{"id":823981,"url":"https://alion.io/job/ncs-eg-data-scientist-1-year-contract","title":"#EG Data Scientist (1 year contract)","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":82,"open_postings":376,"ghost_share":0.298,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":114000,"period":"year","method":"role_country_seniority_unknown","sample_n":85},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"ggplot2","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"Shiny","optional":false},{"name":"Spark","optional":false},{"name":"Tableau","optional":false},{"name":"Waterfall","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Hadoop","optional":true},{"name":"R","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-07-09T08:08:30Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-18T03:49:54Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":100},"description":"NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.\n As a Data Scientist, you will design, develop, and deploy advanced analytics and machine learning solutions that uncover hidden insights from large, complex datasets. You will work closely with business stakeholders, project managers, and engineering teams to translate real-world business challenges into production-ready data science solutions. This role combines hands-on analytics development, applied research, and client advisory responsibilities, supporting organisations on their data science and AI journey.\nWhat will you do?\nApplied Data Science & Advanced Analytics\nTranslate customer pain points into clear analytical problem statements and solution architectures.\n\nDesign, build, and iterate end-to-end data science workflows, from data ingestion and preprocessing to feature engineering, modelling, and deployment.\n\nApply statistical analysis, machine learning, NLP, optimisation, and simulation techniques to solve complex business problems.\n\nPerform statistically sound model validation and clearly justify model selection and performance.\n\nModel Engineering & Production Deployment\nBuild scalable, efficient machine learning models for deployment in production systems.\n\nOperationalise analytics workflows using Python/R and distributed processing frameworks such as Apache Spark.\n\nDeploy and manage models using containerisation and orchestration tools (e.g. Docker, Kubernetes).\n\nLeverage LLMs to build GenAI or Agentic AI solutions where appropriate.\n\nInsights Communication & Visualisation\nDesign and develop impactful dashboards and visualisations to communicate actionable insights.\n\nPresent results, learnings, and recommendations clearly to both technical and non-technical audiences.\n\nAct as a trusted adviser to clients in conceptualising and evaluating advanced analytics solutions.\n\nCollaboration & Delivery\nWork closely with project managers and technical leads to provide regular status updates and refine analytics requirements.\n\nContribute to data architecture and engineering decisions that support analytics use cases.\n\nParticipate in interdisciplinary teams delivering projects using Agile or Waterfall methodologies.\n\nKnowledge Sharing & Mentorship\nContribute to internal communities of practice and special interest groups.\n\nMentor and upskill junior data scientists and peers, depending on seniority.\n\nThe ideal candidate should possess:\nMust-have\nStrong ability to communicate complex quantitative analysis in a concise, actionable manner.\n\nProven experience working with high-volume, high-dimensional structured and unstructured data.\n\nStrong expertise in feature selection and feature engineering across diverse data types.\n\nSolid grounding in machine learning techniques (supervised and unsupervised).\n\nDeep understanding of advanced analytics (statistics, NLP, optimisation, simulation).\n\nStrong programming skills in Python and/or R; experience with Apache Spark or similar frameworks.\n\nExperience using LLMs for GenAI or Agentic AI solution development.\n\nHands-on experience with data visualisation tools and libraries (e.g. Tableau, Qlik, Plotly, ggplot2, Shiny).\n\nExperience in model deployment and lifecycle management using Docker and Kubernetes.\n\nNice to have\nPostgraduate degree (Master’s or PhD) in Mathematics, Statistics, Business Analytics, or a related field.\n\nPrior consulting experience in AI and data analytics domains.\n\nExperience delivering advanced analytics solutions or conducting applied research.\n\nExposure to cloud and big data platforms (AWS, Azure, Hadoop, Spark, Cloudera).\n\nExperience with DevOps practices in analytics delivery.\n\nBackground in application or software development.\n\nExposure to deep learning, reinforcement learning, or graph analytics.\n\nKnowledge of database modelling and data warehousing concepts.\n\n Why Join NCS \nLead high-impact Data & AI advisory programs for major enterprises and public sector clients.\n\nShape enterprise strategies and governance frameworks that drive real transformation.\n\nWork with a talented, multidisciplinary team in a collaborative environment.\n\nCompetitive compensation and strong professional development support.\n\nWe are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.\nPlease note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. 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