You will work on challenging data and analytics problems, applying statistical, machine-learning and advanced analytical techniques while collaborating with technical teams and clients.
Key Responsibilities
- Develop and implement Machine Learning models and algorithms to solve complex problems.
- Apply statistical and data-mining techniques to analyse complex datasets.
- Develop innovative algorithms and analytical solutions, including solutions from scratch where required.
- Work with large datasets and relational databases.
- Perform advanced analytics to identify trends, patterns and actionable insights.
- Analyse issues, identify root causes and recommend effective solutions.
- Translate complex analytical findings into clear and practical recommendations.
- Collaborate with colleagues, technical teams and clients to deliver data-driven solutions.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Continuously explore new approaches,
technologies and methodologies to improve analytical solutions.
Essential Skills & Experience
- Strong experience in Python for Data Science, Machine Learning and advanced analytics.
- Experience with R and/or Scala.
- Strong understanding of statistical and data-mining techniques.
- Hands-on experience with Machine Learning and advanced analytics.
- Experience working with large datasets.
- Strong knowledge of relational databases and SQL.
- Experience developing algorithms and analytical models.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills.
- Ability to explain complex data and technical concepts clearly.
- A quantitative/technical degree such as Computer Science, Mathematics, Statistics, Physics, Engineering or equivalent experience.