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Data & AI Strategy Consultant (m/f/d)

Machine Learning Reply
CompanyMachine Learning Reply
CategoryData & Analytics
LocationVienna
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
First seen20 Jul 2026 (the employer did not state a posting date)
Last verified10 Aug 2026
SourceEmployer ATS (recruitee)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
At Machine Learning Reply Austria  we strive to work on leading-edge data science projects with our clients for which we are seeking Data Frameworks consultants with a strong economics and IT background to support on the bridge between strategy consulting and data science. Machine Learning Reply, with its sister companies in Italy and Germany and over 15000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science and the right organizational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners. Whether you are already experienced in strategic project management and execution with a focus on enabling data driven business models or just graduated having gained first experience in big data technologies or strategic thinking, then we want to hear from you. You are both a techie at heart and a Strategy Consultant – or want to become one? You never lose focus, are numbers driven, but with a passion for data-story-telling? We bring together what belongs together. Working with Data Scientists and Data Engineers we enable our clients with cutting-edge open source technology to become a truly Data Driven company. Engaging the upper management level of the customer we analyse the core business of our customers, generate real tangible value and deliver what others can only think of. As a Data & AI Strategist, your aim is to advise the customer on how data usage is shaping strategic decisions or how Advanced Analytics can support business by opening new fields of operations. You will work together with technical specialists in the area of big data and data science, so we expect a keen interest, but not necessarily hands-on experience, in these areas. Depending on project scope and your interest, you may be working In a project to analyse the customers business need to devise the pathway for data strategy projects In an implementation project as part of a project team, together with Data Scientists and Data Engineers Supporting C-Level decision making by providing business cases, qualitative assessments and workshops You will work across several industries like banking, insurance, automotive, retail, etc. securing a maximum of cross-industrial learning. Responsibilities: Develop Data & AI Strategies with the customer based on current challenges Transform the business on an organizational level to be ready to become Data Driven Analyse and adapt current business processes to make them fit for purpose Formulate business needs as a Business Analyst and translate needs into technological requirements together with Data Scientists and Data Engineers Develop customer specific Use-Cases and guide him through the entire life-cycle from creative workshops to implementation Communicate and present results effectively and confidently to the clients in meetings and workshops with keen attention to detail and overall goals Participate in tenders and Requests-for-proposals (RfPs) along with project pitches Active involvement in business development of Machine Learning Reply Austria What we offer you: We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant) depending on your previous experience. Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc. ) Very active group social program - including conference funding, team building, group events, Reply Exchange Recognition for Innovation to foster your personal development Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries) Office space in