{"id":2430926,"url":"https://alion.io/job/pbdrecruit-data-scientist","title":"Data Scientist","company":{"id":4418268,"name":"Pale Blue Dot® Recruitment","domain":"pbdrecruit.ie","url":"https://alion.io/company/pbdrecruit","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Galway, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":134000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-11T09:42:52Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-13T14:11:22Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Data Scientist\nTen Month Contract\nPale Blue Dot® Recruitment is recruiting a Data Scientist for a ten-month contract with a leading global organisation based in Galway.\nThe successful candidate will join an EMEA Digital Solutions team responsible for using connected-product and telematics data to improve product performance, reliability and customer operations. This is a hands-on position for an experienced Data Scientist who can independently take an engineering or business problem from initial investigation through to a working analytical solution. The successful candidate must be comfortable operating as the principal Data Scientist on assigned projects, without relying on another Data Scientist for day-to-day technical direction.\nPosition Overview\nThrough the implementation of its telematics strategy, our client collects extensive machine, sensor and operational data from refrigeration units operating around the world. The Data Scientist will analyze this data to identify meaningful patterns, develop predictive models and create practical solutions that improve product performance and help customers manage their transport operations more efficiently and reliably.\nThe role involves working with large structured IoT and telemetry datasets and applying machine learning, statistical modelling and data exploration techniques to real engineering and operational challenges.\nCore Areas of Responsibility\nApplied Machine Learning and Predictive Modelling\nDevelop supervised machine-learning models for predictive maintenance, equipment failure prediction, anomaly detection and operational optimisation.\n\nCarry out feature engineering, model selection, validation and performance evaluation.\n\nDevelop appropriate approaches for imbalanced datasets, rare failure events and incomplete or uncertain ground-truth data.\n\nApply statistical inference and supervised and unsupervised machine-learning techniques to identify meaningful patterns and predict equipment behaviour.\n\nTransform analytical outcomes into scalable and optimised solutions suitable for always-on production environments.\n\nSQL Data Exploration and Feature Engineering\nIndependently explore large structured IoT, telemetry, time-series and sensor datasets using advanced SQL.\n\nIdentify relevant signals and create reliable modelling datasets by joining, cleaning and aggregating information from multiple sources.\n\nInvestigate data quality, availability and limitations before selecting an appropriate analytical approach.\n\nManipulate and visualise structured and unstructured datasets.\n\nEstablish suitable ground truth by working with engineering teams and investigating equipment behaviour, operating conditions and historical events.\n\nEnd to End Project Ownership\nTake ownership of Data Science projects from initial problem definition through data investigation, modelling, evaluation and communication of results.\n\nWork independently to understand the equipment or business problem, investigate the available data, establish ground truth, test potential solutions and evaluate results.\n\nLead assigned projects, including defining scope, estimating timelines and coordinating activities with cross-functional contributors.\n\nCommunicate findings, limitations and recommendations clearly to engineering teams, customers and other stakeholders.\n\nOperate effectively as the principal Data Scientist without requiring day-to-day technical direction or mentoring from another Data Scientist.\n\nAdditional Responsibilities\nUse cloud technologies, machine-learning techniques and statistical models to generate insights, improve predictability and support optimisation at scale.\n\nCollaborate with product, engineering, data engineering, software and DevOps teams to define problems and design analytical solutions.\n\nTranslate analytical findings into clear metrics, visualisations and practical recommendations.\n\nSupport the development and deployment of reliable, scalable Data Science solutions.\n\nDocument analytical methods, assumptions, model performance and conclusions.\n\nPromote recognised industry practices in Data Science, machine learning and statistical analysis.\n\nCommunicate the value and practical application of Data Science and machine learning to technical and non-technical audiences.\n\nRequirements\nDegree or master’s qualification in Data Science, Mathematics, Physics, Computer Science, Engineering or a related discipline.\n\nApproximately three to five years of professional experience in an applied Data Science or Machine Learning role.\n\nStrong experience developing supervised machine-learning and predictive-modelling solutions.\n\nPractical experience working with structured time-series, telemetry, sensor or other machine-generated data.\n\nAdvanced SQL skills, including independently exploring large datasets and combining data from multiple sources.\n\nStrong Python skills for data manipulation, statistical analysis and machine learning. Relevant experience using R may also be considered.\n\nExperience with feature engineering, model selection, validation and evaluation.\n\nExperience addressing imbalanced datasets, anomaly detection or rare-event prediction.\n\nGood understanding of machine-learning techniques used for classification, regression, clustering and anomaly detection.\n\nAbility to manipulate, analyse and visualise both structured and unstructured datasets.\n\nProven ability to take an ambiguous business or engineering problem from initial concept through to a practical, evidence-based solution.\n\nStrong communication and data-visualisation skills, including the ability to convert analytical findings into clear explanations and recommendations.\n\nExperience leading projects and estimating the resources and timelines required to deliver analytical solutions.\n\nDesirable Experience\nExperience developing predictive-maintenance, reliability, survivability or equipment-failure models.\n\nExperience working with IoT, connected-product or industrial telemetry data.\n\nKnowledge of Tableau or a comparable data-visualisation platform.\n\nExperience supporting the deployment or scaling of machine-learning models within production environments.\n\nUnderstanding of automotive engines, refrigeration systems, industrial equipment or machine-performance data.\n\nPrevious experience working with engineering, manufacturing or product-development teams.\n\nCandidate Profile\nThe successful candidate will be naturally curious, analytically rigorous and comfortable working in an environment where the problem and potential solution may not initially be fully defined. You should enjoy investigating complex datasets, understanding how physical equipment operates and translating analytical findings into solutions that deliver measurable engineering or customer value. You must be capable of working with a high level of autonomy while collaborating effectively with multidisciplinary product, data and engineering teams.\nContract Information\nLocation: Galway\n\nContract duration: Ten months\n\nWorking arrangement: Full-time contract\n\nFurther details regarding the engagement structure will be discussed during the recruitment process.\nImmediate interviews available for suitable candidates.\nNote: By applying for this position, you may also be considered by Pale Blue Dot® Recruitment for other relevant opportunities.\nPale Blue Dot® Recruitment - Experts in STEM Workforce Solutions","description_format":"text","description_chars":7383,"description_truncated":false,"requirements":{"experience_years_min":3,"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":"2026-10-13T09:03:57Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.316,"p_room":0.45,"age_days":32,"expected_fill_days":19,"reasons":["conf:5","agency","win:tail"],"computed_at":"2026-10-13T19:17:31Z"},"pay":null,"html_url":"https://alion.io/job/pbdrecruit-data-scientist","json_url":"https://alion.io/job/pbdrecruit-data-scientist.json","meta":{"generated_at":"2026-10-13T19:17:31Z","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_verified","counted_by":"address","units_charged":1,"used_today":29425,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":4418268},"rest":"https://alion.io/mcp/rest/get_company?id=4418268"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpbdrecruit-data-scientist"},{"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%2Fpbdrecruit-data-scientist"},{"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%2Fpbdrecruit-data-scientist"},{"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/pbdrecruit-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpbdrecruit-data-scientist"}]}