Data Science - Manager - Retail

Publicis Groupe

København

Hybrid

DKK 900,000 - 1,300,000

Full time

5 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health benefits

Career growth & training

Generous paid leave & holidays

Wellness program and employee support

Job summary

Publicis Sapient is seeking a Manager for Data Science consulting to bridge business strategy with AI technologies. You will partner with clients to shape data and AI agendas, translate challenges into actionable opportunities, and guide initiatives from ideation to value realization.

You will stay hands-on enough to prototype solutions, engage stakeholders, and lead cross-disciplinary teams across engineering, product, and design to deliver scalable, AI-driven outcomes.

Qualifications

Proven ability to engage clients, structure problems, and translate business needs into data/AI solutions.
Experience developing and deploying AI models at scale (NLP, computer vision, RL).
Expertise with TensorFlow, PyTorch, scikit-learn and cloud AI platforms.

Responsibilities

Shape Data & AI Strategy: define vision, use cases, and roadmaps.
Engage and Advise Stakeholders: lead requirements and decisions on AI initiatives.
Translate Business Problems into Solutions: frame challenges into analytical approaches.
Explore and Prototype: evaluate emerging AI technologies and build lightweight prototypes.
Bridge Business and Technology: collaborate across engineering, product, design.
Drive AI Adoption and Innovation: promote practical, value-driven AI adoption.
Communicate Impact: present insights and trade-offs to diverse audiences.
Contribute to Growth and Capability Building: support proposals and mentor teams.

Skills

Data science experience

Client engagement

AI models at scale

ML frameworks

Cloud platforms

Data engineering concepts

Communication skills

Ambiguity tolerance

Consulting experience

Education

Advanced degree in data science / engineering / business

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Spark

Hadoop

SQL

NoSQL

LLMs / copilots

Automation platforms

Job description

Company description

About Publicis Sapient

Most companies in the AI era do one of two things: they advise, or they sell you a tool. We do both. Publicis Sapient is a technology company that provides enterprise AI platforms and services, which means we build our own AI platforms and bring the strategists, product thinkers, designers and engineers who make them work inside the world’s most complex businesses. It is where people and products shape the future of enterprise, and where your ideas actually reach the organizations that run the world.

If you want to question how things are done, learn continuously and do the best work of your career alongside 20,000 people across 28 countries, you’re in the right place. Come build with us.

Our Commitment to Inclusive Hiring

We are committed to fostering and encouraging an inclusive and welcoming environment for everyone and we believe great talent comes from many different backgrounds, experiences, and perspectives. That is why we are committed to creating a hiring process where everyone has an equal opportunity to succeed and feel safe. We welcome applications from all backgrounds and identities including: race, ethnicity, nationality, gender, disability, sexual orientation, gender identity, or religion and value the diverse experiences, perspectives, and strengths they bring to our teams.

If there is anything we can do to make our recruitment process more accessible or comfortable for you, please let us know. We are happy to provide reasonable adjustments throughout the application and interview process. You can contact us anytime at emeahiringteam@publicissapient.com.

Your Safety Matters To Us

At Publicis Sapient, we are committed to protecting candidates throughout every step of their journey with us. To help you stay safe from recruitment scams, please remember that our recruiters will only ever contact you from a Publicis Sapient email address. In some cases, we may partner with trusted, vetted recruitment agencies who will clearly identify themselves as working on behalf of Publicis Sapient. If you receive communication from any other domain claiming to represent us, please treat it with caution and contact us at emeahiringteam@publicissapient.com.

Overview

Why This Role Matters

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.

Where You’ll Make an Impact

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

What You’ll Bring to the Team

Strong experience in data, AI, or analytics roles, with exposure to both technical 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 in ambiguous environments, exploring new problem spaces, and expanding into adjacent domains
Demonstrated curiosity and eagerness to learn 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

Additional Experience We Value

Experience defining AI or data strategies for organizations
Hands‑on experience with modern AI tools (e.g., generative AI, copilots, automation platforms)
Exposure to data architecture, data engineering, or product development
Track record of driving AI adoption or innovation initiatives within organizations
Advanced degree in a relevant field (e.g., data science, engineering, business, or similar)
Equally comfortable in the boardroom and with a dataset
A translator between business ambition and technical reality
Curious, adaptable, and excited about the fast‑moving AI landscape
Motivated to go beyond pure data science into broader problem‑solving and innovation