Allstate
Data Scientist Associate Manager
Key aspects of the role:
- Drive sales growth by engaging with interested prospective customers- all while working remote
- No cold calling— Connect through inbound calls and proactive outbound calls with active insurance shoppers
- Enjoy competitive compensation with a base salary + uncapped commissions
- Sell reputable products from Allstate and our family of brands
Role overview
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
Purpose
We are looking for an ML Engineering Manager who will lead the development and integration of advanced machine learning models, including Generative and Agentic AI, into business workflows to enhance decision-making across the enterprise. This role involves project ownership from requirements gathering, strategic ideation, to design and deployment. Collaboration with cross-functional teams, and mentorship of junior data scientists is paramount. The position requires a strong foundation in data science, project management, stakeholder communication, and strategic thinking.
Purpose
We are looking for an ML Engineering Manager who will lead the development and integration of advanced machine learning models, including Generative and Agentic AI, into business workflows to enhance decision-making across the enterprise. This role involves project ownership from requirements gathering, strategic ideation, to design and deployment. Collaboration with cross-functional teams, and mentorship of junior data scientists is paramount. The position requires a strong foundation in data science, project management, stakeholder communication, and strategic thinking.
Key Responsibilities
- Collaborate with business partners and stakeholders on discovery and clarity in understanding the problem and overall strategy to inform workflows and designs
- Model Development and Integration: Design, build, and validate statistical and machine learning models to address key business problems across domains such as operations, telematics, geospatial analytics, computer vision, and NLP.
- Data Exploration and Analysis: Perform in-depth data exploration and analysis to uncover actionable insights and improve model performance.
- Stakeholder Collaboration: Collaborate with business partners and stakeholders to understand problems and strategies, ensuring solutions are adopted and scaled.
- Project Leadership: Lead and manage end-to-end data science initiatives, ensuring high-quality delivery and measurable business impact. Utilize effective project planning techniques to break down complex projects into manageable tasks.
- Mentorship and Development: Assist in the recruitment, selection, mentorship, and development of junior data scientists. Provide technical guidance and lead small technical teams as needed.
- Innovation and Continuous Improvement: Stay up to date with emerging modeling techniques, tools, and technologies, integrating innovative approaches into existing workflows.
- Communication and Influence: Develop and execute communication strategies to keep stakeholders informed and influence business partners and senior leaders on the effectiveness of machine learning solutions.
- Cross-Department Collaboration: Collaborate and influence outside business units to improve business decisions and results through machine learning models.
Must Have Skills
- Around 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 team needs guidance on MLOps
- looking forward for XP with developing models in cloud platform (ML Studio and SageMaker) – heavily indexed
- XP w/ Gen AI and Agentic – nice to have
Primary Skills
Artificial Intelligence Markup Language, Business Model Development, Data Analytics, Predictive Analytics, Predictive Modeling
Shift Time
Shift B (India)
Recruiter Info
Annapurna Jha
ajhat@allstate.com
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Sales
What We Do:
As an expert on our products and services, you can give customers personalized attention and innovative solutions to make their lives easier.
How We Support You:
Starting day one, you’ll have access to resources and incentives to keep you feeling challenged and excited about your careers.
Make An Impact:
As a member of our sales team, you’ll bring a sense of ease and support to customers looking for a better understanding of their protection options. Whether in the field or talking to customers over the phone, you’ll continue to build trust in who we are and what we do.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
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
Purpose
We are looking for an ML Engineering Manager who will lead the development and integration of advanced machine learning models, including Generative and Agentic AI, into business workflows to enhance decision-making across the enterprise. This role involves project ownership from requirements gathering, strategic ideation, to design and deployment. Collaboration with cross-functional teams, and mentorship of junior data scientists is paramount. The position requires a strong foundation in data science, project management, stakeholder communication, and strategic thinking.
Purpose
We are looking for an ML Engineering Manager who will lead the development and integration of advanced machine learning models, including Generative and Agentic AI, into business workflows to enhance decision-making across the enterprise. This role involves project ownership from requirements gathering, strategic ideation, to design and deployment. Collaboration with cross-functional teams, and mentorship of junior data scientists is paramount. The position requires a strong foundation in data science, project management, stakeholder communication, and strategic thinking.
Key Responsibilities
- Collaborate with business partners and stakeholders on discovery and clarity in understanding the problem and overall strategy to inform workflows and designs
- Model Development and Integration: Design, build, and validate statistical and machine learning models to address key business problems across domains such as operations, telematics, geospatial analytics, computer vision, and NLP.
- Data Exploration and Analysis: Perform in-depth data exploration and analysis to uncover actionable insights and improve model performance.
- Stakeholder Collaboration: Collaborate with business partners and stakeholders to understand problems and strategies, ensuring solutions are adopted and scaled.
- Project Leadership: Lead and manage end-to-end data science initiatives, ensuring high-quality delivery and measurable business impact. Utilize effective project planning techniques to break down complex projects into manageable tasks.
