junior 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. 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:

• Collect, cleanse and aggregate data in order to use them for Data Analysis and Insights

• Responsible for implementing Data Analysis, Statistical and Machine Learning methodologies

• Generate tables, figures and dashboards for presentation and interpretation of results in accordance with project requirements

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

• Assist in development of documents, demos or presentations as needed

• 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

Qualification

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

• Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing; understanding of ML model lifecycle would be an asset

• Familiarity with any programming language and Data Science scripting (in Python / R / Scala / Julia)

• Considered a plus (not a prerequisite):

• Experience with Cloud Technologies (MS Azure, GCP, AWS)

• Familiarity with Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)

• Understanding of ML lifecycle and hands-on experience with ML Ops

• 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)

• Working under an Agile Framework with CICD principles

• Ability to work as a team player in a multinational project team

• 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 hard and soft skills training & development through global platforms & local academy

• Career coaching and mentorship to help you manage your career and develop professionally

• Ongoing strengths and skills based evaluation process

• Various opportunities to develop your career across a spectrum of clients, industries and projects

• Diverse and inclusive culture

• Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)

• Under our Brain Regain initiative, extra relocation benefits may apply