Allstate
Software Engineer Senior Consultant I
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
We are seeking an experienced Mid-Senior Data Scientist for the development of data-driven solutions aimed at identifying and capitalizing on critical business opportunities. You will design and implement predictive models, integrate internal and external data sources, and recommend machine learning strategies that enhance decision-making. This role requires hands-on expertise in model development, strategic collaboration with cross-functional teams, and mentoring junior data scientists. You will contribute to shaping the department’s strategy and manage complex projects with a focus on delivering high-impact results.
Key Responsibilities:
-
Develop and implement advanced statistical and machine learning models to address business challenges and improve decision accuracy.
-
Communicate findings and model insights effectively to stakeholders, ensuring alignment with business processes and objectives.
-
Innovate and recommend new modeling techniques, tools, and approaches to enhance project outcomes.
-
Collaborate with business teams to design and execute machine learning solutions that drive business value and improve overall decision-making.
-
Identify opportunities for integrating new data sources, both internal and external, to enhance model performance and business outcomes.
-
Develop and manage complex analytical projects, ensuring timely delivery while maintaining high-quality standards.
-
Mentor junior data scientists, fostering a collaborative and growth-oriented team environment.
-
Guide the strategy for machine learning and predictive modeling within the department, ensuring continuous improvement in data-driven decision-making.
Qualifications:
-
Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering) or equivalent experience.
-
5–9 years of experience in data science, analytics, or quantitative modeling.
-
Expertise in predictive modeling, machine learning, and statistical techniques such as clustering, classification, and regression.
-
Proficiency in Python and SQL, with a strong understanding of data manipulation and analysis tools.
-
Familiarity with a range of machine learning libraries and frameworks such as NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and others listed below.
-
Experience with big data tools and techniques (e.g., PySpark, Dask, Vaex, Apache Airflow) is a plus.
-
Strong project management skills and ability to break down complex tasks into manageable steps, ensuring timely project delivery.
-
Proven ability to work collaboratively and influence business partners at all levels.
Key Tools and Libraries:
-
NumPy, Pandas, SciPy: Scientific computing, data analysis, and modeling.
-
scikit-learn, XGBoost, LightGBM, CatBoost: Predictive modeling, classification, regression, and large datasets.
-
TensorFlow, Keras, PyTorch: Deep learning, neural networks, distributed training.
-
Plotly, Matplotlib, Seaborn, Altair: Data visualization, interactive dashboards, statistical plots.
-
PySpark, Dask, Vaex: Big data processing and real-time data handling.
-
Apache Airflow, PyCaret: Machine learning automation, pipeline scheduling.
-
SpaCy, Hugging Face Transformers: Natural language processing and text analysis.
Why Join Allstate?
-
Be a key driver of data-centric business decisions and shape the future of our data science initiatives.
-
Work in a collaborative environment with opportunities to mentor and grow within the team.
-
Access to cutting-edge tools and technologies in a fast-paced, innovative Protection company.
-
Well respected work life balance.
Skills
Compensation
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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 our employees, too.
As part of our team, we want you to love where you work, and that starts by giving you the freedom to be yourself. Our workplace flexibility and focus on inclusion creates an environment where you can connect and belong. Our goal is for you to feel trusted, heard and empowered to express yourself. When you thrive, we all thrive. And this year, we’re proud to share that we’ve been recognized by Forbes as one of America’s Best Employers For Diversity, and one of America’s Best Large Employers.
When you join us, you’ll have the opportunity to push your skills to the next level each day. Our dedication to continuous learning ensures that you have access to development programs designed to propel your career forward. As you learn and grow, so do we.
Working here also means getting the chance to do meaningful work and 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.
Good Hands. Greater 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
We are seeking an experienced Mid-Senior Data Scientist for the development of data-driven solutions aimed at identifying and capitalizing on critical business opportunities. You will design and implement predictive models, integrate internal and external data sources, and recommend machine learning strategies that enhance decision-making. This role requires hands-on expertise in model development, strategic collaboration with cross-functional teams, and mentoring junior data scientists. You will contribute to shaping the department’s strategy and manage complex projects with a focus on delivering high-impact results.
