Data scientist

Description

[Employer] IFS is looking for a Data Scientist, the job involves working with client data to develop and implement fraud detection models, which includes data cleaning, feature engineering, and model tuning. Responsibilities also include collaborating with clients and internal teams, communicating findings, and contributing to product development by creating scalable data pipelines and improving processes.

Key skills required are proficiency in Python (including libraries like NumPy, Pandas, and scikit-learn), machine learning, distributed computing (like PySpark), and strong communication abilities.

Core responsibilities

• Data analysis and modeling: Understand client data, perform data cleaning and preprocessing, and develop and tune machine learning models.
• Collaboration: Work with internal teams (Product, Research) and external stakeholders (clients) to understand business objectives and ensure client success.
• Technical leadership: Provide technical guidance, drive project execution, and contribute to building scalable data pipelines and prototypes.
• Product development: Help improve the product by contributing to solution development, keeping up with fraud prevention trends, and creating generalized product enhancements.
• Communication: Clearly communicate complex findings and strategies to both technical and non-technical audiences.

Key skills and qualifications

• Programming: Strong proficiency in Python, including scientific stack libraries (NumPy, Pandas, SciPy, scikit-learn) and experience with distributed computing tools like PySpark.
• Machine Learning: Expertise in machine learning concepts and algorithms.
• Data Manipulation: Experience with data cleaning, feature engineering, and building scalable data pipelines (e.g., with Airflow and Trino).
• Communication: Excellent verbal and written communication skills to explain complex ideas to various stakeholders.
• Analytical: Strong analytical and problem-solving skills to tackle complex financial crime challenges.

Education: A degree in a quantitative field like Computer Science, Statistics, Applied Mathematics, or a related area is often required.

Why [Employer]

You’ll work with a talented global team, contribute to meaningful technical initiatives, and help shape a high performing DevOps culture.

[Employer] is a global, dynamic, and fast growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, [Employer] has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.

We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.

With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi Tech, Education, Defense, and Security—[Employer] serves a strong customer base in Israel alongside a continuously expanding global client portfolio.

At [Employer], our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.

[Employer]’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.

Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.

To learn more, visit: [link removed]

Originally posted on [Employer]