Data Scientist

Requirements:

• Proven experience (3+ years) in data science or advanced analytics roles

• Strong programming skills in languages such as Python (preferred) or R

• Proficiency in using data visualisation tools to communicate findings

• Experience with machine learning techniques and statistical modelling

• Experience working with large, complex datasets

• Ability to explain complex technical concepts to non-technical audiences

• Understanding of data ethics, privacy, and governance principles

• Experience working in cross-functional teams and collaborative environments

• Experience of applying version control in GitHub and of collaborating with others on codebases

• Strong problem-solving and critical thinking skills

• Written and verbal proficiency in English is required

Nice to have:

• Experience in a commercial, or education technology environment

• Familiarity with cloud platforms such as AWS, Azure, or GCP

• Experience with modern data engineering tools and frameworks

• Knowledge of Agile methodologies and product development lifecycles

• Publications, conference presentations, or contributions to the data science community

• Experience of working with ML or AI Engineers

Resposibilites

• Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges

• Collaborate with data engineers to build scalable data pipelines for modelling and reporting

• Translate business requirements into data science problems with defined success metrics

• Prepare, clean, and manipulate large datasets for analysis and modelling

• Communicate results and recommendations clearly to diverse stakeholders, including non-technical audiences

• Work with product teams to integrate data science solutions into operational workflows

Offer:

• Constant support of dedicated consultant

• Employee referral program

• paid time off