Wolters Kluwer Jobs For Freshers 2021 Hiring as Data Scientist of Any Degree Graduate
Wolters Kluwer Jobs For Freshers: Wolters Kluwer N.V. (Euronext: WKL) is a global information services company. The company is headquartered in Alphen aan den Rijn, Netherlands. Wolters Kluwer in its current form was founded in 1987 with a merger between Kluwer Publishers and Wolters Samsom.The company serves legal, business, tax, accounting, finance, audit, risk, compliance, and healthcare markets. It operates in over 150 countries.
Company Name: Wolters Kluwer
Company Website: Wolters Kluwer
Wikipedia: Wolters Kluwer Wiki
Position: Data Scientist
Degree Needed: B.E/B.Tech/M.Sc
Passout Batch: 2018/2019/2020
Drive Location: Pune
Experience Level: 0 – 2 Years
Package: As Per IT Standards
Jobs By Location And Passout Year:
| Pune | Hyderabad | Delhi |
| Mumbai | Coimbatore | Noida |
| Bangalore | Chennai | Off Campus |
| Nagpur | Gurgaon | Walk In |
| 2015 Batch | 2018 Batch | 2021 Batch |
| 2016 Batch | 2019 Batch | 2022 Batch |
| 2017 Batch | 2020 Batch | 2023 Batch |
Basic Qualifications:
- 0 – 3 years of experience working in field of Python Programming & Data Science/Engineering
- MSc in Statistics, Engineering in Computer Science, or related quantitative field
- Experience with analyzing and quantifying data collected through crowd sourcing protocols
- Knowledge of descriptive statistics and visualization tools
- Familiarity with Natural Language Processing (NLP)
- Good knowledge of Python programming language
- Experience of working with Linux Commands and Shell Scripting
- Knowledge of statistical modelling / machine learning techniques / Deep Learning (Good to have)
- Experience with data selection methods: identify how to choose which data for which experimental set ups
- Good communication and organizational skills with significant attention to detail
Your responsibilities will include:
- Diving deep into data, doing analysis, and discovering patterns/root causes. Generate insights that drive the product.
- Analyze and evaluate the quality of data used for model training and testing
- Collaborate with scientists and engineers on data collection and feature design efforts
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