Wolters Kluwer Recruitment 2021 Hiring Freshers as Data Scientist of Any Degree Graduate

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Wolters Kluwer Jobs For Freshers
Wolters Kluwer Jobs For Freshers

Wolters Kluwer Recruitment 2021 Hiring Freshers as Data Scientist of Any Degree Graduate

Wolters Kluwer Recruitment 2021: 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.

Wolters Kluwer Recruitment 2021

Company Name: Wolters Kluwer

Company Website: Wolters Kluwer

Wikipedia: Wolters Kluwer Wiki

Position: Data Scientist

Degree Needed: B.E/B.Tech/M.E/M.Tech

Passout Batch: 2018/2019/2020

Drive Location: Pune

Experience Level: 0 – 2 Years

Package: As Per IT Standards

Jobs By Location And Passout Year:

PuneHyderabad Delhi
MumbaiCoimbatore Noida
BangaloreChennai Off Campus
NagpurGurgaon Walk In
2015 Batch 2018 Batch 2021 Batch
2016 Batch2019 Batch 2022 Batch
2017 Batch 2020 Batch 2023 Batch

Qualifications:

  • Bachelor’s Degree OR Post Graduate degree in Statistics, Operations Research, Economics, Mathematics, Computer Science, Engineering, Technology or related field.

Essential Skills and Traits:

  • Strong analytical and problem-solving skills.
  • Highly motivated, organized; Proactive self-starter and a team player. Takes ownership and makes the required judgements whenever necessary.
  • Collaborative in a global and continuously changing environment. Excellent written and verbal communication in English. Comfortable in explaining and defending your ideas and analysis, while still being able to recognize the merits of others’ opinions.
  • Likes learning and building competencies in new coding tools and statistical techniques.
  • Enjoys working in a fun, innovative, demanding and dynamic environment.

Tools/Software:

  • Strong foundation in statistical methodologies (e.g., linear/logistic regression, Segmentation/classification techniques.)
  • Knowledge or familiarity of data manipulation and analysis languages (e.g. Python/ SQL/Spark/Hive etc.) as well as data visualization platforms (Tableau, PowerBI etc.)
  • Familiarity with the Microsoft Office Suite (Word, Excel, PowerPoint and Outlook).
  • Knowledge of Natural Language Processing/Text mining concepts is strongly desirable.

Essential Duties & Responsibilities:

  • Gather and analyze information, design and code data processes and build predictive analytical models, formulate and test hypotheses, contribute to the development and communication of recommendations and help the leadership make informed business decisions for assigned projects; Managing the coding and/or extraction of data to conduct thorough analysis.
  • Able to understand the business insights through data analysis and building of models and other analytics.
  • Understanding data analysis projects by external consultants; being able to replicate their codes and processes in other languages if required.
  • Developing and analysing statistical and mathematical models on business opportunities; identifying key trends and data characteristics within the data sets that require further investigation; and using analysis to generate business recommendations (e.g., to improve profitability, to find more customers).
  • Help create and maintain a suite of advanced analytical/machine learning libraries that can help detect patterns within data; outline all structured and unstructured data elements required to fully evaluate data characteristics and make informed business decisions for assigned projects;
  • Participate in continuous process improvement initiatives by working across technical teams to enhance the systems, processes and controls, e.g., methods, standards, capabilities.
  • Ensure close collaboration with the rest of the team as well other stakeholders.

Apply Link: Click here

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