*Please be aware that this position is open from september 2023 onwards

Do you know how to add concrete value with your specialist knowledge, and have enthusiasm to inspire and surprise your colleagues and customers?

EY Data & Analytics Team

As a Senior Data Scientist of the Data Engineering, Data Science & AI (EY Data & Analytics) team, you help companies transform into smart organizations by unlocking the hidden value of data. All possible facets of data & analytics are involved: think of dashboarding, process mining, data science, machine learning, data strategy, data governance, master data management and data quality, but also themes such as Artificial Intelligence and the Internet or Things.

As a consultant within EY Data & Analytics you work in an international team with various nationalities. You will be broadly trained to help customers (national and international) by using data to solve their most difficult and urgent problems, respond to new opportunities and help to... deliver innovative product and services opportunities. The Data & Analytics team is part of EY Tech and is currently one of the most important pillars within EY. Globally, one in three employees works in Tech, and EY has more than 50,000 Data Scientists

Your opportunity

As a Senior Data Scientist your focus is on understanding the data and information challenges of our customers. You use the latest machine learning techniques and big data stack platforms. Together with our customers you develop end-to-end solutions with the view of changing the business and creating impact.

What you can expect from us

• Working on a project basis, both independently and in a team, for and with clients throughout the Netherlands and beyond.

• Working for interesting national and international clients in various domains such as customer (e.g. customer lifetime value, churn), supply chain (e.g. stock optimization), smart manufacturing (e.g. predictive maintenance), commercial (e.g. pricing, assortment analysis).

• Guiding colleagues and customers in the field of Advanced Analytics.

• Creation of innovative product and service propositions, and supporting customers to realize value from them
• Operate in a highly data-driven culture where insights are translated to action.

What you bring

• A completed (technical) Master's degree.

• At least 3 years of experience with Advanced Analytics, such as statistical analysis, simulation and predictive modeling in combination with consultancy.

• Experience with PowerBI, Python, R and SQL. Knowledge of Azure is a plus.

• Up to date with the latest trends and developments

• Commercial skills, such as presenting, writing articles and blogs.

• Enthusiasm to train (junior) colleagues and to transfer your knowledge to your teammates and customers.

Our Core Values

• People who demonstrate integrity, respect, teaming and inclusiveness.

• People with energy, enthusiasm and the courage to lead.

• People who build relationships based on doing the right thing.

What we offer

We offer an attractive benefits package in which you are rewarded for individual and team performance. In addition, we offer you flexible working hours and ample opportunities for career development. At EY, you determine your own career based on your competencies and areas of interest.

What else you can expect at EY:

• Work on interesting assignments with a strong innovative character for a varied and challenging group of clients.

• At EY, each individual has a unique contribution with his/her vision and opinion. So you too Our culture is open in which attention to diversity is anchored in policy.

• EY offers you an (international) working environment in which you can work independently of time and place. For example, working abroad, certainly within Western Europe, is actively encouraged.

• The unique EY spirit while working together in teams, fun drinks and an annual ski trip.

Data Academy Week

In addition to an extensive range of formal training opportunities (you can even get your MBA), the EY Data & Analytics team also offers a tailor-made training program: "Data Academy Week". This training program runs for a week at a time, 3 times a year. The format of the Academy Week training is that you will be divided into small teams (in accordance with Scrum methodology), and receive a business case from a customer in a specific analytics sector (Supply chain analytics, commercial analytics, consumer analytics, etc.) on the Monday morning. During the introduction to this business case, the client will describe their biggest data challenges to your team. You and your team work on this problem using the required technologies and skills to deliver a solution to the data challenge by the end of the week. Working hard, getting to know your colleagues, discovering new and exciting tools and technologies, but above all, having fun together is central to the objectives of this learning exercise.

Who is EY

EY is a global player active in the field of accountancy, tax, transactions and consultancy services. With the help of our expertise, systems and financial services, we contribute to a better working environment. That starts with a culture in which you receive training, opportunities and creative freedom to continuously improve yourself and EY.

Due to globalization and technological developments, the environment of organizations is changing rapidly. EY (Tech) Consultancy guides organizations in this. Specialized teams work on projects in different disciplines; from strategy development to strategy execution. Our consultants advise in areas such as IT, Supply Chain, Operational Effectiveness, Finance, Actuarial Services, Technology, Risk and Transactions.

Application procedure

There are a in total 2 interview rounds. The 1st interview round is an introduction round.

The 2nd interview round consists of a Business case and presentation.

In addition, we have an (online) assessment and a pre-employment screening.

Due to laws and regulations and because EY (and in some cases its customers) sets high standards for the reliability and integrity of its employees, every new employee is screened. Depending on the job level, the pre-employment screening can consist of the

following components: Certificate of Good Conduct (VOG) or - if no VOG can be applied for in the Netherlands - Criminal Background Check from the country where you currently live or have had the last five years. residence, integrity questionnaire, verification of ID, diplomas and/or work experience and consulting the central insolvency register
Amsterdam Netherlands

Salary Criteria