Technology and Engineering | Full-time Data Science - Manager - Retail Copenhagen, Denmark

Publicis Sapient; København; On-site; DKK 900,000 - 1,200,000; Full time

Job summary

Publicis Sapient is seeking a Manager for Data Science consulting who sits at the intersection of business strategy, data, and AI technology. You will work with clients to shape data and AI agendas, translate challenges into actionable opportunities, advise on approaches, and guide initiatives from idea through to value realization.

You bring strong technical foundations but focus on understanding client needs, framing problems, and designing impactful solutions.

Qualifications

• Experience in data, AI, or analytics roles with both technical and business-facing work.

Responsibilities

• Shape clients' data and AI agendas and translate business challenges into opportunities.
• Advise on approaches and guide initiatives from idea to value realization.
• Prototype solutions and stay hands-on with data and experiments.
• Connect strategy, data, technology, and organizational change.
• Help clients adopt AI responsibly and scale across the business.

Skills

Data/AI strategy

Client engagement

Problem framing

AI deployment at scale

NLP / CV / RL

ML frameworks

Cloud platforms

Data pipelines / big data

SQL / NoSQL

Storytelling & communication

Education

Advanced degree in data science / engineering / business

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Spark

Hadoop

SQL

NoSQL

LLMs

Job description

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.

Qualifications

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

Proven ability toengage 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

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.