Summary
The Data Science and Analysis job family is responsible for developing and applying methods to collect, process, and analyze data to support decision making. Job holders turn data into insights that help organizations solve problems and make informed decisions. They may work in a variety of fields, such as healthcare, finance, marketing, or manufacturing.
In their work, they may use a variety of tools, including data mining, machine learning, and predictive modeling. They may also develop new methods for data collection and analysis.
Typical Activities
- Designs and develops systems to process, visualize and interpret big data.
- Identifies questions and issues for data analysis and experiments.
- Identifies meaningful insights from large data and metadata sources.
- Employs statistical analysis such as multivariate regression analysis
- Uses machine learning and artificial intelligence methods such as Natural Language Processing
- Develops and codes various software programs.
Synonyms or related job titles
Data Analyst, Data Scientist, Statistician, Mathematician, Demographer, Mathematical Statistician, Psychometric Consultant, Quantitative Methodologist, Research Scientist, Researcher, Statistical Analyst, Statistical Consultant, Statistical Reporting Analyst
Please match in this collective family all specialized Data Science and Analysis jobs that cannot be assigned to one of the above-mentioned families. Competencies from the parent family will be shown. A selection of parent family-specific Benchmark Job Matches is available and can be selected manually. The availability of benchmark job matches depends on the survey vendor chosen.
Summary
The Artificial Intelligence job family consists of occupations responsible for developing, implementing, and managing AI-based systems, applications, and analytical models. Professionals in this field use techniques such as machine learning, deep learning, natural language processing (NLP), computer vision, and predictive modelling to automate processes, improve decision-making, and optimise business operations. Roles typically require a strong foundation in computer science, statistics, machine learning algorithms and programming, coupled with the ability to translate business requirements into AI solutions. Individuals work closely with data scientists, software developers, product managers and business stakeholders to deliver intelligent, innovative and ethical AI-powered products and services.
Typical Activities
- Conducts data exploration and analysis to identify appropriate AI approaches, select relevant algorithms, and prepare data sets for training and validation.
- Develops and fine-tunes predictive models, natural language processing systems or computer vision solutions, ensuring reliability, scalability and accuracy.
- Works with data engineering and IT teams to deploy, maintain and continuously improve AI models and systems in production environments.
- Analyses and interprets model results, producing clear and actionable reports and recommendations for stakeholders and management.
- Evaluates ethical considerations and implications associated with AI deployments, ensuring compliance with data privacy standards and organisational policies.
- Identifies and mitigates potential biases or ethical concerns associated with AI systems, aligning development with responsible AI principles.
Synonyms or Related Job Titles
AI Specialist, Machine Learning Engineer, AI Engineer, Artificial Intelligence Analyst, AI Researcher, Machine Learning Scientist, AI Developer, Cognitive Computing Specialist