{"id":2163844,"url":"https://alion.io/job/veraxion-azure-data-scientist","title":"Azure Data Scientist","company":{"id":722518,"name":"Veraxion","domain":"veraxion.com","url":"https://alion.io/company/veraxion","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-09T08:55:50Z","employer_posted_date":null,"last_verified_at":"2026-10-09T08:55:50Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We are looking for a highly skilled Senior Data Scientist / AI-ML Engineer with 5+ years of experience in designing and developing AI/ML models, advanced analytics, and data science solutions. The role involves hands-on work with Python, statistical modelling, exploratory data analysis, and cloud AI/ML technologies such as Azure Machine Learning and Databricks. The ideal candidate will have strong Energy/Oil & Gas domain knowledge, the ability to translate complex data into actionable business insights, and experience collaborating with cross-functional teams to deliver scalable, high-quality solutions aligned with business goals.\nResponsibilities:\nCombine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges.\nCollaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework.\nIdentify and frame opportunities to apply advanced analytics, modelling, and related technologies to data to help Chevron businesses gain insight and improve decision-making, workflow, and automation.\nUnderstand and communicate the value of proposed opportunities with team members and other stakeholders.\nIdentify needed data and appropriate technology to solve identified business challenges.\nClean data and develop and test models.\nEstablish the life cycle management process for models.\nProvide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.\nDrives innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.\nAligns with the team on shared goals and outcomes, recognises others' contributions, and works collaboratively and seeks diverse perspectives.\nTakes actions to develop self and others beyond existing skill sets.\nEncourages innovative ideas, adapts to change and changing technologies.\nUnderstands and communicates data, insights, and model behaviours to stakeholders with varying levels of technical expertise.\nRequirements:\n5 years in designing and developing AI/ML models.\nSolid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e. g., supervised and unsupervised learning, statistics, data science model development).\nProficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred).\nDomain knowledge relevant to the energy sector and working knowledge of the Oil and Gas value chain (e. g., upstream, midstream, or downstream) and associated business workflows.\nProven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualise data, and identify actions to reach needed results.\nAbility to quickly assess current state and apply technical concepts across cross-functional business workflows.\nExperience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.\nAbility to translate complex data into actionable insights that drive business value.\nDemonstrated ability to engage and 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