Data Scientist

Role Summary: The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights, and support data-driven decision-making.

Key Responsibilities:

• Data Collection & Processing

o Extract, clean, and preprocess structured and unstructured data from multiple sources.

o Ensure data integrity, quality, and governance.

• Analytics

o Apply statistical methods to solve business problems.

o Develop algorithms to optimize business processes (e.g., customer record segmentation, duplicate detection, recommendation for efficiency optimisation).

• Visualization & Reporting

o Build dashboards and visualizations to communicate findings to stakeholders.

o Translate complex results into actionable insights for non-technical audiences.

• 
  Collaboration

o Work closely with project implementation teams to understand requirements and deliver data solutions.

o Collaborate with data engineers to expedite data driven conclusions and opportunity areas.

Required Skills & Qualifications

• Education: Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Data Science, or related field.

Technical Skills:

o Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI, matplotlib).

o Strong knowledge of statistics, probability, and hypothesis testing.

o Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

Business Skills:

o Ability to translate data insights into business recommendations.

o Strong problem-solving and critical-thinking skills.

Preferred Qualifications

• Experience with big data technologies (Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Publications or project work demonstrating data science applications.

Key Performance Indicators (KPIs)

• Accuracy and robustness of conclusions basis data study.
• Business value generated through data insights.
• Timeliness and quality of reports and dashboards.
• Stakeholder satisfaction and adoption of data-driven solutions.