Data Science Lead

Who we are

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 on regular basis, to drive their business towards impactful change.

• Become the go-to person for end-to-end data handling, management and analytics processes.

• Work with Data Engineers 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

• Manage client interactions and play a key role in building and maintaining client relationships.

• Apply knowledge of data science concepts to translate business problems to analytics solutions with clear output and with foreseen impactful outcomes.

• Provide project management oversight required to meet client expectations.

• Responsibilities may include the development of presentations and managing of external relationships.

• Seek compelling opportunities beyond the scope of the current project

• Provide guidance to more junior members of the team, while orchestrating the work of the entire team.

What you’ll bring

• Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences).

• Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the data under analysis.

• Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus.

• Proven ability to manage projects with expert team members and to provide inspiring guidance to juniors in the team.

• 5-7 years of consulting experience or relevant industry experience, with at least 1+ years at a project lead level.

• Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users.

• Professional fluency in English.