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Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; advanced degree preferred. Expertise in data analytics tools and technologies (e.g., SQL, Python, R, Hadoop, Spark, Tableau.
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Professional qualifications (Actuarial, CFA, Data Science, etc.) Bachelor's degree in finance, economics, actuarial science, data science, or related field. Experience in predictive analytics and data governance.
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You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, multi-threading, garbage collection. You have a data driven mindset with a desire to automate wherever possible.
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Experience: Over 7 years of experience in delivering Data Science projects, utilizing Python programming, statistical and machine learning techniques, time series analysis, and data visualization.
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Data for Science – providing the interface between data and life sciences. Mars Petcare consists of four Divisions: Pet Nutrition, Royal Canin, Mars Veterinary Health and Science & Diagnostics.
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Advanced Education: BSc/MSc in Computer Science, Information Systems, or a related field. Data Processing: Oversee the collection, processing, and loading of ESI using industry-standard tools and methodologies.
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Our graduate programme is two years in length and starts with an additional 8 weeks in-person training at our Wimbledon office, which covers an extensive list of topics across data analytics, data engineering and data science, such as Python, Machine Learning, Tableau, PowerBI, AI, Web scraping as well as extensive soft skills and communication training.
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You have led client delivery across a range of projects, including data science, data engineering, data security and proven experience in relevant technologies (e.g., Python applied to data science.
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We are delighted to working with a specialist Insurance firm that are looking for a highly experienced MLOps Engineer to support their Data Science team and influence the data science delivery process by creating the infrastructure needed to acquire data from the data platform, deploy models, and maintain, monitor, and upgrade key data science services on both Azure's native platform and Databricks.
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Superscript is on the lookout for a passionate and enthusiastic Lead Data Scientist to steer data science strategy and deliver innovative uses of AI to the insurance industry. Own and lead data science projects from idea to implementation, ensuring they meet business objectives and customer needs.
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3-5 years data science experience working on optimisation algorithms (linear/integer programming) or machine learning (forecasting), with some experience on both topics. Reporting to: Director of Optimisation and Data Science.
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Will get to work on numerous challenging and exciting projects, including Salesforce, AI/Data Science, Generative AI, Automation, Cloud Enterprise and Cyber Security. Data Visualization: Develop data visualization tools and dashboards using Dash, Tableau, or PowerBI to present insights and trends effectively.
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If you’re a UK based programmer/coder with data science aspirations, an interest in insights/market research, and are keen to find a fulfilling technical role in a company that will value and develop you further (relocation and sponsorship [including post any visa expiry] is not available at this time), contact Carl at Resources Group.
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Our client is a market leading bulk annuity provider, they are expanding the team and looking for additional data science expertise. Experience with EDM systems, data tools such as Azure or AWS.
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As a Senior Data Scientist, you will be part of a close-knit team and pioneer the development and implementation of their Data Science and Machine Learning projects being rolled out company wide to help benefit the end user and their experience, collaborating with designers and backend developers, to ensure the successful delivery of high-quality performance.
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data science jobs in London, Morgan-city, Louisiana
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