Data Scientist – Senior Consultant

BearingPoint GmbH; Milano; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

BearingPoint GmbH is seeking an experienced Data Scientist to join our Data & Analytics team. This position is a unique opportunity to unlock insights from data in a dynamic environment. Candidates must have a Master's degree and 4–5 years experience in Data & Analytics, with strong programming skills in Python and familiarity with cloud environments.

You will work on innovative projects and support the development of new service offerings while guiding junior team members.

Competenze

• 4–5 years of experience in Data & Analytics, with proven ability to design and deliver data-driven solutions.
• Experience in developing analytical models and machine learning techniques.
• Ability to handle an analytical project end-to-end.

Mansioni

• Unlock insights contained in the data universe.
• Work in a dynamic and innovative environment.
• Contribute to the management of a team-oriented environment.

Conoscenze

Data analytics

Python programming

Machine learning techniques

Cloud environments (AWS, Azure, GCP)

Generative AI

Team management

Bilingual communication (Italian and English)

Formazione

Master's Degree in Statistics, Finance, Business Analytics, Mathematics, Physics, Computer Science or related area

Descrizione del lavoro

We are currently looking for an experienced Data Scientist to join our Data & Analytics team.

This position is a unique opportunity to unlock insights contained in the data universe working in a dynamic and innovative environment.

We are looking for candidates with an international background that have experience and strong knowledge in Data Analytics applications in multi-disciplinary environments that provide real‑world impact for organizations.

You will be based in our office in Milan (preferably) or in Turin.

Background & Experience

• Master's Degree in Statistics, Finance, Business Analytics, Mathematics, Physics, Computer Science or related area

• 4–5 years of experience in Data & Analytics, with proven ability to design and deliver data‑driven solutions in business contexts

Technical Skills

• Experience in developing and applying analytical models and machine learning techniques to solve real business problems (including both predictive and exploratory approaches)

• Strong programming skills in Python and familiarity with modern data science libraries and frameworks

• Experience working with data across the full lifecycle, from data preparation and exploration to model development and deployment

• Familiarity with working in cloud‑based data and AI environments (e.g. AWS, Azure, GCP), leveraging advanced analytics and scalable processing capabilities (e.g. Databricks or similar platforms)

• Exposure to Generative AI and LLMs, including use cases such as text analysis, content generation, or process automation

• Understanding of prompt engineering principles and ability to integrate LLM‑based solutions into data and analytics workflows

• Awareness of best practices in model lifecycle management, reproducibility and collaboration within data teams

• Ability to understand business requirements and identify the best solution to achieve the expected outcome

• Ability to handle an analytical project end‑to‑end, from business need understanding till results presentation

• Ability to communicate both in Italian and English at all levels of the Organization (other European languages will be considered as a plus)

• Experience in planning and coordination of project team activities maintaining challenging and collaborative environment

• Ability to contribute to the management of a team‑oriented environment

• Experience in guiding or coaching junior team members within project delivery contexts

• Willingness to continuously learn and research on new approach and technologies related to data management and analytics

• Highly self‑motivated, proactive

• A collaborative mindset

• Exceptional written and verbal communication skills

Personal Attributes

• Highly self‑motivated, proactive

• A collaborative mindset

• Exceptional written and verbal communication skills

We want to offer you a unique experience!

• You will work in an organization where no two days are the same

• You will have the opportunity to work on stand‑alone change management projects, or as part of a multi‑disciplined team delivering a large‑scale technology or organization transformation program

• You will work in an international organization that is large enough to offer a wide variety of challenging opportunities, but in a local community where everyone knows your name and are always willing to offer support

• You will be supported in continuously growing your career and will have the opportunity to guide and mentor junior team members, contributing to both their technical development and broader professional growth

• You will work with other like‑minded and creative individuals to develop new ideas that have the potential to make a real difference to the businesses we work with

• You will have the opportunity to support the development of new business and service offerings

• You will have the opportunity to build strong relationships with BearingPoint top management and companies you will be working with

Equality & Inclusion

BearingPoint is an equal opportunities employer. We are committed to creating a diverse and inclusive workforce where each individual feels they belong. Fostering a work environment with a strong sense of community and where everyone can thrive is a core pillar of our business.

We are focused on attracting and retaining the best people with the right skills and the desire to deliver excellent results, regardless of background. In return, we will provide a working environment in which everyone feels valued and has the opportunity to fulfill their potential, where their talents are fully utilized, and company goals are met. We celebrate the strength that comes from our similarities and our differences through local initiatives which promote inclusion, outreach, and respect.