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Intern, Data Science

Intern, Data Science

The HartfordChicago, IL, United States
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Student Intern - HHSIAN

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is offering an 11-week Data Science Summer Internship Program beginning in May 202 6 designed to prepare you for a challenging and rewarding Data Science career.

As a Data Scientist Intern, you will develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Additionally, you will have opportunities to network across all levels of our Data Science & Analytics community, collaborate with teammates on learning opportunities like Capstone s and Hackathon s , attend social events, and discussions with leaders via one- on-ones and panels . To accelerate your project work, we also provide on- th e - job training in insurance , AWS development environments for data science , and modeling / machine learning techniques as needed .

The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration, where you will work in an office ( CT- Hartford, NC- Charlotte or IL- Chicago ) on Tuesday, Wednesday, and Thursday with remote flexibility on Monday and Friday .

Responsibilities :

Assist in creating statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems

Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations

Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage

Participate in the creation and deployment of long-term tools to continually evolve the business

Contribute to the successful implementation of strategies to achieve targeted business objectives

Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise

Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function

Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decision s

Prepare and deliver presentations that translate data-driven insights, model results, and recommendations to varying business partners

Document work clearly to ensure effective knowledge sharing within the team

Requirements :

Must be authorized to work in the United States without sponsorship now, or in the futur e

Must be working towards a Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Act uarial Science, Data Science, Computer Science, or a similar analytical field

Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa

Able to maintain organized project notes, version history, and technical documentation for team reference

Exposure to statistical modeling, inference, and building machine learning algorithms in an analytical programming language like Python or R

Exposure to building modeling solutions in cloud-native environments, such as Sagemaker , a plus

Exposure to SQL and navigating databases to extract relevant attributes a plus

Exposure to Unix and Git a plus

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is :

Equal Opportunity Employer / Sex / Race / Color / Veterans / Disability / Sexual Orientation / Gender Identity or Expression / Religion / Age

About Us () | Our Culture () | What It's Like to Work Here () | Perks & Benefits ()

Every day, a day to do right.

Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.

Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?

That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.

And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.

About Us ()

Our Culture

What It's Like to Work Here ()

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