Manager - Data Science and AI Consulting (EPAM SISTEMOS, UAB)

Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-10-24
💶 5600 - 8000 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: taip · paskelbta 2026-10-01

Kandidatuoti šaltinyje (cv.lt) →

Job description:
We are seeking an experienced **Manager, Data Science and AI Consulting**, to join our team.
In this role, you will leverage your deep expertise in data science to design and implement impactful solutions that address complex business challenges. You will partner with clients and internal teams to develop strategies that maximize the value of data insights and drive measurable outcomes.
The ideal candidate combines strong leadership and communication skills with a creative, analytical mindset and a proven ability to translate business needs into actionable data-driven solutions. You will also play a key role in mentoring teams and championing the adoption of cutting-edge technologies to ensure innovation and excellence across projects.
_Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices._
Lead the development and implementation of data science solutions aligned with business needs
Collaborate with stakeholders to identify opportunities for data-driven strategies
Build and optimize machine learning models to improve workflows and business outcomes
Design and maintain analytics frameworks that enable informed decision-making
Ensure data science systems are scalable, reliable, and adaptable across environments
Mentor and provide technical guidance to data science teams to foster growth and expertise
Analyze data to uncover trends, patterns, and actionable insights
Communicate results and solutions effectively to both technical and non-technical audiences
Stay up to date with advancements in artificial intelligence, machine learning, and data science technologies
Drive innovation by introducing new techniques and tools to enhance workflows and solutions
Requirements:
At least 10 years of experience in IT, with a strong focus on data science and analytics
Minimum of 5 years in senior leadership roles (e.g., Manager, Architect, Lead) within Agile or hybrid environments
Proven track record of managing teams of 40+ members, ensuring productivity and alignment with project objectives
Participation in at least 8 full project lifecycles, or successful launch of 2+ products or significant features to market
Deep expertise in data engineering, including data preparation, modeling, and visualization for business applications
Strong knowledge of machine learning methodologies (supervised and unsupervised) and their practical implementation
Demonstrated ability to design and execute AI/ML strategies to solve complex business challenges
Advanced proficiency in Python for data analysis, manipulation, and machine learning workflows
Hands-on experience with PyTorch for building and deploying deep learning models
Familiarity with TensorFlow for scalable machine learning development and deployment
Solid experience with cloud platforms (AWS, Azure, or GCP) for managing and deploying data science solutions
Excellent English communication skills, with the ability to clearly and…

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