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Senior Data Scientist Lead @ Digially

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 Senior Data Scientist Lead

Job Description

Company: Digially Business Solutions

Title: Senior Data Scientist LeadJoining: Immediate joiners preferred (2-4 weeks)

Exciting Opportunity for Senior Data Scientists!


We are looking for experienced Machine Learning and Python professionals to lead data-driven initiatives in Fintech. If you have a strong background in data science, machine learning, and analytics, we would love to hear from you!


Key Responsibilities

Technology-Focused

  • Analyze large datasets to uncover trends, patterns, and insights to drive business decisions.
  • Develop and deploy machine learning models for applications like credit scoring, fraud detection, and customer segmentation.
  • Select, build, and optimize classifiers using machine learning techniques.
  • Perform data mining, cleansing, and processing to ensure high-quality inputs for analytical models.
  • Choose and apply the right predictive or deep learning models for business problems, continuously measuring and improving results.

Business-Focused

  • Work closely with marketing, sales, engineering, and business development teams to define data requirements and generate actionable insights.
  • Design data visualizations and dashboards to effectively communicate findings to stakeholders.
  • Continuously monitor and enhance model performance, algorithms, and accuracy.
  • Stay updated with the latest trends in data science and fintech.

Requirements


Educational Background

  • Bachelor's or Master's degree in Computer Science, Statistics, Finance, Engineering, or a related field.

Experience

  • Minimum 2 years of hands-on experience in Data Science or Analytics (preferably in FinTech).
  • Machine Learning & Python expertise is a must.
  • Power BI or Visualization experience alone will not be considered.

Technical Skills

  • Proficiency in Python and data manipulation libraries (Pandas, NumPy).
  • Strong knowledge of Supervised & Unsupervised Machine Learning Algorithms (e.g., K-means, Logistic Regression, Random Forest, XGBoost).
  • Experience with cloud platforms (GCP, AWS, or Azure) is a plus.
  • Familiarity with web scraping is an advantage.

Other Skills

  • Strong problem-solving abilities and logical reasoning.
  • Excellent communication skills to explain complex concepts clearly.
  • Ability to collaborate across teams and manage multiple projects efficiently.
  • Detail-oriented and proactive in learning new technologies.

How to Apply?

Email your resume to: pa****r@di*****y.ai and an*****c@di*****y.ai


Note: Please apply ONLY if you have relevant experience in Machine Learning & Python (minimum 2 years). Freshers or candidates with only Power BI/Visualization experience will not be considered.


We are an equal-opportunity employer and encourage women candidates to apply!


Join us to shape the future of Fintech with AI-driven insights!

Job Classification

Industry: FinTech / Payments
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Freshers

Contact Details:

Company: Digially
Location(s): Mumbai

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Keyskills:   Communication Skills Artificial Intelligence Business Understanding Machine Learning Python Artificial Neural Networks Fintech Problem Solving Data Mining Data Cleansing Logic Web Scraping

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Digially

About DigiAlly: DigiAlly, a Singapore Fintech Association (SFA) certified company, enables a seamless ecosystem for financial institutions and SMEs by empowering them with Digital Trust. DigiAlly operates across the region Singapore, India, Hong Kong, Vietnam, Philippines, Thailand, Malaysia, Myan...