Data Science Manager
Accenture
Athens, Greece
πριν από 6 μέρες

Job Description

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 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 that make up one Accenture the others are Interactive, Technology and Operations.

WORK YOU’LL DO

As part of AI practice, you will manage, architect and analyze big data in order to build data driven business insights and high impact data models to generate significant business value.

Digital covers a range of industries creates models and processes to collect, distill and interpret data with a view to aid better, more informed decision making.

Examines and explores data from multiple disparate sources with the goal of discovering insights which in turn can provide competitive advantage for our clients.

Responsibilities :

Consulting with clients and deciding what data are needed to answer specific questions or problems related to business.

Carrying out data analysis by identifying sources, gap analysis, requirements for migration and integration to common reporting system

Collaborates with team members towards achieving clients’ objectives.

Drive understanding and decision making from data through the intersection of business, analytics, and design.

Responsible for implementing statistical methodologies and data analysis techniques as set forth in project requirements.

Validate data analysis results with team members to ensure high quality deliverables.

Identify, interpret and communicate meaningful findings to key individuals (i.e. answer the so what questions).

Participate in internal research and development activities as needed.

Understand and shape business requirements, design, develop, and implement data science solutions.

Provide thought leadership, best practices, and standards on advanced analytics & econometric techniques.

Ability to analyze user feedback and activity, iterating to enhance the user experience.

Translate business requirements into specifications that will be used to drive Data Science components (data model, advanced analytics, consumption) design and configuration.

Ability to lead teams of 5 - 8 people, work in a multicultural environment, under aggressive timelines.

Act as Development Lead in client Scrums and lead the delivery of Data Science projects covering both 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 client management and setting of the correct expectations.

Ability to create project plans, including resourcing, expenses. Ability to turn quickly the brilliant ideas to plan on a page with clear actions and next steps.

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