Solaria Labs Data Science Co-op
Join Solaria Labs as a Data Science Co-op to collaborate on AI/ML innovations in insurance using Liberty Mutual and partner data. Your Role Here’s what you will be doing: • Collaborate within an innovative lab environment balancing coding, ideation, and product design. • Explore and experiment with AI and Machine Learning technologies including generative AI, NLP/NLU, and computer vision. • Develop and iterate on prototypes using Python in a fast-paced R&D setting with a start-up mentality. • Build custom algorithms, uncover data-driven insights, and share findings with team and stakeholders. • Continuously sharpen skills by embracing new technologies and participating in hackathons, meetups, and learning opportunities. About You The company is looking for: • Passion for technology, innovation, and collaborative problem-solving. • Curiosity and proactivity in exploring new AI/ML trends and tools. • Excitement to contribute ideas that may shape real products. • Eagerness to impact through hands-on prototyping, algorithm development, and data analysis. • Currently working towards a Bachelor's, Master's, or PhD in Data Science, Engineering, Computer Science, Mathematics, Statistics, or related field. • Preferred cumulative GPA of 3.0 or higher. • Availability to work full-time from January to June 2026 in Boston, MA. Compensation & Benefits • Hourly wage range: $32.00 to $36.00. • Flexible time off with 15 days annual accrual. • Competitive compensation with potential for variable incentive pay. • Flexible work arrangements including regular hours and flex scheduling. • Top-notch retirement plans: pension plan with 5% monthly credit and 401(k) with guaranteed match up to 8% of eligible pay. • Comprehensive health, dental, and vision coverage plus other insurance and wellness benefits. • Progressive parental benefits and support. • Commitment to diversity, equity, and inclusion. Training & Development • Opportunities for continuous learning through hackathons, meetups, paid training, licensing, and tuition reimbursement for approved courses. • Regular coaching and career planning support. Career Progression • Opportunities to progress and develop within the role as skills and experience grow. How to Apply • Submit your application through the provided link, ensuring all required information is included. This job may close before the stated closing date, you are encouraged to apply as soon as possible. Report this job