Career141

Senior Data Scientist

Summary

Colombo,

Sri Lanka

On-Site

LKR

1000000

-

1800000

Full-time

Category

Other

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Roles & Responsibilities

We’re seeking a passionate and results-driven Senior Data Scientist to join our client’s technology and analytics team. In this role, you’ll design and deliver advanced machine learning solutions that power data-driven decisions and automation across the business.

Level : T1 Level

Experience : 10 – 13 plus years of experience

Overseas Training : Two weeks training in UK

Location : Colombo

Work Hrs : Sri Lankan Working Hours

MANDATORY SKILLS – ( 100% hands on experience )

  • AI / ML Modeling – Gen AI & Datamining Models
  • Python, SCIKIT, Pyspark , data manipulation – Mandatory
  • BI REPORTING AND DATA ANALYSIS – QLIK
  • Azure
  • SPARK

OPTIONAL SKILLS :

  • MLOPS
  • Knowledge on Containers

KEY RESPONSIBILTIES:

  • Build, train, and deploy machine learning and AI models for predictive insights and process automation.
  • Analyze large and complex datasets to uncover trends and generate actionable insights.
  • Partner with product, engineering, and business teams to develop data-driven solutions.
  • Develop robust data pipelines and workflows for model training and deployment.
  • Apply advanced analytics to enhance areas such as risk modeling, fraud detection, and customer analytics.
  • Present analytical outcomes and recommendations through compelling visualizations and reports.
  • Stay ahead of emerging tools, techniques, and technologies in AI and data science.

SKILLS & COMPETENCIES:

  • Strong programming experience with Python or R, and proficiency in SQL.
  • Hands-on experience with machine learning frameworks
  • Expertise in data preparation, feature engineering, and statistical modeling.
  • Ability to interpret business challenges and convert them into technical solutions.
  • Excellent communication skills, especially when presenting insights to non-technical audiences.
  • Strong problem-solving mindset and ability to thrive in fast-paced environments.

Pre Requisites

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related discipline.
  • Minimum 10 – 13 years of experience in data science, analytics, or AI model development.
  • Exposure to large-scale data environments (Spark, Hadoop, or similar).
  • Experience with cloud-based data platforms (AWS, Azure, or GCP) is an advantage.
  • Prior experience in financial services, fintech, or risk analytics will be a strong plus.

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