Data Science Manager; Athens

Are you ready to be a part of the digital reinvention of industry and revolutionize your career?

In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value.

That’s where Accenture Strategy & Consulting – Data & AI comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co‑create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech‑enabled transformation and new kinds of value for your clients.

Strategy and Consulting is one of four services – the others are Song, Technology and Operations.

As part of the Artificial Intelligence practice, you will combine AI & ML with data analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. Your day will never be typical and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever‑changing technology landscape.

You will be part of a global team of data scientists, data engineers, and experts in AI & ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries.

• Understand and shape client requirements; translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/visualization)
• Accountable for the design, development and delivery of Data Science & ML solutions, working with data science, engineering and operations teams
• Lead a team of 5‑8 people, working in a multicultural environment with fixed deadlines and changing priorities
• Contribute to internal R&D and business development activities through AI & ML expertise
• Provide thought leadership, best practices, and standards on advanced analytics & ML techniques
• Drive understanding and decision making from data through the intersection of business, analytics, and design
• Act as Project Lead in client Scrums and lead the delivery of Data Science projects in Marketing, Customer & Sales Analytics
• Present and create appropriate documentation to communicate with and educate stakeholders
• Influence & inspire the team with the technical expertise on Data Science & Cloud solutions and the soft skills required for stakeholder management, setting the correct expectations
• Create project plans, including resourcing & expenses. Ability to turn quickly the brilliant ideas into a plan with clear actions and expectations

• BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well‑established University
• Minimum of 7+ years of proven working experience in Data Science & ML areas, leading a team of 5‑8 people
• Solid theoretical and hands‑on knowledge of Econometrics, Statistics, Data Mining, Machine Learning & AI concepts
• Exceptional programming skills in Data Science scripting:
  Python / R / Scala / Julia; knowledge of Java and/or C/C++ would be considered a plus
• Experience with Cloud Technologies (MS Azure, GCP, AWS)
• Understanding of ML lifecycle and hands‑on experience with ML Ops
• Working under an Agile Framework with CICD principles
• Exceptional analytical and critical thinking skills with demonstrated ability to think strategically; turn data into effective strategies and drive results
• Ability to communicate results effectively and explain technical methodologies in non‑technical audience
• Ability to work as a team player in multinational project teams
• Fluency in English (verbal and written)
• All male candidates should have fulfilled their military obligations
• Considered a plus (not a prerequisite):
• Familiarity with Deep Learning concepts & tools (H2O, Tensor Flow, PyTorch, Keras, Theano, etc.)
• Experience in SQL and interpretation of large databases (via tools such as…