Manager - AI Consulting

EPAM Systems (Poland) sp. z o.o.; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid by design

Remote work within Poland

Employee referral program

Private medical care

Life insurance

Flexible working time

Job summary

EPAM Systems (Poland) sp. z o.o. in Warszawa seeks an experienced Manager in AI Consulting to lead data science initiatives that drive measurable business outcomes for clients and internal teams.

You will mentor large data teams, translate business needs into scalable AI solutions, and advocate adoption of cutting-edge technologies to ensure innovation and excellence across projects. This role offers a hybrid work model within Poland.

Qualifications

• 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 effectively explain technical concepts to diverse audiences

Responsibilities

• 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

Skills

Data science

Leadership

Python

ML methodologies

Data engineering

Communication

Mentoring

AI/ML strategy

Stakeholder collaboration

Tools

PyTorch

TensorFlow

AWS

Azure

GCP

Job description

• We are seeking an experienced Manager, 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.

Your responsibilities

• 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

Our 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 effectively explain technical concepts to diverse audiences

Optional

• Certifications in data science, machine learning, or cloud technologies to validate expertise
• Experience in integrating data science solutions with enterprise systems to improve operational efficiency
• Proficiency in advanced data visualization techniques and tools to effectively communicate insights to stakeholders

What we offer

• We gather like‑minded people:
• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup‑like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business‑driven relocation opportunities
• Thought leadership, mentoring, soft skills and well‑being programs
• We cover it all:
• Participation in the Employee Stock Purchase Plan with a 15% discount
• Referral bonuses up to $2,000
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
• Corporate, social and well‑being events
• Please, note:
• Benefits listed above are available to employees only
• We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
• We will reach out to selected candidates exclusively

Development opportunities we offer

• conferences in Poland
• external training
• industry‑specific e‑learning platforms
• intracompany training
• space for experimenting
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company

private medical care

life insurance

flexible working time

video games at work

coffee / tea

parking space for employees

employee referral program

charity initiatives

Recruitment stages

1

2

Technical Interview (90 min)

3

4

Meeting with the Project Team or Client (60 min, optional)

• EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi‑national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting‑edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.