Snr Data Scientist

Location: Lodz/ Poland (relocation required)

VISA sponsorship: will be provided

Relocation package- will be provided

Permanent/ Full- time position (UoP)

Work model: hybrid

Company profile: Global/ multicultural environment (established industry leader)

We are looking for a data‑driven professional who enjoys turning complex operational data into clear, actionable insights for the business. This role sits at the intersection of data, technology, and operations, supporting stakeholders by transforming raw data into meaningful reports, dashboards, and visual insights that drive decision‑making.

You will take ownership of the end‑to‑end analytics process - from understanding business questions, sourcing and shaping data, through to delivering insights that are easy to interpret and act upon.

This is a great opportunity for someone who is hands‑on, curious, and confident working with business stakeholders in a fast‑changing environment.

Must‑Have Skills & Experience

7+ yrs. of expr. in Data Scientist position

Strong experience with Python is essential (the first interview includes a case study to assess in-depth knowledge)

SQL knowledge required

Power BI expr. (or similar BI/visualisation tools knowledge) i s a must for

Solid, hands‑on experience using Python and SQL for data analysis

Proven ability to build reports, dashboards, and visual data products for business users

Experience working with structured datasets and transforming raw data into insights

Ability to explain data findings clearly to non‑technical stakeholders

Business fluent English

Main Responsibilities

Analyse, explore, and model complex datasets using Python (Jupyter Notebook/JupyterLab), including hands-on data gathering, validation, and structuring.

Build, own, and continuously refine KPIs/indicators to clearly measure and explain performance; drive execution through data.

Work directly with manufacturing/automation data, developing a strong understanding of systems and data flows in a fast-changing environment.

Take full ownership of delivery end-to-end (analysis, testing, stakeholder presentation in PowerPoint), demonstrating initiative, accountability, and consistently delivering complete, high-quality outputs (no “half-finished” work).

Partner with business teams to understand requirements, ask the right questions, and translate needs into data solutions

Extract, clean, analyse, and interpret data from multiple sources

Create and maintain Power BI dashboards, reports, and visual analytics that support operational and strategic decisions

Identify trends, patterns, issues, and opportunities in data, and present findings in a clear and practical way

Continuously improve data models, reports, and processes

Support data‑driven decision making by enabling easy access to insights and self‑service reporting

Nice to Have (Bonus, Not Essential)

Exposure to manufacturing, industrial, or operational environments

Understanding of how data is generated and consumed in production or automation systems

Experience with maintenance, asset, or operational data

Familiarity with concepts such as CMMS, MES, SCADA, or industrial data platforms

Experience working with KPI frameworks, operational reporting, or master data

Background in engineering, data science, or similar analytical disciplines

Communication & Collaboration

Strong communication skills with the ability to bridge the gap between data and the business

Comfortable presenting insights, explaining assumptions, and telling a clear story with data

Collaborative approach, working closely with both technical and non‑technical stakeholders

If you would like to learn more about this opportunity, please send your CV to kkalandyk@redglobal.com I will be in touch to discuss the role further.