Wolters Kluwer Placement | Btech / BE Fresher Jobs | Pune


Wolters Kluwer is conducting placement drive. Students who are finding B Tech/ BE fresher jobs can apply for this off campus drive. For complete information, job description, link and other details about this fresher Job read below.


Company: Wolters Kluwer
Company Website: www.wolterskluwer.com
Job Location: Pune
Position: Data Scientist
Salary: Best in industry
Experience: Freshers
Qualification Criteria: B.E/B.Tech/M.E/M.Tech
Batch- 2020
Last Date To Apply: Asap
Eligible Branches:
Computer Science
Information Technology


About Company:

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.

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.

Interview/ Selection Process:
1. Written exam
2. Technical Interview
3. HR Round
       
How to Apply

Step 1 – Click on Apply here link, it will redirect you to the company official website.

Step 2 – Click on the Register button and register on the website. If already register than ignore step 2.

Step 3 - Login with register Email ID and password and fill the details.

Step 4 - Wait for shortlisting if your profile matches with criteria.

All the best!
Click Here To Apply - Click here