Data Scientist
The Data Scientist applies statistical analysis, machine learning, and advanced analytics to extract insights from large datasets. This role develops predictive models and data-driven solutions to complex business problems.
What Does a Data Scientist Do?
Develop models that deliver measurable business impact, communicate findings clearly to non-technical stakeholders, and maintain reproducible research workflows.
Key Responsibilities & Tasks
Model Development
- Design and train machine learning and statistical models
- Evaluate model performance and iterate on approaches
- Conduct feature engineering and data preprocessing
Research and Insights
- Translate business problems into data science solutions
- Communicate complex findings to non-technical audiences
Do You Have the Skills for This Role?
A Data Scientist needs 5 core competencies. Here's what's required and at what level.
Must-Have Skills (Advanced)
Problem Solving
AdvancedThinking Critically
Sense Making
AdvancedThinking Critically
Digital Fluency
AdvancedStaying Relevant
Supporting Skills
Creative Thinking
IntermediateThinking Critically
Communication
IntermediateInteracting with Others
SkillsFuture Skill Levels
3 levelsBasic
Recognise and understand fundamental concepts. Apply skills in routine situations with guidance.
Intermediate
Apply skills in varied situations independently. Analyse problems and adapt approaches as needed.
Advanced
Lead and innovate in complex situations. Evaluate strategies, guide teams, and drive improvements.
Technical Skills & Competencies (TSC) Levels
6 levelsFollow
Carry out routine tasks under close supervision. Follow established procedures and guidelines.
Assist
Perform tasks with some independence. Assist in non-routine situations and apply established techniques.
Apply
Apply skills and knowledge independently in varied situations. Analyse problems and adapt approaches.
Analyse
Analyse complex situations and develop solutions. Guide and mentor junior colleagues.
Strategise
Set strategic direction and drive innovation. Evaluate trade-offs and make high-impact decisions.
Transform
Lead industry transformation. Establish standards, shape policy, and provide expert advisory.
Technical Skills & Competencies
A Data Scientist requires 9 technical skills at specific proficiency levels.
Business Needs Analysis
Level 4Business and Project Management
Investigate existing business processes, evaluate requirements and define the scope for recommended solutions and programmes
Data Design
Level 4Design and Architecture
Design data models and data flow diagrams and mechanisms to optimise the flow, maintenance, storage and retrieval of data
Data Governance
Level 4Governance and Compliance
Implement guidelines, laws, statutes and regulations on appropriate handling of data at various stages in their lifecycle, and monitor compliance with data policies
Data Strategy
Level 4Strategy Planning and Implementation
Develop data management structures and recommend policies, processes and tools for effective data storage, handling and utilisation
Data Visualisation
Level 4Development and Implementation
Design data displays to present trends and finding, incorporating new and advanced visualisation techniques and analytics capabilities
Solution Architecture
Level 4Design and Architecture
Develop a solution architecture and prepare a technical blueprint for a given area, demonstrating how the solution addresses requirements
Emerging Technology Synthesis
Level 3Business and Project Management
Conduct research and identify opportunities for new and emerging technology to support the business
Stakeholder Management
Level 3Stakeholder and Contract Management
Serve as the organisation's main contact point for stakeholder communications, clarifying responsibilities among stakholders, and engaging them to align expectations
Test Planning
Level 3Development and Implementation
Determine requirements and develop a phase test plan, identifying optimal schedules and means for executing test scripts
European Skills Framework
ESCOSkills and knowledge areas required for this occupation based on European classification.
Essential
Career Paths from Data Scientist
Explore related roles in Infocomm Technology that share similar skill requirements.
Will AI Threaten Your Job?
81Most at risk
Most resilient
Quick Facts
Is Data Scientist right for you?
Take the free 10-minute Career Portrait to see which career direction fits your motivations and strengths.
More in Infocomm Technology
Explore all career paths in the Infocomm Technology sector.
View all Infocomm Technology roles