Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
About the role
- Product Manager driving Meltwater’s next-generation AI enrichment capabilities. Collaborating closely with product leads and data scientists to translate developments into customer value.
Responsibilities
- Help define and prioritize enrichment improvements based on product strategy and customer impact
- Translate model capabilities into product value by understanding where enrichment quality matters most in customer workflows
- Collaborate with Data Scientists to turn experiments and research findings into clear product iteration plans
- Monitor quality and usage: Design and maintain dashboards and evaluation frameworks that track performance, adoption, and impact
- Support rollouts and internal understanding through clear documentation, release notes, and internal enablement for teams that rely on enrichment outputs
Requirements
- 4+ years of experience in Product, Data, or Applied ML/NLP roles working with structured data or enrichment models
- Strong customer-centric mindset: You care how models perform in real workflows, not just in benchmark tests
- Ability to turn complexity into clarity: You can turn abstract or technical concepts into clear product decisions and requirements
- Collaboration & coordination strengths: You work effectively across Data Science, Engineering, and customer-facing Product Managers - aligning priorities and enabling others to build value on top of the platform
- Awareness of the evolving AI landscape: You stay informed about LLMs and enrichment techniques and can distinguish practical value from hype
- Analytical and evaluation fluency: You are comfortable evaluating model performance and making trade-offs on quality, coverage, and scalability
- Clear communication and narrative framing: You can explain why improvements matter, not just how they work, to stakeholders across product, GTM, and engineering
- Nice to Have Experience with NLP tasks like sentiment, entity extraction, or classification
- Exposure to LLM evaluation or prompt design
- Experience working with multilingual datasets
- Familiarity with media intelligence, social listening, or analytics platforms
Benefits
- Enjoy flexible paid time off options for enhanced work-life balance
- Meltwater demonstrates a commitment to your well-being by contributing towards Discovery Health, ensuring robust healthcare coverage
- Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters
- Energetic work environment with a hybrid work style, providing the balance you need
- Benefit from our family leave program, which grows with your tenure at Meltwater
- Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross - functional teams to architect scalable machine learning solutions in cloud environments.
Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.
Data Scientist II using data science techniques for actionable insights. Working with cross - functional teams to resolve data issues and innovate analytical solutions.
Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.