... support. Skills You Can Develop: During the internship, you can gain practical exposure to: Data Analytics | Business Intelligence | Data Cleaning | Exploratory Data Analysis | Data Visualization | Dashboard Development | Business Analytics | Statistical Analysis | Data Interpretation | Reporting | AI-powered Analytics Who ...
Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...
Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...
... deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement. Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics. Strong thought leadership in AI/ML, including guiding stakeholders on feasibility, risk, architecture, and adoption strategy. ...
... experience designing and building applications using classical ML models and Large Language Models (LLMs). - Expert-level proficiency in Python, SQL and its data science libraries (e.g., Proven track record of leading complex, end-to-end data science projects that have delivered significant business impact. Experience ...
... Lambda . Write and optimize complex SQL queries for data transformation, reporting, reconciliation, and analysis. Work with data from APIs, SaaS applications, databases, flat files, and other enterprise sources. Design data models and structures to support reporting and analytics requirements. Implement data quality checks, ...
... partners. in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science) or equivalent practical experience. - Experience: 2–4 years of Data Science experience, ideally including 3+ years focused on Credit Risk, Fraud Analytics, Lending, or Fintech. - Production-grade fluency in Python and advanced, ...
... deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement. Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics. Strong thought leadership in AI/ML, including guiding stakeholders on feasibility, risk, architecture, and adoption strategy. ...
... reporting, and metadata coverage.- Collaborate across business, IT, legal, and compliance teams for role https://jobeax.com/link/D9UR6EbHufGvIjFa Candidate :- Strong Data Governance Lead Profile with deep Microsoft Purview and enterprise governance expertise.- 7+ years of experience in data governance and data management with at ...
... headquartered in Kingsport, Tennessee, USA. For more information, visit . Role Description Data Scientists at Eastman provide actionable insights using advanced analytics to help the company make better and faster decisions. Our centralized Data & Analytics department is organized into specialized groups including Applied Statistics, ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... with requirements gathering and stakeholder interviews.- Strong analytical and problem-solving https://jobeax.com/link/D1cYk5JWAvbfErTV Stack/Understanding :- Data Catalogs- Metadata Management- Data Quality- Data Governance Frameworks- Advanced Excel, PowerPoint, and reporting https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications ...
India, Gurugram
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UNISON INTERNATIONAL CONSULTING (The Recruitment Company)
WE'RE HIRING | DATA ENTRY OPERATOR Work Mode: On-site | Full-time Experience: 0–5 Years Good typing speed with strong accuracy Proficiency in MS Excel, MS Word & Google Sheets Strong attention to detail and data accuracy Ability to manage and organize large volumes of data Basic computer and internet skills Familiarity ...
... datasets. Work with PostgreSQL databases for structured data management and optimization. Develop APIs and backend services using FastAPI. Integrate multiple data sources and ensure data consistency and quality. Collaborate with cross-functional teams for analytics, reporting, and business intelligence solutions. Optimize ...
Job Title: Data Scientist Experience: 3–8 Years Work Mode: Hybrid Notice Period: Immediate Joiner Job Description We are looking for an experienced Data Scientist with strong expertise in advanced analytics and GenAI to support end-to-end data-driven solutions. The ideal candidate will work closely with cross-functional ...
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... AI-ready enterprise data products within Microsoft Fabric.- Define architectures for data ingestion, transformation, lakehouse, warehousing, semantic modelling, analytics and self-service reporting using Microsoft Fabric and Power BI.- Establish data governance, metadata, lineage, classification, data quality and information ...
... especially in low-tracking or post-cookie environments Experience at a PLG company with a self-serve funnel and freemium or usage-based / credit-based pricing Modern data stack (BigQuery, dbt) and product analytics platforms (PostHog, Amplitude, Mixpanel, Segment) Causal inference methods (difference-in-differences, synthetic control, ...