
201 - 500 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
💸 Finance
💰 $50M Venture Round - Clarity AI on 2021-12
Artificial Intelligence • SaaS • Finance
<company_name> is an AI-native platform providing extra-financial intelligence to financial institutions, corporations, governments, and retail platforms. It combines proprietary data collection, AI-powered processing, and expert validation to deliver transparent, explainable ESG, climate, risk, and impact insights at scale. Clarity AI offers modular SaaS products, APIs, datafeeds, and custom solutions for portfolio management, risk and compliance, reporting, and impact investing.
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201 - 500 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
💸 Finance
💰 $50M Venture Round - Clarity AI on 2021-12
Artificial Intelligence • SaaS • Finance
<company_name> is an AI-native platform providing extra-financial intelligence to financial institutions, corporations, governments, and retail platforms. It combines proprietary data collection, AI-powered processing, and expert validation to deliver transparent, explainable ESG, climate, risk, and impact insights at scale. Clarity AI offers modular SaaS products, APIs, datafeeds, and custom solutions for portfolio management, risk and compliance, reporting, and impact investing.
• Monitoring and maintaining machine learning and other data science products already in production. • Building end-to-end machine learning models, Large Language Models (LLMs), and agent systems that deliver transparent, accurate sustainability data to our customers. • Analyzing complex data sets autonomously • Participating in the development of proofs of concept • Keeping always an eye on the business needs & opportunities. • Communicating with a diverse set of stakeholders with different backgrounds
• 2 years of experience working in Data Science products or PhD in ML / Applied Math / Quantitative Research / Statistics / Computer Science … or any related field. • High level in the Python data science ecosystem (Pandas, Matplotlib, Scikit-Learn, …) • At least well acquainted with working in collaborative code bases (Git) and production code (beyond notebooks) • Solid software engineering fundamentals (testing, code review, design, performance). • Experience with LLM/Agent prompt/retrieval design, vector databases, tool use/agents, evaluation and safety/guardrails. • You care about sustainability and impact • You are willing to learn and share your own learnings • You are transparent and care about communicating effectively and constructively • Highly motivated, independent and deeply passionate about making an impact with data & science • Excellent oral and written English communication skills (minimum C1 level-proficient user)
• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success • Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces • Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days • Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses • Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms • Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups
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