Senior Data Scientist

RE Partners Consulting; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading business and technology consulting firm seeks a Senior Data Scientist in Riyadh to deliver high-impact data solutions for banking clients. Your role will include developing AI models, analyzing data, and collaborating with stakeholders to drive business strategies. Join a diverse team focused on innovation and delivering excellence.

Benefits

Referral bonus

Diverse global team environment

Qualifications

• 4+ years of experience in Data Science, preferably in financial services.
• Hands-on experience with data modeling, machine learning, and statistical analysis.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design, build, and implement data-driven solutions for banking.
• Develop and deploy predictive and machine learning models.
• Communicate complex analytical insights clearly to stakeholders.

Skills

Data Analysis

Machine Learning

NLP

Statistical Analysis

Stakeholder Management

Tools

Python

R

SQL

Job description

Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals.

The 3 G’s of RE:

“Get Shit Done.”

“Get Over Shit.”

“Give a Shit.”

Senior Data Scientist

Job Description:

We are looking for a skilled and results-oriented Data Scientist to join our team in Riyadh, working on high-impact data and AI use cases that directly support our banking client’s strategic goals—including driving revenue growth, improving pricing strategies, and optimizing costs. In this role, you will be responsible for developing and implementing advanced analytics solutions and AI models across a variety of business use cases.

You will also play a key role in monitoring the performance and business impact of the solutions you help deploy.

Key Responsibilities:

• Design, build, and implement data-driven solutions to address business challenges in the banking sector.
• Develop and deploy predictive and machine learning models, including:
• Client propensity models (e.g., likelihood to purchase credit cards or loans)
• Price elasticity models
• Analyze unstructured, transactional and behavioral data to generate actionable insights.
• Collaborate with business stakeholders and consultants to identify, shape, and prioritize use cases.
• Evaluate and monitor the impact of implemented use cases, such as tracking incremental sales or cost reductions.
• Contribute to ideation sessions and design workshops.
• Deliver high-quality work independently, under tight timelines.
• Communicate complex analytical insights in a clear and compelling manner to stakeholders and recommend innovative solutions to support data-driven decisions.

Required Qualifications :

• 4+ years of experience in Data Science, preferably in financial services or banking.
• Proficiency in core data science languages and tools (e.g., Python, R, SQL).
• Hands-on experience with data modeling, machine learning, NLP/GenAI and statistical analysis.
• Strong analytical mindset with the ability to translate business questions into technical solutions.
• Self-driven with the ability to work independently and in cross-functional teams.
• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• Experience with DataRobot is a plus.
• Background in banking or financial analytics.
• Arabic language proficiency is a must.

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.