senior data scientist

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.

Responsibilities:

• Understand client requirements and business problems with uncertainty, translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/ visualization)
• Support the development and delivery of Data Science & ML solutions, working closely with data science, engineering and operations teams (from data acquisition/manipulation and exploratory analysis, to DS/ML models and interpretation of results)
• Lead a team of 2-4 people, working in a multicultural environment with fixed deadlines and changing priorities
• Provide guidelines on best practices to development teams and ensure high-quality of deliverables
• Communicate solutions & results to senior management and client stakeholders
• Contribute to internal R&D and business development activities through AI & ML expertise
• 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.

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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
• At least 4 years of proven working experience in Data Science & ML areas to solve business problems
• Knowledge of Data Science and Machine Learning concepts and algorithms such as Clustering, Regression, Classification, Forecasting, Hyperparameters optimization, NLP, Computer Vision, Speech processing, IoT data modeling, Geospatial data analysis
• Considered a plus (not a prerequisite):
• Proficiency in programming languages & Data Science scripting: R / Scala / Julia
• Familiarity with Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)
• Experience in analytical manipulation 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)
• Proficiency in Python programming language & Data Science scripting
• Exceptional analytical and critical thinking skills
• Proven experiencein at least one cloud based analytics platform (eg. Databricks, BigQuery, Snowflake, Synapse, Amazon Redshift)
• 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
• Ability to work as a team player in a multinational project team
• Ability to collaborate with individuals from varying backgrounds and skill-sets (ie Product Managers, Project Managers, Operations, Engineers, etc)
• Ability to travel and gain exposure in multinational companies across a range of industries
• Fluency in Greek and English (verbal and written)

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