full time

Job summary

Publicis Sapient in Denmark is seeking a Manager for Data Science consulting to shape data and AI agendas, translating business challenges into actionable opportunities. You will guide initiatives from idea through to value realization, balancing hands-on prototyping with strategic advisory.

You bring a strong technical foundation but focus on understanding client needs, framing problems, and delivering impactful AI solutions.

Qualifications

• Strong experience in data, AI, or analytics roles, with exposure to bothtechnical implementation and business-facing work
• Proven ability to engage clients, structure problems, and translate business needs into data/AI solutions
• Proven experience in developing and deploying AI models at scale, including NLP, computer vision, and reinforcement learning.
• Expertise in ML frameworks such as TensorFlow, PyTorch, and scikit-learn, and cloud-based AI platforms (AWS, GCP, Azure).
• Strong understanding of data engineering concepts, including data pipelines and big data technologies (Spark, Hadoop, SQL, NoSQL).
• Experience with modern AI ecosystems (cloud platforms, LLMs, AI tools, data platforms).
• Strong communication and storytelling skills to influence stakeholders
• Comfortable in ambiguous environments, exploring new problem spaces
• Demonstrated curiosity to learn and apply new technologies in AI
• Experience in consulting, digital transformation, or cross-functional settings is a plus

Responsibilities

• Shape Data & AI Strategy and translate business goals into roadmaps.
• Engage with business and technical stakeholders to define requirements and guide decisions on AI initiatives.
• Translate complex business problems into structured AI approaches and select methodologies.
• Explore and prototype using emerging AI technologies to validate ideas.
• Bridge business and technology across engineering, product, and design teams.
• Drive AI adoption by applying practical, value-driven strategies across domains.
• Communicate insights and trade-offs to technical and non-technical audiences.
• Contribute to growth and capability building through mentoring and proposals.

Skills

Data Science

AI Strategy

Client Engagement

Problem Framing

Stakeholder Management

Communication

Curiosity

Learning

Education

Advanced degree in data science

Tools

TensorFlow

PyTorch

scikit-learn

Cloud platforms

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 the 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

As a Manager for Data Science consulting, you operate at the intersection of business strategy, data, and emerging AI technologies. You work closely with clients to shape their data and AI agendas—translating business challenges into actionable opportunities, advising on the right approaches, and guiding initiatives from idea through to value realization.

You bring a strong technical foundation, but your primary focus is on understanding client needs, framing problems, and designing impactful solutions. You are a trusted advisor who can connect strategy, data, technology, and organizational change—while staying hands‑on enough to explore data, prototype solutions, and leverage modern AI tools.

Responsibilities

• Shape Data & AI Strategy

  Partner with clients to define their data and AI vision, identify high‑value use cases, and translate business goals into actionable roadmaps.

• Engage and Advise Stakeholders

  Lead conversations with business and technical stakeholders to uncover requirements, challenge assumptions, and guide decision‑making on AI and data science initiatives.

• Translate Business Problems into Solutions

  Frame complex business challenges into structured analytical or AI‑driven approaches, selecting the right methodologies, tools, and architectures.

• Explore and Prototype

  Drive innovation by evaluating and applying emerging AI technologies and methodologies, ensuring Publicis Sapient remains at the forefront of data science advancements. Stay close to the technology—exploring datasets, building lightweight prototypes, and leveraging modern AI tools (e.g., LLMs, copilots, automation frameworks) to validate ideas and accelerate delivery.

• Bridge Business and Technology

  Work across disciplines (engineering, product, design) to ensure solutions are feasible, scalable, and aligned with business needs.

• Drive AI Adoption and Innovation

  Evaluate emerging technologies and help clients adopt AI in a practical, value‑driven way—extending beyond traditional data science into areas such as generative AI, automation, and decision intelligence.

• Communicate Impact

  Clearly articulate insights, recommendations, and trade‑offs to both technical and non‑technical audiences, including senior leadership.

• Contribute to Growth and Capability Building

  Support business development, shape proposals, and mentor team members—fostering a culture of curiosity, learning, and innovation

Qualifications

• Strong experience in data, AI, or analytics roles, with exposure to bothtechnical implementation and business-facing work

• Proven ability to engage clients, structure problems, and translate business needs into data/AI solutions

• Proven experience in developing and deploying AI models at scale, including natural language processing (NLP), computer vision, and reinforcement learning.

• Expertise in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud-based AI platforms (e.g., AWS, GCP, Azure).

• Strong understanding of data engineering concepts, including data pipelines and big data technologies such as Spark, Hadoop, SQL, and NoSQL.

• Experience working with modern AI ecosystems (e.g., cloud platforms, LLMs, AI tools, or data platforms)

• Strong communication and storytelling skills, with the ability to influence stakeholders at multiple levels

• Comfortable working inambiguous environments, exploring new problem spaces, and expanding into adjacent domains

• Demonstrated curiosity and eagerness tolearn and apply new technologies, especially within the rapidly evolving AI landscape

• Experience in consulting, digital transformation, or cross‑functional environments is a strong plus

Additional information

Set Yourself Apart With

• Experience definingAI or data strategiesfor organizations

• Hands‑on experience withmodern AI tools (e.g., generative AI, copilots, automation platforms)

• Exposure todata architecture, data engineering, or product development

• Track record of drivingAI adoption or innovation initiativeswithin organizations

• Advanced degree in a relevant field (e.g., data science, engineering, business, or similar)

What We’re Looking For

We’re looking for someone who is:

• Equally comfortable in the boardroom and with a dataset

• Atranslator between business ambition and technical reality

• Curious, adaptable, and excited about the fast-moving AI landscape

• Motivated to go beyond pure data science intobroader problem-solving and innovation