Data Scientist Job Description
What Does a Data Scientist Do?
The Harvard Business Review famously called data scientists the “sexiest job of the 21st century.” Data science involves using tools, data mining, statistical techniques, algorithms, and machine learning to uncover trends and insights from raw data. Data scientists extract meaning, uncover opportunities, and provide actionable insights that help businesses make smarter decisions.
With big data becoming increasingly valuable, organisations across industries are prioritising data science capabilities driving strong demand for skilled data scientists.
Data Scientist Responsibilities
- Identify relevant data sources aligned with business needs
- Collect structured and unstructured data
- Source missing or additional data as required
- Organise and format data for analysis
- Build predictive models and machine learning algorithms
- Improve data collection processes
- Process, cleanse, and verify data accuracy
- Analyse data to find trends and answer specific questions
- Set up and maintain data infrastructure and databases
- Assess data quality and clean datasets
- Generate insights and identify key patterns
- Prepare reports and presentations for project teams and executives
- Create clear and insightful data visualisations
Skills Required for a Data Scientist
- Strong maths and numeracy skills
- Proficiency with databases like SQL Server, Oracle, and SAP
- Experience with reporting and visualisation tools such as Power BI, Tableau, and Business Objects
- Understanding of web scripting languages (XML, JavaScript, JSON)
- Familiarity with ETL frameworks and tools including Alteryx and Microsoft SSIS
- Knowledge of digital marketing analytics tools (Google Analytics, Google Tag Manager, Adobe Marketing Suite)
- Exceptional analytical ability to identify trends and insights
- Strong attention to detail
- Effective presentation skills for communicating complex ideas simply
- Problem-solving aptitude
- Excellent communication and stakeholder management
Career Path for a Data Scientist
The growing demand for data professionals has opened many career opportunities, including progression through roles such as:
- Data Analyst
- Senior Data Analyst
- Junior Data Scientist
- Data Scientist
- Head of Data
Many data scientists also move into leadership or specialist roles in analytics and data strategy.
Reporting Structure
Data scientists often report to:
- Project or department leaders (e.g., CMO)
- Chief Data Officer
- Head of Analytics
They collaborate closely with cross-functional teams to maximise the impact of data-driven insights.
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