Form cover
Page 1 of 2

Internship - Data Scientist


CultureVo is a research-driven, product-focused company reimagining personal AI companionship. We operate at the intersection of long-term memory systems, autonomous agent behaviors, and emotionally intelligent interaction. By integrating long-term memory retrieval and autonomous task execution with deeply human-centric design, we aim to create an AI that is not just useful, but genuinely supportive and engaging in conversation.

Are you an aspiring Data Scientist looking for an opportunity to take on new challenges and advance your career?
If you are an enthusiastic techie with the ability to balance big-picture thinking with deep-dive research and attention to detail, we have the perfect job for you!
ROLE RESPONSIBILITIES
1. Develop scalable and reliable, AI solutions and reusable software components to ensure reliability and maintainability
2. Define and implement robust API and integration strategies to seamlessly connect reusable AI components with broader systems
3. Define and implement robust technical strategies in areas such as API integration to connect reusable AI components with broader systems, industrialized AI accelerators, and the delivery of scalable AI solutions
4. Demonstrate a proactive approach to identifying and resolving potential system issues
5. Foster a collaborative learning environment within the team by sharing knowledge and expertise
6. Act as a subject matter expert for solution engineering on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for software development needs
7. Direct research in areas such as data science, software development, data engineering and data pipelines, and prompt engineering, and contribute to the broader talent building framework by facilitating related trainings
8. Communicate value delivered through reusable AI components to end user functions and evangelize innovative ideas of reusable & scalable development approaches /frameworks /methodologies to enable new ways of developing AI solutions
9. Provide strategic and technical input to the AI ecosystem including platform evolution, vendor scan, and new capability development
10. Partner with AI use case development teams to ensure successful integration of reusable components into production AI solutions
11. Partner with AIDA Platforms team on end to end capability integration between enterprise platforms and internally developed reusable component accelerators (API registry, ML library / workflow management, enterprise connectors)
12. Partner with AIDA Platforms team to define best practices for reusable component architecture and engineering principles to identify and mitigate potential risks related to component performance, security, responsible AI, and resource utilisation
BASIC QUALIFICATIONS
1. Pursuant of a Bachelor’s degree in AI, data science, or computer engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)
2. Work experience in data science, analytics, or solution engineering, with a track record of building and deploying complex software systems
3. Experience in solution architecture & design
4. Experience in software/product engineering
5. Strong hands-on skills in ML engineering and data science (e.g., Python, R, SQL, industrialized ETL software)
6. Recognized by peers as an expert in data science, AI, or software engineering with deep expertise in data science or backend solution architecture, and hands-on development
7. Expert knowledge of backend technologies; familiar with containerization technologies like Docker; understanding of API design principles; experience with distributed systems and databases; proficient in writing clean, efficient, and maintainable code
8. Strong understanding of the Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP)
9. Demonstrated experience interfacing with internal and external teams to develop innovative AI and data science solutions
10. Experience working in a cloud based analytics ecosystem (AWS, Snowflake, etc)
11. Highly self-motivated to deliver both independently and with strong team collaboration
12. Ability to creatively take on new challenges and work outside comfort zone
13. Strong English communication skills (written & verbal)

Ready to build the future of personal AI with us? If you’re excited to work at the frontier of AI memory, autonomy, and emotional intelligence – all while making a positive human impact – we’d love to hear from you. Let’s create something extraordinary together at CultureVo.

Tell us a bit more about yourself

Upload your resume and cover letter

How did you hear about this job?

How did you hear about this job?

Which University are you pursuing education at?

Are you able to work for 6 months consecutively?

I'm available from