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Data Scientist at ELEKS (vacancy inactive)
ELEKS All vacancies (0)
Details
Publication date
December 30, 2025
Location
Ukraine
Кар'єрний рівень
Senior
Освіта
Bachelor
ABOUT THE PROJECT
The project is a financial product that includes an accounting solution, data management solution, performance management, insurance, risk management, and related components.
REQUIREMENTS
– 5+ years of experience in AI/ML or data science, preferably in financial services
– Deep knowledge of applied data science, AI/ML, and Generative AI / LLM
– Proven hands-on experience with Python, TensorFlow, and Keras
– Strong understanding of machine learning algorithms, deep learning, and analytics methodologies
– Prior working knowledge of: computer programming; mathematics and analytics methodology; big data technologies; distributed computing; Communication of complex analytical results
– Strong communication skills and collaborative mindset
– Deep knowledge of applied data science, AI/ML, and Generative AI / LLM
– Proven hands-on experience with Python, TensorFlow, and Keras
– Strong understanding of machine learning algorithms, deep learning, and analytics methodologies
– Prior working knowledge of: computer programming; mathematics and analytics methodology; big data technologies; distributed computing; Communication of complex analytical results
– Strong communication skills and collaborative mindset
RESPONSIBILITIES
– Develop AI/ML and Generative AI / LLM models to solve business challenges
– Apply advanced machine learning and deep learning techniques to generate insights from data
– Develop, test, and deploy scalable and robust AI models and pipelines
– Communicate results and implications of AI initiatives to technical and non-technical stakeholders
– Collaborate with cross-functional teams to understand business needs, strategic goals, KPIs, and reporting requirements
– Establish relationships to obtain data and subject matter expertise required for advanced analytics
– Demonstrate proactivity, ownership, and accountability in problem-solving
– Ensure data science solutions align with business and operating results
– Apply advanced machine learning and deep learning techniques to generate insights from data
– Develop, test, and deploy scalable and robust AI models and pipelines
– Communicate results and implications of AI initiatives to technical and non-technical stakeholders
– Collaborate with cross-functional teams to understand business needs, strategic goals, KPIs, and reporting requirements
– Establish relationships to obtain data and subject matter expertise required for advanced analytics
– Demonstrate proactivity, ownership, and accountability in problem-solving
– Ensure data science solutions align with business and operating results
WHAT WE OFFER
– Close cooperation with a customer
– Challenging tasks
– Competence development
– Ability to influence project technologies
– Team of professionals
– Dynamic environment with low level of bureaucracy
– Challenging tasks
– Competence development
– Ability to influence project technologies
– Team of professionals
– Dynamic environment with low level of bureaucracy
COMPENSATION & BENEFITS
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