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Senior Data Scientist at DMI Finance Private Limited — Delhi

Experience4–5 yrs
SalaryNot disclosed
Work modeonsite
Posted29 Sept 2026

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About DMI Finance Private Limited

DMI Finance Private Limited is hiring in Delhi in financial services. This role looks for around 4+ years of experience.

Skills

Python
SQL
PySpark
Machine learning
Statistics
Data visualization
Exploratory data analysis
Model validation
Algorithm optimization
Statistical inference
Regression analysis

The role

A data scientist at a financial services company develops and validates machine learning models for production, using Python and SQL. The role applies statistical inference, data visualization, and cloud deployment to solve business problems and guide product decisions.

Full job description

As a Senior Data Scientist, you are expected to break the business problem into a data science problem with clear demarcation of what we have, what we need and what needs to be done to ensure the business problem is solved with an optimal analytical model.

1. Visualizing the scope of the project end to endIdentify the expected outcomeFigure out the data present and required for successful completion of the projectDefining the scope and effort needed for project executionDevising monitoring frameworks

2. Stakeholder managementYou should be able to communicate with business stakeholders proactively to find out their pain points and propose a data backed solution to themShould be able to formulate the complete steps to execution of the project with clarity on timelinesShould be good with data storytelling to ensure analytical models are easy to consume for different business functions

3. Data standardization and integrity effortsEnsuring we keep sanitizing our data sources and keep raising flags to functions who own these data sources for data issuesEnsure checks and reporting engines are in place to pick up anomalies in data pipeline

4. Project management Ensure timely closure of projects on or before committed timelinesStep by step monitoring of Projects from whiteboarding to deploymentEnsure model monitoring and communication around unusual spikes (if any)

5. MentoringMentoring junior resources on their projectsYou must bring your industry experience into the project to ensure junior resources are able to correlate their work with business impact

1. SKILLS AND KNOWLEDGEProficiency in Python/RPyspark and cloud tech exposure is a plusExpertise in SQL queryingProduct and model deployment on cloud platforms like GCP/AWS

Educational Qualifications QualificationsQualifications preferred: PhD/Masters/Bachelors in Statistics, Engineering, Economics, Machine learning, Computer science, IT etc.Work ExperienceProven experience of 4+ year of relevant experienceOther skills – Data Interpretation, Visualization, ProgrammingKnowledge of underlying mathematical foundations of statistics, ML and analyticsExperience in EDA, model development and validationExperience in building and evaluating algorithms and optimizing the ML models in productionExperience in productionizing algorithms for real – time systemsExperience in influencing product and sourcing strategies with data centric presentationsExperiencing with statistics for statistical inferences, testing strategies, evaluating regression problems