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Must have two years' programming experience in at least two of the following: R, Python, SQL. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3.
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C#, Angular, HTML, Tableau/Snowflake, SAS SQL Databases, querying languages. Proficiencies in one or more of the following preferred: Python, R, Java, C/C. Development experience in building automation using RPA tools UiPath & Microsoft Power Automate; certifications preferred.
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Coding Competence: Basic proficiency in coding languages (Python, R, SAS, SQL, etc. Coding Competence: Basic proficiency in coding languages (Python, R, SAS, SQL, etc. The Sr. Director of Global Finance Data Strategy will drive the cohesive data roadmap across Finance, Procurement and GBS. The goal is to create a seamless experience to acquire, aggregate and assess data required to make business decisions moving from fragmented and manual today to automated and standard in the future.
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Net/Python, data analytics or databases such as SQL/ Oracle/ Teradata etc. Java Script, Python, IBM Maximo and other Oracle Utilities. We develop solutions using various languages such as SQL or PL/ SQL, Java.
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Performs data mining using tools such as SQL and MS Access connected to databases such as Oracle, SQL Server, and My SQL and applies appropriate programming languages such as Python, Java.
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Proficiency in programming languages (R, Python, SQL) Proficiency in programming languages (R, Python, SQL) Familiarity with scalable model deployment practices and technologies, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), cloud platforms, continuous integration, and continuous deployment (CI/CD) pipelines, monitoring tools, and version control systems.
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7+ years of programming experience (Python, Java, R, SQL) with 4+ years focused in machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn). 7+ years of programming experience (Python, Java, R, SQL) with 4+ years focused in machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn.
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Proficiency in programming languages like Python, R, or SQL for data analysis and modeling. Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, Scikit-learn.
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Proficiency with database query programming languages and data visualization platforms preferred (e.g., SQL, Python, Alteryx, Tableau, Power BI, Snowflake, etc.) Proficiency with database query programming languages and data visualization platforms preferred (e.g., SQL, Python, Alteryx, Tableau, Power BI, Snowflake, etc.
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Intermediate knowledge of SAS, R, SQL, and/or Python, Snowflake is highly desired. Familiarity with market risk, credit risk (underwriting, CECL loss reserving, portfolio management), operational risk measurement, and stress testing methodologies / quantitative analytics.
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Proficiency in Excel, SQL, and Power BI. Python experience preferred but not required. You will play a pivotal role focusing on improving commercial analytics and pricing capabilities for AIG. The role's responsibilities encompass the development of sophisticated analytics, tools, and dashboards crafted to furnish insightful business intelligence, facilitating informed decision-making processes for the AIG commercial teams.
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Provide coding expertise in Python (FastAPI and Django), React JS, TypeScript, SQL, NoSQL, and AWS to develop frontend and backend applications. 1 year of professional experience with React JS and Python.
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Develop automated and repeatable logic for data extraction from centralized enterprise level data sources using Python, SQL or other tools. Proficiency in data query and management languages such as SQL or Python.
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Knowledge of text analytics and natural language processing, sequence labeling, machine learning, probabilistic and statistical learning methods. Actively pursuing a graduate degree in Computer Science, Information Technology, Data Science, Statistics or other related field at an accredited university during internship.
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2+ hands-on industry experience working with SQL on various relational databases/platforms (SQL Server, Snowflake, Synapse, Postgres, Databricks, etc). 2+ years of hands-on experience with object-oriented programming in Python (preferred) or similar such as Go, Rust, C#, etc.
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