Job Title : Junior Data Scientist in Banking With 1 3 years Experience:
Job Description:
Position Overview:
We are seeking a motivated and detailoriented Junior Data Scientist in Banking with 13 years of experience to join our Data Analytics team. The ideal candidate will have a strong foundation in data analysis statistical modeling and machine learning and will be passionate about applying these skills to solve complex problems in the banking sector.
Key Responsibilities:
- Data Analysis & Interpretation: Analyze large datasets to extract actionable insights and identify trends patterns and anomalies relevant to banking operations.
- Model Development: Develop implement and validate predictive models using statistical and machine learning techniques to support business decisions and improve customer experiences.
- Data Visualization: Create clear and compelling data visualizations to communicate findings to stakeholders enabling datadriven decisionmaking.
- Data Management: Work with large volumes of data ensuring data quality integrity and security in compliance with industry regulations.
- Collaboration: Partner with crossfunctional teams including IT marketing and finance to understand business requirements and translate them into datadriven solutions.
- Reporting: Prepare and present comprehensive reports on analytical findings and model performance to senior management and other stakeholders.
- Continuous Improvement: Stay current with industry trends advancements in data science and emerging technologies to continually enhance analytical capabilities.
Required Qualifications:
- Education: Bachelor’s degree in Data Science Computer Science Statistics Mathematics or a related field. A Master’s degree is a plus.
- Experience: 13 years of handson experience in data science preferably in the banking or financial services industry.
- Technical Skills:
- Proficiency in programming languages such as Python R or SQL.
- Experience with data visualization tools like Tableau Power BI or Matplotlib.
- Knowledge of machine learning frameworks and libraries such as scikitlearn TensorFlow or PyTorch.
- Familiarity with database management systems and data warehousing solutions.
- Analytical Skills: Strong analytical and problemsolving skills with the ability to interpret complex data and draw actionable insights.
- Communication Skills: Excellent written and verbal communication skills with the ability to present technical information to nontechnical stakeholders.
Preferred Qualifications:
- Domain Knowledge: Understanding of banking processes products and regulatory requirements.
- Certifications: Relevant certifications such as Certified Data Scientist Certified Analytics Professional or equivalent.
- Soft Skills: Strong attention to detail proactive approach and ability to work both independently and as part of a team.