Asks for

The ad says“Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics”
The ad says“4+ years of experience in AI, Data Science, and Machine learning”
The ad says“Experience in classical software development and architecture”
The ad says“GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust”
The ad says“Data: pandas, SQL, BigQuery”
The ad says“Code: Python, Jupyter, mypy, uv, black, flake8”
The ad says“GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust”
The ad says“Coding Agents: Claude Code, Codex, Cursor”
The ad says“Coding Agents: Claude Code, Codex, Cursor”
The ad says“Coding Agents: Claude Code, Codex, Cursor”
The ad says“Cloud: GCP, Dagster, MLFlow”
The ad says“4+ years of experience in AI, Data Science, and Machine learning”
The ad says“Code: Python, Jupyter, mypy, uv, black, flake8”
The ad says“Cloud: GCP, Dagster, MLFlow”
The ad says“GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust”
The ad says“Code: Python, Jupyter, mypy, uv, black, flake8”
The ad says“GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust”
The ad says“ML: scikit-learn, lightgbm, pytorch”
The ad says“Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics”
The ad says“Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics”
The ad says“4+ years of experience in AI, Data Science, and Machine learning”
The ad says“Confident statistical and machine learning skills”
The ad says“Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics”
The ad says“Cloud: GCP, Dagster, MLFlow”
The ad says“Code: Python, Jupyter, mypy, uv, black, flake8”
The ad says“Data: pandas, SQL, BigQuery”
The ad says“Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics”
The ad says“Proficiency in Python (including pure Python, and not only jupyter notebooks)”
The ad says“ML: scikit-learn, lightgbm, pytorch”
The ad says“Experience in using reproducible research techniques”
The ad says“ML: scikit-learn, lightgbm, pytorch”
The ad says“Experience in classical software development and architecture”
The ad says“Data: pandas, SQL, BigQuery”
The ad says“Confident statistical and machine learning skills”
The ad says“Code: Python, Jupyter, mypy, uv, black, flake8”
The ad says“GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust”

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

About the Role:

You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience.

As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product.

Your Impact:

Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback
Communicating with fellow data scientists, product owners, and developers
Applying best software engineering practices to build a reliable codebase
Performing code reviews
Working in agile environment and presenting the results of your work on regular sprint reviews

Your Qualifications:

4+ years of experience in AI, Data Science, and Machine learning
Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics
Experience in building complex multipart and multistep LLM-based and ML systems
Proficiency in Python (including pure Python, and not only jupyter notebooks)
Experience in using reproducible research techniques
Experience in developing AI solutions for production usage
Full professional proficiency in English

Standout Qualities:

Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation
Confident statistical and machine learning skills
Experience in creating core AI systems that are foundational to the product and are used in many parts of it
Experience in classical software development and architecture

Interpersonal skills:

Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization.
You are proactively pushing yourself to develop your skills and knowledge
Decision making and argumentation skills
Open to feedback and ready to react on it
Ability to work autonomously on a project level

Our Work Style:

Code: Python, Jupyter, mypy, uv, black, flake8
Data: pandas, SQL, BigQuery
GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust
LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing)
ML: scikit-learn, lightgbm, pytorch
Cloud: GCP, Dagster, MLFlow
Coding Agents: Claude Code, Codex, Cursor

Team Dynamics:

As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users.

Benefits & Perks:

5 Weeks of paid vacation
Sick Leave Compensation
- 5 Paid Uncertified Sick Days
- 2 weeks fully paid w/ medical certificate, additional
- 4 weeks paid at 80% salary rate
Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Meal Vouchers (CZK 220 per working day)
Annual Prague Travel Card (Lítačka)
Hybrid Working Model
Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s Next?

Introduction Call with a Recruiter
Technical interview
Cultural interview

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.

#LI-AV1

Who Is Wrike and Our Culture

We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.

Hybrid work mode

Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.

While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.

Our persona

💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.

💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!

🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful.

Our culture and Values

🤩 Customer-Focused

We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.

🤝 Collaborative

We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.

🎨 Creative

We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.

💪 Committed

We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.

Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.