Data Scientist- Advanced

Fincons Group is an IT business consulting company that has been designing the digital future of leading companies on international markets for 40 years. Fincons Group built its reputation on foreseeing and interpreting new business models and the rapid evolution of IT systems by building a complete range of services: from research and consulting to design and development, from system integration of leading vendor software solutions right up to application management, supporting clients step by step along their digital transformation journey. Fincons is a multinational with over 2,600 people and several offices worldwide (in Italy, Switzerland, Germany, France, the United Kingdom, Belgium and the USA), but above all a Family Company where the founders play a strategic role with commitment and passion, grounding the company in the same principles of a united and caring family.
We firmly believe in the value of cooperation and in the contribution that every idea and intuition can bring. We believe that everyone’s effort can make a difference. Transforming knowledge into a strategic resource is our company mission, and we pursue it with the help of our most strategic asset: our people.

To support our customer, we are looking for a:

DATA SCIENTIST – ADVANCED

TASKS:

- Designs and develops Data Analytics, Data Visualization and Artificial Intelligence solutions ;
- Elicits, analyses and translates business, user and technical requirements into Data Science specifications and user stories;
- Supports business experts and product owners during requirements definition, solution design and model development ;
- Maintains and manages requirements, user stories and Data Science artefacts throughout the solution lifecycle;
- Produces technical documentation for Data Science models, analytical modules and related processes;
- Defines Data Science standards, estimates development effort and timelines, and contributes to quality assurance and change management activities;
- Defines, collects and monitors model performance metrics and business KPIs ;
- Manages model repositories, pipelines, testing and deployment activities , ensuring solution performance and accuracy;
- Designs, plans and manages prototypes and proof-of-concepts (PoCs) , facilitating Design Thinking sessions with business stakeholders;
- Manages and coordinates Data Science teams , contributing to project delivery and continuous improvement of Data Science and Data Engineering practices.

REQUIREMENTS:

- Has performed the role of Data Scientist in the development and deployment of advanced Analytics, AI and Machine Learning solutions, including common data model design and delivery of end-to-end Data Science and Machine Learning solutions;
- Expert in Advanced Analytics, Artificial Intelligence, Machine Learning and data platform architecting , with strong understanding of advanced analytical and AI-driven solutions;
- Practical experience with Azure-based Data Science and AI services , including Azure Machine Learning, Azure AI Foundry, Azure OpenAI and comparable AI/ML platforms, covering experimentation, evaluation, deployment and lifecycle management;
- Advanced practical experience in Python-based Data Science and Machine Learning development , with sound knowledge of Python, R and SQL, and hands-on experience with frameworks such as pandas, scikit-learn, TensorFlow, PyTorch, MLflow and Spark/PySpark;
- Expert in data analytics and visualisation , with hands-on experience in data visualization techniques and tools and in analysing large volumes of structured, semi-structured and unstructured data;
- Practical experience across multiple Data Science and AI use-case families , including forecasting, predictive analytics, predictive maintenance, recommendation systems, classification, clustering, anomaly detection, Natural Language Processing (NLP), document intelligence, information extraction, Retrieval-Augmented Generation (RAG), video and computer vision analytics;
- Good understanding of modern database technologies, including SQL, NoSQL and document databases , and experience working with heterogeneous data sources such as APIs, enterprise platforms and large-scale datasets, with attention to data quality, lineage, metadata and reproducibility;
- Familiar with Data Engineering and Data Quality practices , as well as Data Science methodologies and processes such as CRISP-DM, TDSP and KDD;
- Practical experience with MLOps and DevOps practices , including version control, reproducible pipelines, model and artefact registries, CI/CD, automated testing, monitoring, documentation and controlled promotion between environments;
- General knowledge of cloud and on-premises Big Data platforms, Data Mining and ML frameworks , with the ability to design and operate AI workloads in hybrid cloud, on-premises and secure or restricted environments using technologies such as Docker and Kubernetes/OpenShift;
- Strong understanding of AI Ethics, Responsible AI, model risk management, explainability, traceability, governance controls, data protection, bias mitigation and human oversight , together with awareness of market trends in Advanced Analytics and AI;
- Ability to translate business needs into measurable Data Science requirements, propose realistic technical approaches, develop prototypes, communicate results and limitations to stakeholders, and produce clear documentation; experience in Data-Driven Organisations and Data & AI Centres of Excellence is considered an advantage.

SKILLS:

- Presents excellent communication skills;
- Holds ability to document effectively;
- Presents problem solving skills;
- Presents leadership skills;
- Practical knowledge of Data science, ML models developing and MLOps culture;
- Analytical skills and understanding of Data scientist process;
- Practical experience in building and train Machine Learning and Deep Learning models.

CERTIFICATIONS:

At least 2 certifications among:

- Certified Analytics Professional (CAP);
- CDP Data Engineer;
- CDP Data Analyst;
- Microsoft Certified Azure Data Scientist Associate.

Language knowledge: English C1

Office: Warsaw, Poland. Regular on-site presence.

Minimum level of qualification:   Master’s degree and 8 years of experience.

If interested, please apply!

Our personnel search is addressed to candidates of all genders.

The data will be processed and stored exclusively for the purposes of this or future selections, in compliance with the Federal Data Protection Law (LPD) and guaranteeing the rights referred to in art. 13 Legislative Decree 196/03 and EU regulation 679/2016 (GDPR)

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