Working Student Data Scientist at Bettermile managing dashboards and conducting data analyses. Contributing to building and scaling data platforms in a hybrid work environment.
About the role
- Data Scientist role at Kuunda specializing in data analysis and financial innovation. Conduct exploratory data analysis and build dashboards for key performance indicators.
Responsibilities
- Conduct in-depth exploratory data analysis using Python and statistical methods
- Design, build, and maintain interactive dashboards and analytical reports using Qlik
- Create and maintain clear documentation for data science models and analytical processes
- Assist senior data scientists with data preparation and feature engineering
- Execute data cleaning, transformation, and validation routines using SQL and Python
- Collaborate closely with product managers and business analysts to translate business questions into measurable analytical approaches
- Proactively stay current with data visualization best practices and emerging data science methodologies
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
- 3-5 years of experience in data analysis, academic research, or demonstrable data-focused personal projects
- Working proficiency in SQL for querying data
- Solid foundational skills in Python for data manipulation and statistical analysis
- Hands-on experience with Qlik (View or Sense) for dashboard and report creation
- Exposure or familiarity with dbt (Data Build Tool) or similar analytical engineering tools
- Strong analytical and foundational problem-solving skills
- Excellent verbal and written communication skills
Benefits
- Performance-Based Rewards
- Employee Share Option Plan (ESOP)
- Long-Term Incentive Plan (LTIP)
- Medium-Term Incentives (MTI)
- Short-Term Incentives (STI)
- Health & Wellbeing (Company paid for)
- Compulsory Medical Aid through Discovery (Company contributed R4k)
- Group Life Cover
- Employee Assistance Program (EAP)
- Wellness App
- Opportunities for professional development and career growth
- Flexible work arrangements and a supportive, inclusive work culture
- An exciting and challenging work environment at the forefront of fintech innovation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist at Hiscox applying analytics to influence decisions across business functions. Collaborating with teams to leverage data for problem - solving and strategic insights.
Data Scientist 3 optimizing processes and solving data - driven business problems for AAA's 17 million members. Collaborating on data analytics projects in a hybrid role.
Lead Data Scientist acting as internal consultant optimizing the organization using data analysis and visualization. Collaborating with Agile teams to solve business problems presented by stakeholders.
Lead Applied Scientist creating ML/NLP models for Nightfall’s Data Leak Protection products. Leading research and guiding engineers in the application of machine modeling techniques.
Lead Applied Scientist in AI Engineering at Nightfall creating ML/NLP models for security products. Researching machine modeling techniques and guiding engineers in production integration.
Data Science Intern developing machine learning solutions for fraud detection at GeoComply. Collaborating with data scientists to solve real - world challenges and gain hands - on experience in a fast - paced environment.
Senior Data Scientist applying data science methods to enhance insurance analytics. Collaborating with technical experts across Europe to support data - informed decision - making.
Data Scientist developing analytical models for health outcomes evaluation and medical protocol efficiency in a healthcare institution. Collaborating with medical teams for decision support and data integrity.
Staff Product Data Scientist utilizing data analysis and visualization to support GEICO's product management and engineering teams. Driving insights from data to improve products and inform strategies.