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Salary
≈ $55k – $143k per year (Estimated)
Location
In office (Amman)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 19, 2026.

Overview
Company
Impact
Profile match
Headquartered in London, United Kingdom, Hikma Pharmaceuticals is a multinational pharmaceutical company specializing in the development, manufacturing, and distribution of generic, specialty, and branded medicines. Operating across three core business segments - Injectables, Generics, and Branded products - the company provides an extensive portfolio spanning critical therapeutic areas such as anti-infectives, cardiovascular therapies, oncology, and pain management. With widespread manufacturing infrastructure and commercial operations across North America, the Middle East and North Africa (MENA), and Europe, it supplies hospitals, healthcare systems, and retail pharmacies globally with affordable, high-quality treatments.

Location: Amman, Jordan

Job Type: Full-time

Hashtag: #LI-AA2

About Us :

For over 45 years, Hikma Pharmaceuticals has been putting better health within reach, every day, by creating high-quality medicines and making them accessible to those who need them. We are helping to shape a healthier world that enriches all our communities, and our global team of 9,500+ empowered employees are central to this mission.

As a trusted and reliable partner of over 800 high-quality generics, specialty and branded pharmaceutical products, we are driven to improve access to medicine. Through our 29 manufacturing plants, 3 R&D hubs across the MENA, North America and Europe, our footprint allows us to play a critical role in serving patients.

Description:

We are looking for a talented Sr. Specialist. Data Scientist to join us. At Hikma you’ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We’re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.

If you want to be part of a team that cares about impact, this is the place for you.

Key Responsibilities:

  • Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics.
  • Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics.
  • Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions.
  • Design and optimize data pipelines to enable ML model training, validation, and deployment.
  • Utilize LLM, NLP, time-series analysis, and deep learning where applicable to extract insights from structured and unstructured data.
  • Develop interactive dashboards and visualizations to communicate insights to finance and business stakeholders.
  • Ensure data quality, governance, and compliance while handling sensitive financial data.
  • Utilize automation tools such as Selenium to streamline data collection and processing workflows

Qualifications:

We are looking for candidates whose experience and skills align closely with the qualifications outlined below:

  • Minimum: Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Preferred: Master’s degree in Data Science or a related field.
  • At least 4-7 years’ experience in data science and machine learning.
  • Experience in a Finance department is plus.

Skills:

  • Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
  • Experience with Databricks and Azure Databricks for large scale data processing and ML model deployment.
  • Hands-on experience with SQL and working with relational databases.
  • Knowledge of big data processing frameworks such as PySpark.
  • Expertise in ETL/ELT processes and working with structured and unstructured datasets.
  • Experience with data visualization tools such as Power BI, Tableau.
  • Strong problem-solving, analytical, and critical-thinking skills.
  • Experience with LLMs and NLP-based solutions for data enrichment and smart automation.
  • Proficiency in English, both written and verbal, for effective communication with finance and business stakeholders.

Learn more about Hikma in Jordanhikma-jordan-factsheet-aug-2025-en.pdf

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