As a Data Scientist, you will be responsible for developing AI models, analysing complex datasets, and optimising machine learning algorithms. You will collaborate with cross-functional teams to deliver high-impact solutions, guiding stakeholders through the data science process from model development to implementation.,

• Develop AI models and machine learning algorithms to solve business challenges.
• Collect, clean, and preprocess large datasets to ensure accuracy and reliability.
• Implement and fine-tune machine learning models, optimising performance through feature engineering.
• Work with programming languages such as Python, Java, or Scala to build and deploy solutions.
• Analyse and interpret model results, providing insights and recommendations to stakeholders.
• Collaborate with technical and business teams to align AI solutions with strategic objectives.
• Support and train clients on AI applications, ensuring smooth adoption and usage.
• Stay up to date with the latest advancements in data science and contribute to best practices within the team.
  
  1 to 7 years of experience in data science, AI, or machine learning.
• A Master's or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
• Strong proficiency in machine learning techniques, including model training, testing, and feature selection.
• Experience with big data tools such as Spark and Hadoop.
• Hands-on coding experience in Python, Bash, and either Java or Scala.
• Knowledge of statistical methods and data visualisation techniques.
• Familiarity with advanced algorithms, including tree-based models (Random Forests, XGBoost, LGBM) and deep learning.
• An analytical mindset with the ability to extract insights from complex datasets.
• Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
• A proactive, customer-focused approach to problem-solving.
Preferred Experience:
• Background in financial services.
• Exposure to startup environments or agile project methodologies.