Job Description

Job Opportunity: Senior Data Scientist



Are you an experienced and inquisitive individual with a passion for data? Join our team as a Senior Data Scientist and be a key player in shaping our data-driven future!

Why Join Us?

Innovative Environment

: Work with cutting-edge technologies like AWS and DataBricks.

Leadership Role

: Lead and manage junior resources, with opportunities for international team management.

Stakeholder Engagement

: Utilize your strong personality and communication skills to engage with stakeholders effectively.

Problem Solving

: Tackle complex problems and provide innovative solutions.

Continuous Learning

: Stay ahead with the latest advancements in GenAI and machine learning.

Responsibilities:

Data Integrity

: Process, cleanse, and ensure the integrity of data used for analysis.

Algorithm Development

: Develop algorithms and create predictive models to enhance our product offerings.

Machine Learning Techniques

: Utilize machine learning techniques to improve data quality and generate reports with actionable insights.

Collaboration

: Collaborate with the team to present findings and recommendations effectively.

Qualifications and Experience:

Experience

: 5+ years of working experience in Data Science.

Education

: Degree in quantitative fields like Mathematics, Statistics, Operational Research, Economics, or equivalent industry training and experience.

Strategy Development

: Experience in strategy development and implementation using advanced data analytics.

Outsourced Environment

: Experience working in an outsourced environment and effectively implementing solutions using both internal and external resources.

Analytical Experience

: At least 5 years of analytical experience on a consumer portfolio dataset (retail, banking, telecoms, etc.).

Programming Skills

: Proficiency (intermediate or advanced level) in Python or equivalent analytical & statistical programming languages.

Statistical Concepts

: Understanding of key statistical concepts used in model development, evaluation, and hypothesis testing.

Data Processing Tools

: Exposure to data processing tools like Spark or Hadoop for working with large-scale datasets (Exposure to cloud platforms like AWS advantageous).

Machine Learning Knowledge

: Outstanding knowledge of machine learning techniques and algorithms, including clustering methods, neural networks, and boosting algorithms.

If you're ready to take your data science career to the next level and be part of a dynamic team, apply now and embark on an exciting journey with us!


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If you have not heard from us within 2 weeks, please note that your profile has not been successful for this role. We will, however contact you should we have other roles that suit your skills.