Senior Data Scientist

🔥 2 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Inetum

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

💰 Post-IPO Equity on 2007-03

Consulting • Healthcare • Insurance

Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.

📋 Description

• Develop and deploy predictive models using Python and practical machine learning techniques • Work with production, process, sensor, and time-series data to derive actionable insights • Optimize processes and support quality and scrap prediction • Develop solutions for anomaly detection and predictive maintenance • Independently own analytics and modeling work • Ensure high-quality deliverables • Communicate findings and recommendations clearly to customer stakeholders in professional English

🎯 Requirements

• Proven experience applying machine learning to heavy/continuous manufacturing industries, such as pulp and paper, steel/metals, chemicals, refining, glass, or pharmaceuticals • Experience with high-frequency, noisy historian/SCADA/telemetry feeds • Experience handling sensor drift and missing data • Experience with continuous time-series feature engineering • Hands-on experience developing and deploying models for at least two of: scrap reduction and product quality prediction; process parameter optimization and yield maximization; asset health, anomaly detection, or predictive maintenance • Mastery of Python data science libraries including pandas, polars, numpy, scipy • Mastery of classical machine learning and gradient boosting tools including LightGBM, XGBoost, CatBoost, and scikit-learn • Experience with time-series packages • Ability to translate ambiguous operational problems into structured analytical tasks • Ability to work directly with plant engineers and operations stakeholders • Ability to present findings clearly • Willingness to travel to the UK approximately twice during the initial project phase • Fluent English and Polish • Additional programming languages or data science tools are nice to have • Familiarity with cloud platforms and data science or machine learning services is nice to have • Advanced degrees or certifications in Data Science, Machine Learning, or related fields are nice to have

🏖️ Benefits

• A cafeteria system allowing employees to personalize benefits • Referral bonuses of up to PLN6,000 • Additional revenue-sharing opportunities for initiating partnerships with new clients • Dedicated Team Manager guidance • Tailored technical mentoring from an assigned technical leader • Team-building budget for online and on-site team events • Opportunities to participate in charitable initiatives and local sports programs • Supportive and inclusive work culture emphasizing diversity and mutual respect • Fully funded training, certifications, and participation in technology conferences • Remote work for candidates based in Poland