EY Junior Data Analytics & Machine Learning Consultant 

Greece, Attica, Athens 

627397062

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

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Build your skills in Advanced Analytics, Machine Learning and Artificial Intelligence through multifaceted training to develop applications with diverse real-world datasets.

Your key responsibilities

You will identify appropriate modeling techniques to answer the most critical business questions and use your analysis to infer business insights in support of your clients’ decision making.

You will also resort to various data management and visualization techniques to provide insight into the data. Your portfolio of skills will cover a range of advanced statistical and machine learning techniques for classification, prediction, recommendation, clustering, forecasting, as well as data management, data visualization, and optimization, applied in a commercial context. You will contribute to presentations of modeling results and project proposals.

Skills and attributes for success

• Strong communication, presentation, client service and technical writing skills in English for both technical and business audiences.
• Strong analytical, problem solving and critical thinking skills.
• Ability to work under tight timelines for multiple project deliveries.
• Ability/flexibility to travel and work abroad for international projects.

To qualify for the role, you must have

• Excellent academic background, including a BSc or a MSc degree in Data Science, Business Analytics, Statistics, Mathematics, Econometrics, Engineering, Operational Research, Computer Science, or another related field with strong quantitative focus.
• Mathematical understanding of machine learning, predictive modeling and optimization algorithms
• 1- 2 years of professional or research experience in some of the following:
  • ML/NLP tools like TensorFlow, PyTorch, scikit-learn, pandas, caret etc.
  • Coding and software engineering in mainstream programming languages, such as Python or Go.
  • Statistical packages for data manipulation and in development of predictive and prescriptive models (e.g. R, SAS, SPSS).
  • Data analysis and manipulation of large datasets using e.g. SQL, spark.

What we look for

• You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
• You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
• You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.
• Qualifications:What’s most important is that you’re dedicated to working with your colleagues as part of a high-performing team. You’ll need to demonstrate enthusiasm, high motivation and passion to develop fast in a multinational working environment. You’ll need to thrive in picking up new skills and talents as you go, so natural curiosity, a lot of questions and the confidence to speak up when you see something that could be improved are essential. If you’ve got the right combination of technical knowledge and communication skills, this role is for you.

What’s in it for you

• Competitive remuneration package:You’ll be rewarded for your individual and team performance. Depending on your experience, our comprehensive rewards package includes benefits that suit your needs including cutting-edge technological equipment, ticket restaurant vouchers, a private health insurance scheme, life insurance, income protection and an exclusive EY benefits club that provides a wide range of discounts, offers and promotions.
• Flexible working arrangements:We operate under a hybrid working model, which is defined based on both your own preferences and team’s needs, and we enjoy our summers with short Fridays.
• Personalized learning experience and career development: Accelerate your technical capabilities and transformative leadership skills with future-focused courses and development programs. We provide free and unlimited access to educational platforms and EY Badges, support certifications, and provide coaching and feedback, as a part of our Leadership & Development process, all of which can lead to a meaningful impact and success as defined by you.
• Diverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
• International Experience:Broaden your horizons by working on highly integrated teams across the globe and collaborate with people of diverse backgrounds — both professionally and culturally.
• Above all, you will be working in one of the Top Employers in Greece for 2023 , awarded by the Top Employers Institute.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.