{"id":1998005,"url":"https://alion.io/job/ericsson-data-scientist-intern","title":"Data Scientist Intern","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":77,"open_postings":80,"ghost_share":0,"stale_share":0.938,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-09T06:01:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":109000,"period":"year","method":null,"sample_n":4222},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Matplotlib","optional":true},{"name":"Seaborn","optional":true}],"status":"live","first_seen_at":"2026-09-17T12:27:59Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-10T01:26:53Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Grow with us\nAbout this opportunity:\nOur Exciting Opportunity We are seeking a technically curious Data Science Intern to join our applied analytics team. You will collaborate with experienced data scientists and engineers to transform data into actionable insights and help deliver reproducible, well-tested analyses. This internship is hands-on: you will contribute to model development, experiment design, and end-to-end workflows while learning production-aware practices such as version control, containerization, and basic deployment patterns.\nWhat you will do:\nTranslate business problems into measurable data questions and define evaluation criteria (metrics, baselines).\nPrepare and engineer features from structured and unstructured sources; write clear, reproducible data pipelines and SQL queries.\nImplement, train, and evaluate models (regression, classification, clustering, simple neural networks) with attention to cross-validation, hyperparameter tuning, and performance monitoring.\nDevelop notebooks and modular Python code (with unit tests and documentation) and help package work for reproducibility (Git, virtual environments, Docker basics).\nProduce clear visualizations and model summaries to communicate results and limitations to stakeholders.\nCollaborate in code reviews, experiment tracking, and model validation; learn essentials of MLOps (model versioning, basic deployment concepts).\nTo be successful in the role you should have: Education & Knowledge:\nCurrently enrolled in or recently graduated from Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.\nSolid grounding in statistics, basic probability, and core machine learning concepts (bias/variance, regularization, evaluation metrics).\nSkills & Tools:\nProficient in Python and familiar with common libraries (pandas, numpy). Strong emphasis on writing modular, readable code.\nExperience with Jupyter notebooks and at least one ML library (scikit-learn required; exposure to PyTorch or TensorFlow is a plus).\nComfortable writing SQL for data extraction and basic familiarity with data ingestion/ETL concepts.\nBasic data visualization skills (matplotlib, seaborn, or equivalent) and ability to interpret model diagnostics.\nFamiliarity with Git for version control; interest in containerization (Docker) and cloud concepts (AWS/GCP/Azure) is advantageous.\nPreferred:\nCoursework or projects demonstrating model evaluation, cross-validation, hyperparameter search, or simple deep learning.\nExposure to experiment tracking tools, collaborative development (code reviews), or basic model deployment workflows.\nStrong communication skills and eagerness to adopt software engineering best practices.\nWhat we offer:\nMentorship from experienced data scientists and engineers.\nHands-on work on end-to-end projects with real datasets and measurable business impact.\nOpportunity to learn production-aware data science practices and advanced techniques.\nA collaborative environment where technical growth and best practices are encouraged.\nDuration: Minimum 6 months (flexible)","description_format":"text","description_chars":3084,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Mobile Networks","Telecom Infrastructure","Network Equipment"],"lifecycle":[{"event":"open","at":"2026-10-07T09:55:51Z"}],"visa":[],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.533,"p_room":0.75,"age_days":21,"expected_fill_days":26,"reasons":["conf:0","stale_co","velocity","win:late","comp:junior,brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":null,"html_url":"https://alion.io/job/ericsson-data-scientist-intern","json_url":"https://alion.io/job/ericsson-data-scientist-intern.json","meta":{"generated_at":"2026-10-10T02:03:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3640,"day_limit":5000,"remaining_today":1360,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":56456},"rest":"https://alion.io/mcp/rest/get_company?id=56456"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fericsson-data-scientist-intern"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fericsson-data-scientist-intern"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fericsson-data-scientist-intern"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ericsson-data-scientist-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fericsson-data-scientist-intern"}]}