Data Science Engineer

Rubiscape; Pune District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Rubiscape is seeking a Data Science Engineer to bridge data science rigour with software engineering, turning complex analyses into scalable platform artefacts. You will partner with domain experts across BFSI, manufacturing, and healthcare to solve high-value problems and ensure solutions move from notebook to production within a 90-day deployment window.

You will impact enterprise customers by delivering faster pipelines and reducing decision latency, while mentoring analysts and contributing

Qualifications

• 3+ years in a data science or analytical engineering role delivering models to production in enterprise environments.
• Expert-level Python for data analysis: pandas, NumPy, scipy, statsmodels, and scikit-learn; confident with SQL across large analytical datasets.
• Strong grounding in statistical inference, experimental design, and the ability to distinguish signal from noise in messy enterprise data.
• Experience with domain-specific modelling areas: fraud/risk scoring, demand forecasting, churn prediction, anomaly detection, or survival analysis.
• Familiarity with ML experiment tracking (MLflow or equivalent) and a structured approach to documenting model assumptions and limitations.
• Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.

Responsibilities

• Frame ambiguous business problems as precise analytical questions, define success metrics, and design experiments that produce statistically defensible results.
• Build end-to-end data science solutions — from EDA and feature engineering through model selection, validation, and production packaging — using Python, pandas, and scikit-learn.
• Develop domain-adapted models for Rubiscape’s core industry verticals: credit risk and fraud detection (BFSI), predictive maintenance (manufacturing), and patient outcome modelling (healthcare).
• Collaborate with data engineers on RubiFlow to translate ad-hoc analytical pipelines into governed, scheduled, and monitored production pipelines.
• Create explainability artefacts (SHAP, LIME, integrated gradients) for models deployed in regulated environments, and document model cards for the RubiStudio registry.
• Drive structured A/B and champion-challenger experiments to validate model improvements before full rollout, integrating with RubiSight for result visualisation.
• Mentor junior analysts and contribute to Rubiscape’s Industry-Academia COE programme by translating research papers into practical platform capabilities.

Skills

Statistical inference

Experimental design

Data analysis

Signal vs noise

Education

Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, or related field

Tools

Python

pandas

NumPy

scikit-learn

scipy

statsmodels

MLflow

SQL

Job description

Rubiscape’s Data Science Engineer sits atthe productive boundary between data science rigour and software engineeringdiscipline — translating complex analytical findings into robust, repeatable,and scalable artefacts embedded in the platform. You will partner with domainexperts across BFSI, manufacturing, and healthcare to solve high-value decisionproblems using statistical modelling, machine learning, and causal inference,then ensure those solutions graduate from notebook to production within our 90-daydeployment promise. This role contributes directly to Rubiscape’s track recordof delivering 3× faster pipelines and 40% reduction in decision latency forenterprise customers.

Key Responsibilities

• Frameambiguous business problems as precise analytical questions, define successmetrics, and design experiments that produce statistically defensible results.
• Buildend-to-end data science solutions — from exploratory data analysis and featureengineering through model selection, validation, and production packaging —using Python, pandas, and scikit-learn.
• Developdomain-adapted models for Rubiscape’s core industry verticals: credit risk andfraud detection (BFSI), predictive maintenance (manufacturing), and patientoutcome modelling (healthcare).
• Collaboratewith data engineers on RubiFlow to translate ad-hoc analytical pipelines intogoverned, scheduled, and monitored production pipelines.
• Createexplainability artefacts (SHAP, LIME, integrated gradients) for models deployedin regulated environments, and document model cards for the RubiStudioregistry.
• Drivestructured A/B and champion-challenger experiments to validate modelimprovements before full rollout, integrating with RubiSight for resultvisualisation.
• Mentorjunior analysts and contribute to Rubiscape’s Industry-Academia COE programmeby translating research papers into practical platform capabilities.

Requirements

• 3+ yearsin a data science or analytical engineering role delivering models toproduction in enterprise environments.
• Expert-levelPython for data analysis: pandas, NumPy, scipy, statsmodels, and scikit-learn;confident with SQL across large analytical datasets.
• Stronggrounding in statistical inference, experimental design, and the ability todistinguish signal from noise in messy enterprise data.
• Experiencewith at least one domain-specific modelling area: fraud/risk scoring, demandforecasting, churn prediction, anomaly detection, or survival analysis.
• Familiaritywith ML experiment tracking (MLflow or equivalent) and a structured approach todocumenting model assumptions and limitations.
• Bachelor’sor Master’s degree in Statistics, Mathematics, Economics, Computer Science, ora related quantitative field.

Nice to Have

• Experienceapplying causal inference methods (DiD, IV, propensity score matching) toevaluate business interventions in enterprise settings.
• Exposureto time-series forecasting at enterprise scale using Prophet, NeuralProphet, ordeep learning architectures (N-BEATS, TFT).
• Familiaritywith Bayesian modelling frameworks (PyMC, Stan) for uncertainty quantificationin regulated decision contexts.
• Publishedcase studies or conference presentations on applied data science in BFSI,manufacturing, or healthcare.

About Rubiscape

Rubiscape is India’s leading DecisionIntelligence Platform, unifying data engineering, BI, machine learning, andagentic AI in a single governed platform. Built in Pune and trusted by Fortune500 enterprises across BFSI, manufacturing, healthcare, and government. 8international innovation patents. 10 Industry-Academia Labs & COEs. From BIto AI — One Platform. Every Decision.