Description & Requirements
Join the best company providing AI & Data Science services (No. 1 according to Gartner Magic Quadrant for Data and Analytics Service Providers 2021). Design and build machine learning models for the largest companies and institutions in Europe. Grow your career with technology vendors such as AWS, Google, IBM, Microsoft and SAS.
Requirements:
- Master’s degree in a quantitative discipline (e.g., computer science, information management or any related field)
- 5+ years of professional experience in Data & AI solutions delivery / implementation
- Knowledge of data integration and governance concepts, preferably from data lake / data warehousing projects, DataOps, MLOps, CI/CD pipeline
- Strong analytical, problem-solving, communication & presentation skills as well as writing skills (documentation, architecture diagrams etc.)
- Understanding of programming languages like SQL, Python
- Understanding of Machine Learning and Data Science concepts
- Practical experience in one or more cloud environments (GCP, AWS, Azure, IBM)
- Strong business acumen, ability to come up with creative solutions to address customer problem
- Team-player mindset
- Good level of English
- Identify business needs and requirements and translate them into architectures
- Develop end-to-end data architectures for analytical and AI solutions on various cloud (GCP, AWS, Azure, IBM) and hybrid environments
- Present and advocate designed solutions in front of business stakeholders
- Participate in the pre-sales activities
- Deploy data architectures during project delivery phase
- Actively liase with cloud vendors on latest big data technology stacks and reference architectures
· Work with clients throughout the whole project cycle (Business understanding, Data understanding, Modeling, Evaluation and Deployment)
- Cooperate with subject matter experts from risk advisory and technical consultants to jointly deliver high quality projects for the customers
- A clear career path and Career Coach, who will guide you through the organization and your opportunities
- Wide range of trainings and knowledge development opportunities, including financing of your certificates and workshops in a chosen career specialization
- A unique opportunity to develop the AI career with a great team of experienced peers and cooperation with Deloitte AI Institute
- Challenging tasks with the freedom of action in your field
- Friendly team atmosphere, flexible working set-up and excellent working conditions
Data & AI Team focuses on the practical applications of data analytics and artificial intelligence. Broadly understood risk management is a key area of companies' activity, covering both well-known applications such as credit scoring, fraud analytics or market risk analytics, but also new areas such as deepfakes detection, cyber intrusion, climate risk analytics, dynamic risk scoring. We also deal with the most important areas determining the success of implementations, such as AI explainability or AI fairness, and we take part in discussions on the regulation of the AI market in the European Union.