Senior Data Scientist For (Canada & Australia)

Company Description Esse India is a Delhi-based consultancy specializing in Canada immigration and visa advisory services at a competitive price point. The organizations expert team is well-versed in current immigration rules and regulations, helping clients navigate complex visa processes with confidence. Esse India focuses on delivering trusted, high-value services that align with clients expectations and investment. Since its establishment, the firm has maintained a strong record of client satisfaction, emphasizing reliability, transparency, and personalized support throughout the immigration journey.

Role Description The Senior Data Scientist (Canada & Australia) will be a full-time, on-site role based in Canada & Australia. This position involves designing and implementing data-driven models to support immigration consulting services for Canada and Australia, including predicting visa outcomes, optimizing client eligibility assessments, and improving operational efficiency. The role includes collecting, cleaning, and analyzing structured and unstructured data from multiple internal and external sources, and building dashboards and visualizations for leadership and consulting teams. The Senior Data Scientist will collaborate with consultants and management to translate business requirements into analytics solutions, run experiments and A/B tests, and present clear, actionable insights. The individual will also mentor junior team members, establish best practices for data governance, and contribute to continuous improvement of analytics tools and methodologies.

Qualifications

• Strong foundation in Data Science and Statistics, with the ability to design robust models and experiments.
• Proficiency in Data Analytics and Data Analysis for generating insights, forecasts, and performance metrics.
• Experience in Data Visualization using modern tools to create clear, compelling dashboards and reports.
• Advanced skills in programming languages commonly used in data science (e.g., Python, R, SQL).
• Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) is highly beneficial.
• Knowledge of cloud or analytics platforms (e.g., AWS, GCP, Azure, Power BI, Tableau) is an advantage.
• Demonstrated ability to communicate complex analytical concepts in accessible language to non-technical stakeholders.
• Masters or higher degree in Data Science, Statistics, Computer Science, Mathematics, or a related field, or equivalent practical experience.
• Prior experience in consulting, professional services, or a highly regulated domain is preferred.
• Strong problem-solving mindset, attention to detail, and ability to work collaboratively in an on-site team environment.