Data Scientist

AceNet; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

A global business consulting firm based in Abu Dhabi is seeking an experienced Data Scientist to drive advanced analytics initiatives in public sector finance. The ideal candidate will have expertise in machine learning and predictive analytics. Responsibilities include deploying anomaly detection systems, developing predictive models, and conducting scenario analysis. The firm offers competitive compensation, professional development opportunities, and a supportive work environment.

Benefits

Competitive compensation & benefits

Continuous investment in employee growth

Supportive work-life balance

Qualifications

• 7 to 12 years of experience in data science.
• Hands-on experience with data platforms.
• Strong understanding of public sector finance.

Responsibilities

• Deploy a machine learning-based anomaly detection system.
• Develop predictive models for debt management.
• Create scenario analysis reports for decision-making.

Skills

Proficiency in Python

Proficiency in R

Cloud-based analytics

Dashboard development with Tableau

Job description

Overview

Experience: 7 to 12 years

Location: Abu Dhabi

About Us:

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.

We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary

We are seeking an experienced Data Scientist to join our team and drive advanced analytics initiatives in the public sector finance domain. The ideal candidate will have proven expertise in machine learning, predictive analytics, and financial forecasting, and will act as a key advisor, model developer, and knowledge transfer facilitator.

Key Responsibilities

• Deployment of a machine learning-based anomaly detection system, including reports of detected anomalies and recommended mitigation actions.
• Roadmap and integration plan for advanced analytics use cases within the Financial Foresight Platform.
• Implementation of an automated reconciliation system integrated between FMIS and TMS, supported by anomaly detection capabilities.
• Scenario analysis reports detailing identified risks, compliance gaps, and ML model outputs to support decision-making.
• Development of predictive models for debt management and reporting on optimal debt strategies.
• Insights and visual reports on the influence of external economic indicators and trends on national financial planning.
• Identification and documentation of additional use cases, along with recommendations for refining and optimizing existing analytics models.

Role Requirements and Qualifications

• Proficiency in Python, R, or similar languages for machine learning.
• Hands-on experience with data platforms and cloud-based analytics.
• Strong understanding of public sector finance and economic modeling.
• Experience in dashboard development using Tableau is a plus.
• The individual will act as an advisor, model developer, and knowledge transfer facilitator to build internal capacity.

Why Join Us

• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply

If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position