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Business & Data Analyst

Amman, Jordan

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As Data Scientist/Analyst, your main mission will be to apply your in-depth knowledge in technology and programming into the design of machine-learning models, assisting customers in choosing and adapting the right models for their business. You will need to innovate our solutions and provide new features that incorporate Artificial Intelligence (AI).


  • Define product requirements, including writing high-level designs and working with business managers, software engineers to bring competitive features to life.
  • Analyze big data, apply machine-learning — supervised and unsupervised learning, algorithms for classification, clustering, and anomaly detection.
  • Develop prototype Machine learning models and validate them.
  • Develop proper Business Cases for newly introduced features (expected behaviors)
  • Work on innovative projects involving Machine Learning, and big sets of data.
  • Proactively invent solutions and provide prototypes.
  • Develop AI models to decipher key customer-behavior patterns.
  • Implement Machine Learning processes to help build business-driven solutions.
  • Present the findings from your models in a comprehensive manner to customers.
  • Follow-up on new technologies and extend your knowledge on them.
  • Work on innovative projects involving Machine Learning, and big sets of data.
  • Conduct business analysis sessions at the customer site to gather requirements; assist them in selecting the right machine learning models, and fine-tune them.
  • Proof of Concept Creation, following up with all stakeholders to create the required proof of concept.
  • Understand the products, the business behind the products, the competition, and market needs.
  • Work closely with business experts to understand the operational needs (actuarial, marketing, operations, and more), collaborating with them on identifying the relevant data — internal and external.
  • Apply Data Science tools to solve business challenges (incl. machine learning).
  • Develop algorithms and procedures for which you will measure the relevance, performance, and robustness over time.
  • Work in iterative processes with the business and validates findings.
  • Help promote a data & analytics-driven culture in the company.


  • Bachelor’s Degree in computer science or an equivalent degree.
  • 3-5 years of experience in Data Science.
  • Excellent skills in statistics, machine learning, and data mining.
  • Experience with Machine learning algorithms (e.g. clustering, decision trees, ensemble methods, clustering, regression, neural networks, one class classification).
  • You love tackling difficult cases 
  • Knowledge of Data Science within financial crime and fraud is a big plus.
  • Academic background preferably in Computer Science or statistics.
  • Fluency in English, and good writing and communication skills.
  • Experience with SQL.
  • Experience with one or several of the following machine learning tools: Apache Spark, IBM SPSS Modeler, Data Robot, R, Hadoop, SAS, etc
  • Knowledge of data transformation and data preparation techniques.

Apply for this role

Please fill in the fields indicated below, attaching a current resume and a cover letter, to be considered.