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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Banking / Financial Services |
| Functional Area | DBA / Datawarehousing,Sales / BD |
| EmploymentType | Full-time |
Do you want to design and build next generation business applications using the latest technologies Are you confident at iteratively refining user requirements and removing any ambiguity Are you motivated to work in a complex, diverse and global environment We re looking for a software engineer to help us: selecting features, building and optimizing classifiers using machine learning techniques data mining using state-of-the-art methods enhancing data collection procedures to include information that is relevant for building analytic systems processing, cleansing, and verifying the integrity of data used for analysis doing ad-hoc analysis and presenting results in a clear manner creating automated anomaly detection systems and constant tracking of its performanceYour teamInfrastructure Core is a global organization within Group Technology Infrastructure & Security Engineering providing technology platforms to underpin our partners business applications. You will be part of the Integration Services team, which has a global footprint and works with clients and wider team members spread across the world. Together we drive consistency across business divisions and optimize operations and support costs, by providing timely, robust, cost effective solutions and products to our clients. You ll be working in the ECS, as part of the Technology division in Pune. As a Tech Data Engineer, you ll play an important role . You will be joining a well-established team who will provide invaluable guidance as you grow your knowledge and career. Team work is pivotal to our success, it plays a very important role. We offer flexibility in the workplace and equal opportunities to all our team members., overall 8+ years of experience excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. good scripting and programming skills experience with common data science toolkits, such as R, Python, data visualisation tools such as Plotly, GGplot, Grafana etc. proficiency in using query language SQL excellent Excel and good MS-Office skills experience using business intelligence tools (e.g. Tableau) good applied statistics skills, such as distributions, statistical testing, regression, etc. data-oriented personality analytical and problem-solving skills, great communication skills
Keyskills :
sqljavadata warehousinginformaticapythonbusiness intelligence toolsms officedata miningdata sciencecost effectivedata collectionmachine learningintegration servicessecurity engineeringbusiness intelligence