We are looking for an experienced AI and Data Science Engineer to join our team and help us build intelligent and data-driven solutions for our Healthcare website
As an AI and Data Science Engineer, you will work with our cross-functional teams to develop and deploy data models,algorithms, and other AI-powered tools that improve patient outcomes and optimize our healthcare services
You will also be responsible for ensuring the accuracy, quality, and integrity of our data, as well as identifying new opportunities for AI-driven innovation
Responsibilities:
Design and develop data models, algorithms, and other AI-powered tools to support our healthcare services and improve patient outcomes.
Work with cross-functional teams to identify and prioritize key data-driven initiatives and develop project plans that align with business goals and objectives.
Build and maintain data pipelines and ETL processes to ensure the accuracy, quality, and integrity of our data.
Analyse data sets to identify trends, patterns, and insights that inform decision-making and support continuous improvement.
Collaborate with other data scientists, engineers, and stakeholders to develop and deploy machine learning models and predictive analytics tools.
Participate in the development and implementation of data governance policies and procedures to ensure compliance with industry regulations and standards.
Keep up to date with emerging trends and technologies in AI and data science and identify new opportunities for innovation.
Requirements
Bachelors or master s degree in computer science, Data Science, Statistics, or a related field.
3+ years of experience in data engineering, machine learning, or AI development.
Strong programming skills in Python or R, as well as experience with data visualization tools and SQL databases.
Familiarity with big data technologies such as Hadoop, Spark, and No SQL databases.
Knowledge of data modelling, data warehousing, and ETL processes.
Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
