BREEGA

www.breega.com

2 Jobs

52 Employees

About the Company

At Breega, we back world-class founders for the future. We’re not simple investors - we’re entrepreneurs who’ve built, scaled, and learned what it really takes to grow. Our forte is not just writing checks: it’s rolling up our sleeves - with our Scaling Squad, our portfolio companies get hands-on expertise in hiring, sales, marketing and strategy so they don’t just expand, they dominate. We partner with outliers rewriting the rules of Digital, Climate, and Deep Tech from pre-Seed to Series A+ across Europe and Africa. Since 2015, we’ve grown to €700M AUM, with main offices in London and Paris and deep roots in the most thriving tech hubs across both continents, as well as a portfolio of 110+ bold startups—Exotec, Alice & Bob, Moneybox, 011H, etc—each pushing the boundaries of what’s possible. Certified BCorp

Listed Jobs

Company Name: BREEGA
Job Title: Data Science / Deep Learning Intern @InSpek
Job Description: Job Title: Data Science / Deep Learning Intern Role Summary: Assist R&D by developing deep learning models for Raman spectroscopy data, focusing on synthetic data generation, transfer learning, and domain adaptation to improve spectral prediction across instruments. Expectations: - 6‑month internship starting January. - Work closely with AI application team; collaborate across disciplines. - Deliver code, experiments, and documentation for deep learning pipelines. Key Responsibilities: - Design and train neural networks (PyTorch/TensorFlow) for spectral modeling. - Build augmentation, transfer learning, and domain adaptation pipelines (e.g., CORAL, MMD, adversarial learning). - Generate synthetic Raman spectra via instrument-response simulation and cross‑instrument modeling. - Explore generative models (GANs, VAEs, autoencoders) for data augmentation and latent space sampling. - Evaluate synthetic data impact on model performance and generalization. - Document methodology, results, and maintain reproducible code repositories. Required Skills: - Hands‑on deep learning experience (internship or academic project). - Proficiency in PyTorch or TensorFlow. - Familiarity with GANs, VAEs, or autoencoders. - Knowledge of transfer learning, domain adaptation, and data augmentation techniques. - Basic signal processing for 1D data; experience with spectroscopy is a plus. - Strong analytical, problem‑solving, and communication skills in English. - Self‑motivated, creative, and comfortable in a multidisciplinary environment. Required Education & Certifications: - Current enrollment or recent graduation in Data Science, Machine Learning, Deep Learning, or related field. - No specific certifications required.

Company Name: BREEGA
Job Title: VC Analyst intern @Breega London
Job Description: **Job Title:** VC Analyst Intern **Role Summary:** Support Breega’s investment team throughout the full investment lifecycle, from sourcing and pre‑qualification to due diligence and post‑investment analysis. Work across multiple technology sectors and geographies, developing sector expertise while contributing to deal‑flow optimization and internal research. **Expectations:** - Operate with high autonomy and rigor in a fast‑paced venture capital environment. - Demonstrate strong analytical capability and curiosity about technology and startups. - Communicate effectively in English and collaborate across teams and squads. **Key Responsibilities:** - Monitor media, attend ecosystem events, and identify potential start‑up investments. - Assist in pre‑qualifying inbound opportunities and preparing initial screening materials. - Conduct due‑diligence tasks including market sizing, competitive analysis, and business‑plan review. - Contribute to internal sector studies and present findings to the investment team. - Develop and improve deal‑flow tools, sourcing channels, and process efficiencies. - Support post‑investment follow‑up and portfolio monitoring as needed. **Required Skills:** - Prior experience in an operational role, entrepreneurship, or startup ecosystem. - Strong analytical and quantitative skills; ability to perform market sizing and competitive analysis. - High level of autonomy, rigor, and attention to detail. - Excellent written and verbal communication in English. - Curiosity about technology trends across fintech, insurtech, AI, marketplaces, adtech, etc. - Team‑oriented mindset with willingness to receive and give constructive feedback. **Required Education & Certifications:** - Currently enrolled in or recent graduate of a Bachelor’s or Master’s program (e.g., Business, Economics, Finance, Engineering, or related field). - No specific certifications required; relevant coursework or projects in venture capital, finance, or technology is advantageous.

London, United kingdom

Hybrid

Fresher

20-02-2026