Senior Data Scientist

We are looking for a Senior Data Scientist to join us at our Cyprus office in Nicosia in a hybrid work setup.
This position is integral to one of our projects in the client's Finance IT area, focusing on the integration component of their finance landscape. In this role, you will turn big data into actionable knowledge, which requires a blend of scientific, problem-solving, analytical, technical and communication skills.
If you're ready to leverage your skills and perspective to make a significant impact, apply now and help us transform our data capabilities in the finance and insurance industries.

#LI-DNI

Responsibilities

• Convert large volumes of structured and unstructured client data using advanced analytical solutions
• Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions
• Turn analyzed data into actionable insights and business value
• Create high-quality data visualizations
• Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters
• Educate and train others on Data Science related matters
• Estimate, plan and coordinate the delivery of moderate sized projects
• Evaluate and select Data Science tools and libraries
• Identify business problems
• Build and validate analytical models
• Present findings in a clear and informative way

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• 4+ years of experience in data mining, statistics, or machine learning
• Decent communication/presentation skills
• RDBMS/SQL knowledge
• Programming experience (Python preferred)
• Experience with Data analysis tools and libraries such as Python (NumPy/SciPy/Scikit-learn/Pandas/Matplotlib), R, SAS, SPSS, MATLAB, etc
• Experience in Big Data stack, Spark/MLlib
• Proficiency with at least one of the Cloud providers
• Experience with Data Science solutions productionalization
• Bachelor's/Master's Degree in Computer Science, Math, Applied Statistics or a related field
• Fluent English language knowledge

• Data visualization skills
• NLP/text mining experience

• Private healthcare insurance
• Regular performance assessments
• Family friendly initiatives
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• *All benefits and perks are subject to certain eligibility requirements