Job Description

The role of a Data Scientist involves leading advanced analytics projects and delivering data-driven insights to support decision-making processes. This position is ideal for candidates with a strong analytical mindset and expertise in data science methodologies within the financial services industry.

• Experience: 3-8 years of experience delivering end-to-end data science projects with a proven track record of measurable business impact.
• Technical Skills:

• Deep expertise in Python and a strong foundation in building production-grade ML systems.
• Advanced SQL and experience with large-scale data processing.
• Hands-on experience with MLOps tools and concepts (e.g., Docker, Airflow, MLflow).
• Proven experience in a specialized area relevant to our work, such as Uplift Modeling, Survival Analysis, NLP, or Optimization.

Stable work environmentOpportunity to work with a fast-growing company in fintech domain
A successful Data Science Manager should have:

• A postgraduate degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience in applying machine learning and statistical techniques to solve business problems.
• Strong knowledge of data visualization tools and techniques.

The hiring company is a medium-sized financial services consultancy known for its focus on innovation and delivering tailored analytics solutions. The organisation is committed to leveraging data to drive business strategies and enhance client outcomes.

• A competitive salary
• Opportunities for professional growth and skill enhancement.

If you are passionate about data science and eager to contribute to impactful projects in the financial services industry, we encourage you to apply

Skills Required