data science manager

As part of Data & AI 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. There will never be a typical day 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.

Responsibilities:

• 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, Application Development/ Visualization and Operations teams
• Ensure projects are implemented with scalability and efficiency in mind, utilizing best practices in data science and machine learning (appropriate methodologies, tools and technologies)
• Create project plans, including resourcing & expenses. Ability to turn quickly the brilliant ideas into plan with clear actions and expectations
• Lead a team of 4-8 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, Industrial or Geospatial Data 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

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Qualifications

WHO WE’RE LOOKING FOR?

• 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, TensorFlow, PyTorch, Keras, Theano, etc.)
• Experience in SQL and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)
• Visualization tools (Power BI, Tableau)
• Experience in international markets and familiarity with FMCG, Retail or Energy/ Recourses/ Utilities etc. industries

WHAT’S IN IT FOR YOU?

• Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts
• Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people
• Career coaching and mentorship to help you manage your career and develop professionally
• Ongoing strength and skill-based evaluation process
• Various opportunities to develop your career across a spectrum of clients, industries and projects
• Diverse and inclusive culture
• Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work
• Under our Brain Regain initiative, extra relocation benefits may apply

Our new innovative mobile App, Enter Accenture Greece for Android or iOS devices is here! Once you apply for the role and your application is successful, you will receive a notification to download the app and will be able to log in by using your personalized credentials to begin the recruiting process and track your application.

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.

The safety and well-being of our candidates and employees remain our priority. Please note that the recruitment process for opportunities in Accenture Greece will be conducted only via online format during the current period.