What You’ll Need: -
Knowledge of underlying mathematical fundamentals in statistics, machine learning, and analytics.
- Experience with exploratory data analysis, statistical analysis and hypotheses testing, and model development.
- Fluency in Neo4j and ability to write efficient code at scale with large datasets.


What You’ll Do:
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.
- Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation.

Basic:
-3-5+ years of experience in Neo4j and has certification / certified
- Degree in Statistics, Economics, Computer Science or another quantitative field.
- Demonstrated excellence in a relevant AI/ML discipline (CV, NLP, ASR, etc.), including experience with ML model building with libraries such as Tensorflow, PyTorch, and OpenAI
- Knowledge of fundamentals of machine learning, such as algorithm families (regression, classification, unsupervised), AB testing, hypothesis testing, and optimization Preferred:
- Experience with human-in-the-loop ML, active learning, and data labelling Experience with knowledge graphs and graph databases (e.g.,Neo4j, triplestores, ontologies, taxonomies)
- Strong communication skills, for example, demonstrated through documentation and presentations. Able to present findings to senior management to inform business decisions