Senior Data Scientist

Company Description: Esse India – Best Immigration Consultant is a private immigration consulting firm specialising in Canada and Australia visa services. Based in Delhi, the firm supports individuals and families in navigating complex immigration processes with reliable guidance. The team focuses on delivering personalised consulting services, ensuring that clients understand requirements, timelines, and documentation. Esse India values accuracy, transparency, and a client-centric approach, creating a professional environment for data-driven decision-making. The organisation is growing and offers opportunities for professionals to contribute to improving operational efficiency and client outcomes.
Role Description: The Senior Data Scientist will work on-site in Canada in a full-time capacity, leading data-driven initiatives that support business strategy and client services. Responsibilities include collecting, cleaning, and analysing data from various internal systems to generate actionable insights related to customer behaviour, process efficiency, and service performance. The role involves building predictive models, conducting statistical analyses, and designing dashboards and reports to support leadership and operational teams in decision-making. The senior data scientist will collaborate with cross-functional stakeholders to identify analytical opportunities, define metrics, and evaluate the impact of process changes or new services. This position also includes mentoring junior team members, establishing best practices in data governance, and contributing to long-term analytics roadmaps.
Qualifications
Strong foundation in data science and statistics, with the ability to design robust models and perform advanced quantitative analysis.
Proficiency in data analytics and data analysis to interpret complex datasets, identify trends, and develop data-driven recommendations.
Experience in data visualisation, including creating clear dashboards and reports that communicate insights to non-technical stakeholders.
Hands-on experience with programming languages and tools commonly used in data science (such as Python or R, SQL, and relevant libraries or frameworks).
Understanding of machine learning techniques, model evaluation, and deployment in production environments.
Excellent problem-solving skills, attention to detail, and the ability to work collaboratively with operations, marketing, and leadership teams.
Strong communication skills, with the ability to explain technical concepts in a clear, accessible manner to diverse audiences.
Bachelor’s or master's degree in a quantitative field such as data science, statistics, computer science, mathematics, or a related discipline.
Experience in service-orientated or consulting environments, preferably in domains involving customer journeys or process optimisation, is an advantage.

Work arrangement
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