Key Responsibilities:
-
Develop and implement advanced statistical and machine learning models to address business challenges and improve decision accuracy.
-
Communicate findings and model insights effectively to stakeholders, ensuring alignment with business processes and objectives.
-
Innovate and recommend new modeling techniques, tools, and approaches to enhance project outcomes.
-
Collaborate with business teams to design and execute machine learning solutions that drive business value and improve overall decision-making.
-
Identify opportunities for integrating new data sources, both internal and external, to enhance model performance and business outcomes.
-
Develop and manage complex analytical projects, ensuring timely delivery while maintaining high-quality standards.
-
Mentor junior data scientists, fostering a collaborative and growth-oriented team environment.
-
Guide the strategy for machine learning and predictive modeling within the department, ensuring continuous improvement in data-driven decision-making.
Qualifications:
-
Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering) or equivalent experience.
-
5–9 years of experience in data science, analytics, or quantitative modeling.
-
Expertise in predictive modeling, machine learning, and statistical techniques such as clustering, classification, and regression.
-
Proficiency in Python and SQL, with a strong understanding of data manipulation and analysis tools.
-
Familiarity with a range of machine learning libraries and frameworks such as NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and others listed below.
-
Experience with big data tools and techniques (e.g., PySpark, Dask, Vaex, Apache Airflow) is a plus.
-
Strong project management skills and ability to break down complex tasks into manageable steps, ensuring timely project delivery.
-
Proven ability to work collaboratively and influence business partners at all levels.
Key Tools and Libraries:
-
NumPy, Pandas, SciPy: Scientific computing, data analysis, and modeling.
-
scikit-learn, XGBoost, LightGBM, CatBoost: Predictive modeling, classification, regression, and large datasets.
-
TensorFlow, Keras, PyTorch: Deep learning, neural networks, distributed training.
-
Plotly, Matplotlib, Seaborn, Altair: Data visualization, interactive dashboards, statistical plots.
-
PySpark, Dask, Vaex: Big data processing and real-time data handling.
-
Apache Airflow, PyCaret: Machine learning automation, pipeline scheduling.
-
SpaCy, Hugging Face Transformers: Natural language processing and text analysis.
Why Join Allstate?
-
Be a key driver of data-centric business decisions and shape the future of our data science initiatives.
-
Work in a collaborative environment with opportunities to mentor and grow within the team.
-
Access to cutting-edge tools and technologies in a fast-paced, innovative Protection company.
-
Well respected work life balance.
Skills
Compensation
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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 our employees, too.
As part of our team, we want you to love where you work, and that starts by giving you the freedom to be yourself. Our workplace flexibility and focus on inclusion creates an environment where you can connect and belong. Our goal is for you to feel trusted, heard and empowered to express yourself. When you thrive, we all thrive. And this year, we’re proud to share that we’ve been recognized by Forbes as one of America’s Best Employers For Diversity, and one of America’s Best Large Employers.
When you join us, you’ll have the opportunity to push your skills to the next level each day. Our dedication to continuous learning ensures that you have access to development programs designed to propel your career forward. As you learn and grow, so do we.
Working here also means getting the chance to do meaningful work and 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.
Good Hands. Greater 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
We are seeking an experienced Mid-Senior Data Scientist for the development of data-driven solutions aimed at identifying and capitalizing on critical business opportunities. You will design and implement predictive models, integrate internal and external data sources, and recommend machine learning strategies that enhance decision-making. This role requires hands-on expertise in model development, strategic collaboration with cross-functional teams, and mentoring junior data scientists. You will contribute to shaping the department’s strategy and manage complex projects with a focus on delivering high-impact results.
Key Responsibilities:
-
Develop and implement advanced statistical and machine learning models to address business challenges and improve decision accuracy.
-
Communicate findings and model insights effectively to stakeholders, ensuring alignment with business processes and objectives.
