Summary
The Data Science and Analysis job family encompasses roles responsible for developing and applying quantitative methods to collect, process, and analyse data in support of organisational decision-making. The range of roles includes, but is not limited to, data analysts, data scientists, statisticians, quantitative researchers, and machine learning specialists.
These positions are found across a wide variety of industries and sectors, including healthcare, financial services, technology, marketing, manufacturing, and government. The overarching objective of this family is to transform raw data into meaningful insights that help organisations identify patterns, solve complex problems, optimise processes, and make evidence-based decisions.
Typical Activities
- Designing and developing systems and pipelines to collect, process, visualise, and interpret large and complex data sets.
- Identifying business questions and research problems suitable for data analysis, and formulating appropriate analytical approaches.
- Extracting meaningful insights from structured and unstructured data sources using statistical techniques, data mining, and exploratory analysis.
- Applying statistical methods such as regression analysis, hypothesis testing, and multivariate modelling to support evidence-based conclusions.
- Leveraging machine learning and artificial intelligence techniques, including natural language processing and predictive modelling, to automate and enhance analytical capabilities.
- Communicating findings and recommendations to stakeholders through clear reports, dashboards, and data visualisations that support informed decision-making.
Synonyms or related job titles
Data Analyst, Data Scientist, Statistician, Quantitative Researcher, Research Scientist, Statistical Analyst, Mathematical Statistician, Quantitative Methodologist, Demographer, Psychometric Consultant, Statistical Consultant, Data Mining Specialist.
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 is comprising roles responsible for developing, implementing, and managing AI-based systems, applications, and analytical models. The range of roles includes, but is not limited to, AI engineers, machine learning engineers, AI researchers, and cognitive computing specialists.
These positions are found in technology companies, research institutions, financial services, healthcare, and any organisation seeking to automate processes and enhance decision-making through intelligent systems. The overarching objective is to design and deploy reliable, scalable, and ethical AI solutions that translate business requirements into measurable improvements in efficiency, accuracy, and innovation.
Typical Activities
- Conducting data exploration and analysis to identify appropriate AI approaches, select relevant algorithms, and prepare data sets for training and validation.
- Developing and fine-tuning predictive models, natural language processing systems, and computer vision solutions, ensuring reliability, scalability, and accuracy.
- Collaborating with data engineering and IT teams to deploy, maintain, and continuously improve AI models and systems in production environments.
- Analysing and interpreting model results, producing clear and actionable reports and recommendations for stakeholders and management.
- Evaluating ethical considerations and potential biases associated with AI deployments, ensuring compliance with data privacy standards and responsible AI principles.
- Staying informed about emerging AI research, tools, and frameworks to identify opportunities for innovation and competitive advantage within the organisation.
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.