Data Scientist (finance & Accounting / Forecasting)
Jensen Hughes
Mumbai, India
Remote
Statistical techniques
Predictive models
Time series models
The ideal candidate will leverage data science techniques to develop predictive models, generate insights, and support strategic decision-making, particularly in revenue forecasting and financial analytics
Job Summary
The ideal candidate will leverage data science techniques to develop predictive models, generate insights, and support strategic decision-making, particularly in revenue forecasting and financial analytics.
Apply statistical techniques (regression, distribution analysis, hypothesis testing) to derive insights from data and create advanced algorithms and statistical models such simulation, scenario analysis, and clustering.
Build strong collaborative relationships with stakeholders across departments to drive data-informed decision-making while also helping in the identification of opportunities for leveraging data to generate business insights.
Matching Summary
The ideal candidate will leverage data science techniques to develop predictive models, generate insights, and support strategic decision-making, particularly in revenue forecasting and financial analytics.
Skills & Requirements
Must-have
statistical techniques
predictive models
time series models
Python programming
SQL and relational databases
version control systems
Nice-to-have
supportive and diverse team
fast-paced environment
career development programs
Key Requirements
3+ years of relevant experience
Bachelor’s or Master’s degree
Familiarity with Jira
Experience with cloud platforms (DataBricks or AWS)