AI & Data Science Senior Consultant (all genders)
Quick Summary
At Accenture’s AI & Data team,
At Accenture’s AI & Data team, we bring together unique personalities and forward-looking expertise to help our clients drive data-driven transformation and shape the future through artificial intelligence (AI).
We support our clients end to end: from strategic, AI-native transformation and the design and development of AI solutions to the technical architecture and implementation of AI and data platforms.
Do you have a data-driven, analytical mindset, a passion for modern AI solutions and a desire to tackle exciting challenges across industries? Then our Data Science Practice is the place for you. Positioned at the intersection of Strategy and Technology, we combine industry experience with technical expertise. You will identify relevant use cases, take solutions from prototype to production and see how your work transforms businesses, industries and people’s lives.
- Innovative AI solutions: Apply your analytical thinking and creativity to develop the next generation of data science solutions and advance the use of Generative AI and Agentic AI.
- Value from data: Work in interdisciplinary teams to identify opportunities for improvement and develop targeted analyses, analytics strategies, operating models and value architectures that turn data into tangible business value.
- Real impact: Work with leading global companies and institutions to take data-driven use cases from initial idea to implementation at scale. Own a use case or project workstream and contribute your expertise to proposals for new use cases.
- Client-focused delivery: Collaborate closely with decision-makers to implement and scale AI solutions in real-world environments. You will also provide technical guidance to analysts on your team.
- A completed master’s degree or PhD in a field such as physics, mathematics, statistics, computer science, data science, engineering or economics.
- Several years of practical data science experience in Machine Learning, Deep Learning or Reinforcement Learning, strong Python skills using common frameworks such as Pandas, Scikit-learn, TensorFlow or PyTorch, and experience with data aggregation using tools such as SQL or Spark. Experience deploying models into production is also required.
- Project experience with Generative AI, such as Retrieval-Augmented Generation (RAG), and Agentic AI, including frameworks such as LangChain or LangGraph.
- Cloud experience with platforms such as Azure, AWS or Google Cloud Platform. Knowledge of databases—including SQL, NoSQL, vector or graph databases—and BI and visualisation tools such as Tableau, Power BI or Qlik is an advantage.
- Strong analytical, communication and client-facing skills, a willingness to travel as projects require, the ability to work independently, and excellent written and spoken German and English.
Your unique combination of skills, personality, and aspirations sets you apart. When distinct talents, strengths, and perspectives merge, the result is nothing short of extraordinary: ideas that propel the world forward. This is why we champion diversity and personal development at Accenture. Create a working environment where you truly thrive; with responsibilities that resonate deeply; with a workload that is perfectly aligned with your capabilities; and methods that are tailored to your objectives. How you wish to connect, further your development, and personally evolve rests in your hands. This is your career. We are mere facilitators, helping you shape it exactly as you envision.
Visit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
About this job
- Posted
- Today
Listing Details
- Posted
- November 12, 2026
- First seen
- November 12, 2026
- Last seen
- November 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- November 12, 2026
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