-
Innovate and recommend new modeling techniques, tools, and approaches to enhance project outcomes.
-
Collaborate with business teams to design and execute machine learning solutions that drive business value and improve overall decision-making.
-
Identify opportunities for integrating new data sources, both internal and external, to enhance model performance and business outcomes.
-
Develop and manage complex analytical projects, ensuring timely delivery while maintaining high-quality standards.
-
Mentor junior data scientists, fostering a collaborative and growth-oriented team environment.
-
Guide the strategy for machine learning and predictive modeling within the department, ensuring continuous improvement in data-driven decision-making.
Qualifications:
-
Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering) or equivalent experience.
-
5–9 years of experience in data science, analytics, or quantitative modeling.
-
Expertise in predictive modeling, machine learning, and statistical techniques such as clustering, classification, and regression.
-
Proficiency in Python and SQL, with a strong understanding of data manipulation and analysis tools.
-
Familiarity with a range of machine learning libraries and frameworks such as NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and others listed below.
-
Experience with big data tools and techniques (e.g., PySpark, Dask, Vaex, Apache Airflow) is a plus.
-
Strong project management skills and ability to break down complex tasks into manageable steps, ensuring timely project delivery.
-
Proven ability to work collaboratively and influence business partners at all levels.
Key Tools and Libraries:
-
NumPy, Pandas, SciPy: Scientific computing, data analysis, and modeling.
-
scikit-learn, XGBoost, LightGBM, CatBoost: Predictive modeling, classification, regression, and large datasets.
-
TensorFlow, Keras, PyTorch: Deep learning, neural networks, distributed training.
-
Plotly, Matplotlib, Seaborn, Altair: Data visualization, interactive dashboards, statistical plots.
-
PySpark, Dask, Vaex: Big data processing and real-time data handling.
-
Apache Airflow, PyCaret: Machine learning automation, pipeline scheduling.
-
SpaCy, Hugging Face Transformers: Natural language processing and text analysis.
Why Join Allstate?
-
Be a key driver of data-centric business decisions and shape the future of our data science initiatives.
-
Work in a collaborative environment with opportunities to mentor and grow within the team.
-
Access to cutting-edge tools and technologies in a fast-paced, innovative Protection company.
-
Well respected work life balance.
Skills
Compensation
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
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 our employees, too.
As part of our team, we want you to love where you work, and that starts by giving you the freedom to be yourself. Our workplace flexibility and focus on inclusion creates an environment where you can connect and belong. Our goal is for you to feel trusted, heard and empowered to express yourself. When you thrive, we all thrive. And this year, we’re proud to share that we’ve been recognized by Forbes as one of America’s Best Employers For Diversity, and one of America’s Best Large Employers.
When you join us, you’ll have the opportunity to push your skills to the next level each day. Our dedication to continuous learning ensures that you have access to development programs designed to propel your career forward. As you learn and grow, so do we.
Working here also means getting the chance to do meaningful work and 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.
Good Hands. Greater Together.SM
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.
Ryan D. / 6 years with Allstate
Sales Market Leader
October 2020 – Present
Anthony N. / 9 years with Allstate
Market Sales Associate Manager
February 2024 – Present
Michael K. / 23 years with Allstate
Property Delivery Director
2023 – Present/Remote
Bree M. / 8 years with Allstate
Unrepresented Bodily Injury Adjuster
December 2022 – Present
Rie T. / 9 years with Allstate
Unrepresented Severe/Complex Adjuster – Casualty 100
2023 – Present
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I’m proud of building Allstate’s first Bilingual Unlicensed Service team during my first assignment as a leader. It’s an exciting opportunity for our employees and to better serve our Spanish-speaking customers.
Xiomara
Employee Engagement Leader
Joe W.
Commercial Senior Claims Service Adjuster
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Everyone is encouraged to volunteer and give back however they can throughout the year. I enjoy giving back to the community and supporting the causes that are meaningful to me.
Lisa
Senior Lead Internal Auditor
