A Senior Data Scientist will build and maintain models and pipelines for discounting decisions, working end to end from data exploration to production deployment while shaping the use of agentic AI.
Responsibilities
Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production.
Design, deploy, and operate machine learning models and pipelines in production on GCP (Vertex AI), with responsibility for evaluation, monitoring, and continuous improvement
Apply statistical methods, machine learning, and advanced analytics to support product and business decisions.
Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long-term maintainability.
Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements.
Requirements
Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field
Executes independent second line of defense model validation activities for high risk in-house and vendor models.
Compensation
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Responsibilities
Executes independent second line of defense model validation activities for high risk in-house and vendor models.
Leverages expert technical approaches to develop and execute validation testing plans.
Replicates model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques.
Conducts and develops plans for model testing and data quality assessments for models using various types of datasets including those leveraging large datasets and unstructured datasets.
Reviews at an extensive experience level the end-to-end life-cycle management of model development, implementation, ongoing monitoring, and use in areas of Banking and Insurance (Property & Casualty and Life).
Requirements
Economics
Mathematics
Statistics
Actuarial Science
Data Science
Skills
Machine Learning Engineer - Risk Scoring & Model Monitoring
Seeking a Data Scientist with a strong engineering background to design, build, train, and operationalize machine learning models that deliver measurable business impact. The role involves end-to-end work across feature engineering, model training, inference, and post-processing using cloud-native ML platforms on GCP and Kubernetes.
Locations (2)
Kochi, Kerala, India
Trivandrum, Kerala, India
Responsibilities
Develop, train, and validate machine learning models using Python.
Perform feature engineering, exploratory data analysis, and model evaluation.
Apply appropriate ML techniques for prediction, classification, or optimization use cases.
Use Argo Workflows on Kubernetes to orchestrate model inference and post-processing pipelines.
Design repeatable, automated workflows for ML experiments and production inference.
Requirements
Nice to have: Real-time or batch inference systems
Lead AI/ML and operations research initiatives to optimize logistics and delivery processes for Allegro’s e‑commerce platform.
Compensation
PLN 14 600 - 20 825
Responsibilities
Create complex data models using machine learning, deep learning, time series forecasting, and survival models
Apply mathematical optimization techniques such as MILP and OR‑Tools to solve logistics problems
Design, develop, and maintain core AI/ML systems in production environments
Process, automate, and analyze large datasets using Python and advanced SQL
Collaborate with engineering teams to ensure availability, integrity, accuracy, and scalability of ML pipelines
Requirements
Bachelor's or higher degree in Data Science, Mathematics, Physics, Econometrics, Computer Science, Engineering, Logistics, or a related quantitative field
Build and maintain AI/ML systems for logistics optimization at Allegro.
Compensation
PLN 14 600 - 20 825
Annual bonus based on your annual performance and company results.
Responsibilities
Data Modeling & Analysis
Operations Research & Optimization
AI System Development & Innovation
Data Processing & Automation
Data Management & Pipeline Reliability
Requirements
Graduated with a degree strongly related to quantitative methods or statistical & mathematical modeling, such as Data Science, Mathematics, Physics, Econometrics, Computer Science, Engineering, Logistics, or a similar major.
Nice to have: Airflow
Nice to have: Google Cloud Composer
Nice to have: Gemini Enterprise Agent Platform (Vertex AI)
We are hiring a hands-on Data Scientist with 4–6 years of experience building and shipping classical machine-learning models on enterprise business data. The role sits in a central AI team at an enterprise client that serves the whole business.
Responsibilities
Pick up problems from any function as the business needs them and frame them as supervised-learning tasks — e.g. deal win/loss and churn classification, price and margin prediction, demand and revenue forecasting, lead scoring and customer segmentation for marketing, supplier risk and spend classification in procurement, attrition prediction in HR, anomaly detection in operations.
Build, tune and validate models end to end: feature engineering, model selection, cross-validation, hyperparameter tuning, calibration and error analysis.
Work with structured enterprise data from CRM, ERP, product master and finance systems — profiling, cleaning, joining and resolving data-quality gaps before modelling.
Run exploratory analysis and statistical tests (hypothesis testing, A/B analysis, causal reasoning) to back recommendations with evidence.
Explain model behaviour to business stakeholders using interpretability techniques (SHAP, feature importance, partial dependence) and plain-language insight.
Requirements
statistics
mathematics
computer science
engineering
economics
Skills
AI/ML Computational Science Specialist
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 3, 2026
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