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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
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Coding experience in programming languages (i.e. Alteryx, R, Python, VBA , SQL)What makes you stand out:Reinsurance experienceGUY CARPENTERGuy Carpenter & Company, LLC is a leading global risk and reinsurance specialist with more than 3,100 professionals in over 60 offices around the world.
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Basic knowledge in: VBA, Python, R, Matlab, Java, C. Opportunity to learn SQL, python, simulation, predictive analytics, and other skills. Our Engineering Rotational Development Program enhances the experience of engineering graduates transitioning from student to full-time engineer.
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Strong data analysis skills (e.g., SQL, python, R) along with an understanding of technical patterns used to consume and process data at scale (e.g., graphQL, spark) You are also able to coach others and be a mentor in Ontology and Data Modeling.
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Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
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Programing skills such as VBA, R or Python and proficient knowledge of manipulating databases like SQL would be an advantage. Actuarial exam progress toward ACAS and/or FCAS credentials is highly encouraged.
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Technical Requirements: Advanced SQL/Teradata Tableau Advanced PowerPoint/Think-Cell Advanced Excel Python/R/Data Modeling optional but preferred. Technical Requirements: Advanced SQL/Teradata Tableau Advanced PowerPoint/Think-Cell Advanced Excel Python/R/Data Modeling optional but preferred.
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Java, Python) or an analytical language (SAS, R) Under the umbrella of Self-Service and Data Literacy Program, the team is looking to build an Analytics Concierge Team to be the go-to resource for everything within the analytics and business intelligence process (including data discovery, data mining, data analysis and customized visualizations.
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Experience required with neuroimaging software (ANTs, FreeSurfer, SPM), programming/scripting (PERL, Python), open-source software development (Github), and working statistical knowledge (R, STATA, SPSS.
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Expertise in at least one statistical programming language, such as R or Python. This person supports internal and external partners through the development of quantitative research and evaluation methodologies, data visualization, predictive modeling, and the application of appropriate advanced statistical methods.
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Proficiency in programming R/Python/C/Java. Preferred ACAS or FCAS Credentialed. Aon is looking for a Reinsurance Actuarial Managing Director. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself.
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Experienced in python and R and in using Linux/Unix. Familiar with genomics assays and their computational pipelines. We pursue a multi-disciplinary approach integrating data across biological scales in the brain, including molecular Chromosome-Conformation-Capture sequencing technologies, single-cell imaging, optogenetics, genome engineering, induced pluripotent stem cell differentiation to neurons/organoids, and in vitro and in vivo electrophysiological measurements.
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Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau. Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
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Excellent programming skills in languages such as Python, R, or Perl. Experience with NGS data analysis, including variant calling, annotation, and visualization. Responsibilities:Clinical Genomic Data Analysis and Interpretation:Perform bioinformatics analysis of genomic data obtained from clinical samples, including next-generation sequencing (NGS) data, microarray data, and other relevant data types.
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Visualization and modeling using R, Python, Excel of complex datasets. Water chemistry, drinking water treatment processes including organic and inorganic contaminant removal, filtration, oxidation and disinfection.
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