Senior Data Scientist

Our Client is Europe’s leading health, sport, and leisure group. The organizatio...

Location

Ukraine; United Kingdom

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science
Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
Advanced level of English

Job Responsibility

Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android
Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions
Design and optimize conversational flows, personalization features, and integration with client documentation systems
Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals
Mentor and guide junior data scientists within the team
Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model

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

AI Data Scientist - Senior

We are seeking a highly skilled and experienced Senior Data Scientist / AI Engin...

Location

Poland , Warsaw

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, or a related field. A PhD is preferred
Minimum of 5 years of experience in data science and AI engineering
Strong proficiency in programming languages like Python
In-depth knowledge of machine learning algorithms and techniques
Experience with LLMs and RAG or agent frameworks (Langchain, LLamaIndex, etc.)
Proficiency in NLP (Natural Language Processing) techniques and libraries
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Ability to work independently and in a team environment
Strong attention to detail and ability to prioritize tasks

Job Responsibility

Collaborate with cross-functional teams to identify, understand, and solve business problems
Design, develop, and implement advanced machine learning algorithms, models, and LLM-based pipelines
Analyze large datasets to extract meaningful insights and patterns
Write production-quality code in Python, using standard software engineering best practices (git, testing, etc.)
Stay up-to-date with the latest advancements in AI, GenAI, and data science
Collaborate with software engineers to integrate AI models into production systems
Provide guidance and mentorship to junior data scientists and engineers

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Complex environment of working, professional support and possibility to share knowledge and best practices
Ongoing development opportunities in a multinational environment
Broad access to professional trainings (incl. language courses), conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card

Fulltime

New

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Columbia, MD

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Famililarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

New

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Minneapolis

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Famililarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
annual incentive program

Fulltime

Senior Data Scientist

The Senior Data Scientist is a technical leader within the CDX Advanced Analytic...

Location

United States , Chicago

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
Five (5) plus years of proven experience with production-level ML models, data pipelines and/or applied AI.
Familiarity with cloud platforms (GCP, BigQuery, Vertex AI), AzureDevOps and reporting tool (Power BI, Tableau).
Experience delivering end-to-end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python and SQL).
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server.

Job Responsibility

Design, build, and maintain production-grade machine learning models that address critical business questions related to student enrollment, retention, and success.
Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
Develop scalable data pipelines and feature engineering processes to support model development and deployment.
Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
Translate business requirements into well-defined analytical problems with clear success metrics.
Present complex analytical findings and model insights to non-technical audiences, including executive stakeholders.
Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
Apply statistical methods to validate model performance and ensure analytical robustness.

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...

Location

United States , Chicago

Salary:

84836.00 - 153548.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
7+ years Experience in data science or analytics roles
3+ years Experience leading technical teams and employees, either through direct People Management or through projects
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Responsibility

Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
Oversee the development of machine learning models, statistical analyses, and predictive algorithms
Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
Ensure model quality, performance, and reliability through robust validation and testing frameworks
Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
Translate analytic findings into simple, actionable, and practical solutions and recommendations

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Software Engineer - GenAI, LLM

Join the Engineering team working on an Autonomous marketing solution to help sh...

Location

Czechia

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

A holistic engineering mindset oriented toward product excellence and impact
Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes
Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios
Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued
Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production
Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows
Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers
Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly

Job Responsibility

Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions
Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users
Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale
Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept
Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios
Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch
Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers
Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight
Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach
Leader Development Program
$1,500 professional education budget
Employee Assistance Program

Senior Software Engineer - GenAI, LLM

Join the Engineering team working on an Autonomous marketing solution to help sh...

Location

Slovakia

Salary:

3700.00 EUR / Month

Bloomreach

Expiration Date

Until further notice

Requirements

A holistic engineering mindset oriented toward product excellence and impact
Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes
Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios
Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures
Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued
Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices
Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows
Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers

Job Responsibility

Design and deliver meaningful, production-grade features end-to-end
Define technical specifications directly from business goals
Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation
Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks
Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks, and monitoring strategies
Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices
Embrace and drive an iterative, agile development process
Support, maintain, and evolve your components post-launch
Document your systems and learnings to enable efficient collaboration within the team

What we offer

Stock options
Comprehensive benefits package
$1,500 professional education budget on an annual basis
Employee referral bonus of up to $3,000
Company performance bonus
Restricted Stock Units or Stock Options
Flexible working hours
Virtual-first work with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer

Fulltime

Senior Data Scientist - Agentic GenAI

Cigres

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 19, 2026

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