Data Science & Machine Learning Engineering (Senior) M…

Data Science & Machine Learning Engineering Manager

Are you a Data Science leader who combines deep technical expertise with strategic vision? Do you thrive on guiding teams to deliver impactful, data-driven solutions that tackle complex business challenges? Can you oversee end-to-end data science and ML projects that deliver measurable impact for our clients? If you want to help organizations position data science as a core business driver and mentor the next generation of data experts, we’d love to meet you.

What You'll Do

• Lead data science projects from concept to implementation, ensuring high‑quality outcomes and alignment with client needs.
• Manage project teams of experts, including data scientists, machine learning engineers and other AI professionals on (Gen)AI best practices, analytics, and innovation assignments.
• Serve as a mentor for junior and senior team members, providing career guidance and fostering professional growth.
• Partner with key stakeholders to demonstrate the value of Data Science, ensuring solutions are aligned with their business objectives.
• Help build and grow the team, actively developing data & AI skills that shape the team’s strategic direction.
• Build and maintain client relationships, acting as a trusted advisor to drive adoption and success with AI initiatives.
• Drive business development from a Data & AI perspective and connect with industry and function experts within Accenture.
• Collaborate with practice leadership on setting the vision and direction of the Data Science team.
• Utilize your expertise in Data Science, Machine Learning and (Gen)AI to create meaningful business impact.

What You'll Need

• 6+ years of professional experience in consulting capacity, or project management type roles in Data Science & ML areas.
• Master’s degree (WO) in a quantitative field (Data Science, Mathematics, Computer Science, Econometrics, Business Analytics or any other relevant studies) with specific emphasis on data.
• Fluent in English (both spoken and written).
• Experience with relevant programming languages (SQL, Python, R, etc.), Machine Learning techniques (Neural Networks, Random Forest, etc.), Cloud computing (AWS, Azure or GCP) and ML & Agentic AI frameworks (Langchain, LangGraph, PyTorch, Tensorflow, etc.).
• Thorough and in‑depth understanding of the technical fundamentals behind (Generative) AI technologies.
• Professional experience leading and managing multi‑disciplinary teams, setting up a practice and building skills.
• Clear vision for Data & AI, and ability to share this vision with colleagues and clients.

Benefits

• Work with flexibility, in a culture based on trust.
• Embrace a sustainable growth mindset.
• Live a human‑led culture of Inclusion & Diversity by caring deeply for all our people.
• Lead and transform our clients with technology.
• Connect with our global network of 700,000 colleagues.
• Unlimited learning: access to thousands of free courses, classes, and workshops.
• Flexible working hours (4×9) & work location.
• Paid transport (budget for electric bicycle or car, NS‑Business card).
• Parental leave, paternity leave for all non‑birthing parents.
• Pension scheme, discount on Accenture shares, annual bonus, collective health insurance scheme.

Seniority level

Mid‑Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Business Consulting and Services

Accenture is an equal‑opportunity employer

Accenture is an equal opportunity employer. Our leaders are committed to building a better, stronger and more equitable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities.

Accenture is committed to providing equal employment opportunities for all.