At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

Job Description Summary
This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also begin to manage projects of small to medium complexity.

Purpose

We are looking for a Data Scientist who will lead the application of machine learning and advanced analytics to solve complex business problems. The ideal candidate will bring a strong mix of technical expertise, business acumen, and a passion for solving high-impact problems. This role involves developing machine learning models, integrating new internal and external data sources, and delivering solutions that enhance decision-making across the enterprise. Projects may span domains such as telematics, aerial imagery, and natural language processing (NLP). The role also requires project ownership from design to deployment and collaboration with cross-functional teams to translate insights into action.

Key Responsibilities

• Design, build, and validate statistical and machine learning models that address key business problems.
• Perform in-depth data exploration and analysis to uncover actionable insights and improve model performance.
• Communicate analytical findings clearly and effectively to technical and non-technical stakeholders; collaborate with business and technology teams to ensure solutions are adopted and scaled.
• Stay up to date with emerging modeling techniques, tools, and technologies, and integrate innovative approaches into existing workflows where appropriate.
• Lead and manage end-to-end data science initiatives, ensuring high-quality delivery and measurable business impact.
• Contribute to project planning by breaking down complex data science projects into manageable components and aligning deliverables with business timelines.
• Provide mentorship and technical guidance to junior team members and lead small technical teams as needed.

Must Have Skills

• 4 to 8 years of experience in applied data science, with a track record of delivering business value through machine learning solutions.
• Proficiency in Python with experience in libraries such as scikit-learn, pandas, NumPy, and TensorFlow or PyTorch.
• Strong foundation in statistical analysis, regression modeling, classification techniques, clustering, time series forecasting, hypothesis testing, and multivariate analysis.
• Hands-on experience building and deploying machine learning models in cloud environments (e.g., AWS, Azure, or GCP), with strong understanding of MLOps practices such as model versioning, CI/CD pipelines, monitoring, and automated retraining workflows.
• Experience working with large-scale structured and unstructured datasets using distributed data systems such as Hadoop, Hive, or Spark.
• Ability to translate complex, ambiguous business problems into structured data science problems and articulate solution approaches clearly.
• Excellent communication, storytelling, and stakeholder management skills.
• Strong analytical and problem-solving mindset with a bias for action.
• Innovation-oriented and proactive in identifying new opportunities for data-driven decision-making.
• Experience working in Agile or Scrum-based project environments.

Preferred Skills

• Experience with Large Language Models (LLMs) and transformer architectures (e.g., GPT, BERT), including prompt engineering or fine-tuning for enterprise use cases.
• Experience with production-grade ML platforms (e.g., MLflow, Vertex AI, SageMaker) and orchestration tools (e.g., Airflow, Kubeflow) to operationalize models at scale

Primary Skills

Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management

Shift Time

Shift B (India)

Recruiter Info

Annapurna Jha

[email protected]

About Allstate

The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.

Learn more about Allstate India here.