Live opening · Posted 1 day ago

Data Scientist

Esse India | Canada immigration consultants in delhi | visa consultant delhi · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyEsse India | Canada immigration consultants in delhi | visa consultant delhi
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

Company Description Esse India is a Canada-focused immigration and visa consultancy based in Delhi, offering services at a reasonable and transparent price range. The organization is supported by an expert team that is well-versed in Canadian immigration rules, regulations, and procedures. Esse India aims to deliver trustworthy guidance and high-quality visa consulting services, ensuring clients feel confident throughout the immigration process. Since its establishment, the company has prioritized client satisfaction, striving to provide reliable service and strong value for each client’s investment.
Role Description This is a full-time, on-site Data Scientist role based in Canada. The Data Scientist will work closely with immigration and visa consulting teams to analyze client data, application outcomes, and process efficiency, transforming raw data into actionable insights. Daily tasks include collecting and cleaning data from multiple sources, building analytical and predictive models, and creating dashboards and visualizations to support decision-making and performance tracking. The role involves collaborating with cross-functional stakeholders to identify trends, improve client experience, optimize internal workflows, and support strategic planning. The Data Scientist will also document methodologies, present findings to non-technical team members, and ensure data quality, security, and compliance with relevant regulations.
Qualifications
Candidates should possess strong skills in Data Science and Data Analytics to build models and derive insights from complex datasets.
Candidates should possess solid knowledge of Statistics to design analyses, interpret results, and validate models with appropriate statistical techniques.
Candidates should possess expertise in Data Analysis and Data Visualization to explore data, identify trends, and communicate findings clearly to stakeholders.
Proficiency in programming languages commonly used in data science (such as Python or R) and experience with SQL and data manipulation tools.
Experience working with BI tools (such as Tableau, Power BI, or similar) for dashboard creation and reporting.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field.
Strong problem-solving and analytical thinking skills, with attention to detail and data accuracy.
Ability to collaborate effectively in a multidisciplinary team and communicate complex findings to non-technical audiences.
Prior experience in consulting, professional services, or a data-focused role in service-oriented industries is an advantage.

Work arrangement
No

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