{"id":4091378,"url":"https://alion.io/job/sea-and-beyond-data-scientist-data-engineering-python-sql-business-intelligence","title":"Data Scientist | Data Engineering | Python & SQL | Business Intelligence","company":{"id":4535157,"name":"Sea and Beyond","domain":"seaandbeyond.com","url":"https://alion.io/company/sea-and-beyond","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":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-11T17:26:25Z","employer_posted_date":null,"last_verified_at":"2026-11-11T17:26:25Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role Overview\nAs a Data Scientist, you will play a key role in building and managing analytical, predictive, and data-driven capabilities across market intelligence, operational performance, commercial insights, and organizational analytics. The role involves developing scalable data systems, predictive models, dashboards, and automation solutions to strengthen business decision-making and support the organization's digital transformation initiatives.\n\nKey Responsibilities:\n\nDesign and manage unified, structured databases across market, operational, and organizational datasets.\nBuild scalable, analytics-ready data pipelines and improve data integrity, standardization, and enterprise-wide data accessibility.\nDevelop statistical and predictive models for market forecasting, pricing intelligence, fuel and bunker trends, voyage economics, and operational performance.\nConduct trend analysis, correlation studies, and scenario modelling to generate actionable business insights.\nCollaborate with Finance and Strategy teams to support business planning, risk management, and board-level reporting.\nBuild dashboards and decision-support tools using Power BI and AI-based analytics platforms.\nDrive automation across reporting and analytics workflows to improve efficiency and accuracy.\nApply machine learning techniques to enhance forecasting accuracy, analytical capabilities, and decision-making speed.\nWork closely with Chartering, Operations, Technical, Strategy, Finance, and Derivatives teams to understand business requirements.\nTranslate business challenges into scalable analytical solutions and present insights effectively to senior leadership.\n\nRequirements\n\nBachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.\nMinimum of 5 years of hands-on experience in analytics, data engineering, and business intelligence.\nStrong proficiency in SQL, Python, and data visualization tools such as Power BI or Tableau.\nPractical experience in machine learning, statistical analysis, and predictive modelling.\nFamiliarity with APIs, cloud databases, and workflow automation tools.\nExposure to the shipping, logistics, or commodities industry will be an 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