Data Science Associate

Adaptfy is growing! We are looking for a Data Science Associate with 3 - 6 years of experience for a full-time position to join our Data and Analytics team in Amsterdam.

Adaptfy is a turnkey data & analytics solution for the SHV family of companies. We support multiple SHV Groups with advanced Data & Analytics in all areas, elevating their operations in diverse industries across international markets and throughout entire value chains.

Adaptfy is a joint venture formed by SHV and Metyis. Metyis embodies visionary thinking in the digital world, while SHV is a globally established family of companies built on the values of integrity, trust, curiosity, passion, and inclusivity.

SHV has a presence across four continents, with businesses spanning energy, heavy lifting and transport, animal nutrition & aquaculture, testing, inspection & certification, and more. The organisation’s history reflects its courage to care—for people, for performance, and for future generations. Their success is a testament to constant reinvention through innovation.

At Adaptfy, we play a pivotal role in bringing SHV’s digital vision to life. From optimising supply chains across Europe to enhancing operational efficiency in South America, we connect the dots for SHV, shaping a data-driven future for the entire family of companies

What we offer

• Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
• Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
• Become part of a fast-growing international and diverse team.

What you will do

• Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.
• Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
• Communicate analyses via compelling presentations.
• Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis
• Prepare and facilitating workshops
• Manage stakeholders and communicating with executives
• Coach and mentor team members

What you will bring

• 3-5 years of professional work experience in the analytics domain.
• An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).
• An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.
• Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
• Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).
• Ability to talk the language of statistics, finance, and economics a plus.
• Profound knowledge of the English language.