- Mentorship and Development: Assist in the recruitment, selection, mentorship, and development of junior data scientists. Provide technical guidance and lead small technical teams as needed.
- Innovation and Continuous Improvement: Stay up to date with emerging modeling techniques, tools, and technologies, integrating innovative approaches into existing workflows.
- Communication and Influence: Develop and execute communication strategies to keep stakeholders informed and influence business partners and senior leaders on the effectiveness of machine learning solutions.
- Cross-Department Collaboration: Collaborate and influence outside business units to improve business decisions and results through machine learning models.
Must Have Skills
- Around 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 team needs guidance on MLOps
- looking forward for XP with developing models in cloud platform (ML Studio and SageMaker) – heavily indexed
- XP w/ Gen AI and Agentic – nice to have
Primary Skills
Artificial Intelligence Markup Language, Business Model Development, Data Analytics, Predictive Analytics, Predictive Modeling
Shift Time
Shift B (India)
Recruiter Info
Annapurna Jha
ajhat@allstate.com
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Claims
What We Do:
Your ability to quickly and calmly make smart decisions can make a huge difference in how confident customers feel throughout the claims process. And as you support our customers, we’re there to support you.
How We Support You:
We empower your success starting day one. You’ll have access to everything you need to grow professionally while helping our customers get their lives back on track.
Make An Impact:
Helping customers with their claims is about learning their stories, not just processing their paperwork. You can take pride in the fact that you’re providing invaluable guidance and helping to build continued trust in our company.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
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
Purpose
We are looking for an ML Engineering Manager who will lead the development and integration of advanced machine learning models, including Generative and Agentic AI, into business workflows to enhance decision-making across the enterprise. This role involves project ownership from requirements gathering, strategic ideation, to design and deployment. Collaboration with cross-functional teams, and mentorship of junior data scientists is paramount. The position requires a strong foundation in data science, project management, stakeholder communication, and strategic thinking.
Purpose
We are looking for an ML Engineering Manager who will lead the development and integration of advanced machine learning models, including Generative and Agentic AI, into business workflows to enhance decision-making across the enterprise. This role involves project ownership from requirements gathering, strategic ideation, to design and deployment. Collaboration with cross-functional teams, and mentorship of junior data scientists is paramount. The position requires a strong foundation in data science, project management, stakeholder communication, and strategic thinking.
Key Responsibilities
- Collaborate with business partners and stakeholders on discovery and clarity in understanding the problem and overall strategy to inform workflows and designs
- Model Development and Integration: Design, build, and validate statistical and machine learning models to address key business problems across domains such as operations, telematics, geospatial analytics, computer vision, and NLP.
- Data Exploration and Analysis: Perform in-depth data exploration and analysis to uncover actionable insights and improve model performance.
- Stakeholder Collaboration: Collaborate with business partners and stakeholders to understand problems and strategies, ensuring solutions are adopted and scaled.
- Project Leadership: Lead and manage end-to-end data science initiatives, ensuring high-quality delivery and measurable business impact. Utilize effective project planning techniques to break down complex projects into manageable tasks.
- Mentorship and Development: Assist in the recruitment, selection, mentorship, and development of junior data scientists. Provide technical guidance and lead small technical teams as needed.
- Innovation and Continuous Improvement: Stay up to date with emerging modeling techniques, tools, and technologies, integrating innovative approaches into existing workflows.
- Communication and Influence: Develop and execute communication strategies to keep stakeholders informed and influence business partners and senior leaders on the effectiveness of machine learning solutions.
- Cross-Department Collaboration: Collaborate and influence outside business units to improve business decisions and results through machine learning models.
Must Have Skills
- Around 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 team needs guidance on MLOps
- looking forward for XP with developing models in cloud platform (ML Studio and SageMaker) – heavily indexed
- XP w/ Gen AI and Agentic – nice to have
Primary Skills
Artificial Intelligence Markup Language, Business Model Development, Data Analytics, Predictive Analytics, Predictive Modeling
Shift Time
Shift B (India)
Recruiter Info
Annapurna Jha
ajhat@allstate.com
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Benefits
Experience the benefits that make Allstate a great place to work.
*Benefits vary based on position.
Health
- Medical, dental and vision coverage
- HSAs and FSAs
- Wellbeing programs
- Free therapy sessions
Retirement
- 401(k) plan
- Pension plan
- Free financial counseling
Work-life balance
- Paid time off
- Work flexibility
Career development
- Talent shares
- Tuition reimbursement
- Learning opportunities
For a full description of Allstate’s benefits visit our benefits page
Start making a difference
Realize your full potential by doing
work that matters.
Grow your career in meaningful ways.
We want to make sure you have every opportunity to grow, explore new horizons and follow your passion in a meaningful career. It’s an exciting time to join Allstate. Help us shape the future.
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