{"id":3825280,"url":"https://alion.io/job/nexus-grid-data-scientist","title":"Data Scientist","company":{"id":4517482,"name":"Nexus Grid","domain":"nexus-grid.net","url":"https://alion.io/company/nexus-grid-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arnhem, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-05T13:27:55Z","employer_posted_date":null,"last_verified_at":"2026-11-05T13:27:55Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Data Scientist\n\nTurn grid data into insight. Build models that matter. Help keep the power on.\n\n Product / Data Science\n\n Arnhem, Netherlands or Munich, Germany · Hybrid\n\n Occasional travel\n\n English\n\n Full-time, permanent\n\n Medior (Master’s or PhD, 2–5 years’ experience)\n\nYour opportunity\n\nNexus Grid turns measurement data from power cables into insights that help grid operators prevent failures and act faster. As Data Scientist you work on the analytics and AI models behind our products, including PulseIQ, from fault location and pre-fault detection to asset health and prediction.\n\nYou are not working on abstract datasets. You work on real signals from real networks, and you see your models used by customers to make better decisions.\n\nWhat you will do\n\n Develop, validate and improve models for fault detection, localization and asset condition assessment.\n\n Analyze large volumes of time-series and event data from Smart Cable Guard installations.\n\n Apply machine learning and AI techniques to create new insights and product features.\n\n Work with product, engineering and customer teams to turn models into reliable, usable features.\n\n Monitor model performance in production and improve accuracy over time.\n\n Communicate findings clearly to technical and non-technical stakeholders, including customers.\n\nWhat success looks like\n\n Models are accurate, robust and used in production by customers.\n\n New insights and features reach the product and add measurable customer value.\n\n Data quality and analysis workflows are clear, reproducible and well documented.\n\n Customers and colleagues trust and understand the insights we deliver.\n\nRole focus\n\nAnalytics, machine learning and AI\n\nYou will enjoy this role if you...\n\n like solving real-world problems with data\n\n are curious about signals, physics and patterns\n\n take ownership from idea to production\n\n communicate results clearly\n\n enjoy working in a small, close team\n\nPotential growth path\n\nPotential progression includes Senior or Lead Data Scientist, with opportunities to contribute to our AI roadmap, depending on performance and business needs.\n\nWhat you bring\n\nEssential\n\n A master’s degree or PhD in data science, electrical engineering, physics, mathematics or a related field.\n\n Experience developing and validating machine learning or statistical models.\n\n Strong programming skills in Python and common data science libraries.\n\n Experience working with time-series or sensor data.\n\n A structured, curious approach and the ability to explain complex results simply.\n\n Fluent English.\n\nValuable, but you can learn it here\n\n Knowledge of power systems, cable networks or signal processing.\n\n Experience deploying models to production and with MLOps practices.\n\n Experience with cloud platforms and data pipelines.\n\n Familiarity with large language models or other AI tooling.","description_format":"text","description_chars":2853,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-05T18:15:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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