Location: Riyadh, Saudi Arabia
Müller's Solutions is seeking a skilled Data Scientist for a 6-month contract position. In this role, you will utilize your expertise in machine learning, statistical analysis, and data modeling to extract meaningful insights from complex data sets. You will work collaboratively with cross-functional teams to develop predictive models and data-driven solutions that address business challenges and enhance organizational performance.
Responsibilities:
Analyze large and complex data sets to identify trends, patterns, and relationships.
Develop and implement machine learning models to solve specific business problems.
Collaborate with stakeholders to define data requirements and translate business needs into data science problems.
Prepare data for analysis, including data cleaning, preprocessing, and transformation.
Communicate findings and insights to stakeholders through reports, dashboards, and presentations.
Stay current with advancements in data science, machine learning techniques, and industry best practices.
Monitor and maintain existing predictive models, updating them as necessary.
Participate in data governance and data quality initiatives to ensure data integrity.
Requirements
Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field.
Proven experience as a Data Scientist or in a similar analytical role.
Strong proficiency in programming languages such as Python or R, along with experience in data manipulation libraries (e.g., pandas, NumPy).
Familiarity with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras).
Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.
Solid understanding of statistical analysis, modeling techniques, and validation methods.
Excellent problem-solving skills and ability to work with large datasets.
Strong communication skills to convey complex concepts to non-technical audiences.
Ability to work independently and in a team-oriented environment.
Experience with SQL and database management is a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Athens; Limassol; Nicosia
Workplace: hybrid
The Role:
The Data Science team at XM is seeking a skilled Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.
The main responsibilities of the position include:
Design, develop, and maintain scalable data pipelines for data transformation and preparation.
Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
Ensure data quality and consistency across various sources.
Deploy machine learning models and AI tools to production environments.
Collaborate with data scientists to improve data models and support business intelligence tools.
Build and maintain data warehousing solutions.
Enforce data governance and security policies.
Work with cross-functional teams to understand data requirements and provide technical solutions.
Mentor junior data engineers and provide technical guidance.
Main requirements:
MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)
Experience with AWS, Google Cloud, or Azure cloud services
Extensive experience with relational and non-relational databases.
Proven experience with machine learning.
Demonstrated experience in big data processing and analytics.
Strong analytical thinking and problem-solving abilities.
Effective communication skills to convey data-driven insights.
Fluency in English Language
Benefit from:
Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Москва
Отдел исследования данных Управления Комплаенс ищет Руководителя направления по исследованию данных.
Основной задачей будет развитие ML моделей для процесса выявления и расследования случаев легализации доходов, полученных преступным путем. Используются различные платформы исполнения моделей – онлайн (в момент проведения операции) и пакетный расчет по всей клиентской базе. Применяем ансамбли моделей градиентного бустинга, нейросетевые архитектуры на последовательностях событий, временных рядах, графовых структурах данных.
Обязанности
* Декомпозировать задачи и управлять сроками их выполнения;
* Собирать выборки для обучения и валидации моделей;
* Проверять различные модели для решения задачи (классификация, регрессия, выявление аномалий), выбирать лучшую модель;
* Формировать требования к витринам для команды инженеров;
* Проводить ревью кода;
* Подготавливать презентации для защиты результатов;
* Анализировать результаты мониторинга работы моделей на проме;
* Участвовать в собеседованиях кандидатов.
Требования
* Профильное высшее образование;
* Хорошее знание теории вероятностей и статистики;
* Знание Python и основных библиотек (numpy, pandas, scipy, sklearn);
* Уверенное владение популярными алгоритмами машинного обучения и библиотеками градиентного бустинга (LightGBM, CatBoost и др.);
* Опыт разработки и внедрения нейронных сетей на PyTorch.
* Умение обрабатывать большие объемы данных на PySpark;
* Кейсы применения нейросетевых моделей в задачах NLP, Time Series, Graph;
* Опыт наставничества или руководства командой.
Условия
* Бесплатные фитнес залы в офисе;
* ДМС с первого дня и льготное страхование для близких;
* Выгодная ипотека для каждого сотрудника и льготные условия кредитования;
* Скидки на продукты компаний-партнеров;
* Онлайн курсы в Виртуальной школе Сбера и обучение в Корпоративном университете;
* DS&AI community - регулярный обмен знаниями, опытом и лучшими практиками, интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний.
Location: Prague
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.
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We are looking for an exceptional Data Scientist. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm.
Your future role within QRT
This team is integral to the firm’s success. As such, your responsibilities will include:
Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions
Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
Working with Engineers to automate and optimise your code, ensuring robust data extraction processes
Managing the end-to-end process of onboarding new datasets
Proactively solving data related problems to minimise time to production
Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit
Your present skillset
3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
Demonstrable interest in financial markets and the application of data in its analysis and understanding
Experience working with both traditional and alternative financial datasets
Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
Ability to work in a high-performance, high-velocity environment
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Austin
Workplace: OnSite
We are looking for Quantitative Researchers to join our quant hub in Austin. You will have a chance to build alphas, and conduct research working with datasets covering different markets. The role demands sharp analytical skills, a relentless commitment to excellence, and a passion for uncovering hidden patterns in the data.
Our team values determination, precision, and the ability to think critically and creatively. While the work is demanding, the rewards are significant, both in the impact of your contributions and the growth you’ll achieve in this collaborative and high-performance environment. We rely on people’s autonomy and provide freedom to create the best algorithms in finance, while truly being attentive to a fundamentally important asset - communication.
Location
Austin, TX (5 days in-office requirement)
Key Responsibilities
- Build statistical and predictive models
- Manage all aspects of the research process, including methodology selection, data collection/normalization and analysis, prototyping, backtesting, and performance monitoring
- Apply rigorous modeling techniques to explore variety of datasets
- Build new and improve existing signals (long-term)
- Optimize quantitative code and numerical methods
- Adapt, fix, write tests, and in some cases re-implement strategies execution code
Basic Requirements
- Physics, Mathematics, Computer Science, Engineering or other technical degree
- Math skills: statistics, linear algebra, optimization etc
- Strong critical thinking skills with an analytical and creative approach to problem-solving
- Practical Knowledge of Python and Python libraries (NumPy, Pandas etc)
- Detail-oriented approach
- Written and Verbal English in full-working-proficiency level
Nice to have Requirements
- Phd / MSc degree in Physics, Mathematics, Computer Science, Engineering or similar area
- Practical knowledge of C++ or Java
- Competitive Programming Experience (participation in International STEM Olympiads is a huge plus)
What you’ll get
- On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
- Build Strategies while becoming the best at what you do
- Professional guidance from experienced mentors
What makes you a match
- You LOVE solving technical and math problems!
- You love to code and play with data
- You are willing to explore new articles and implement suitable ideas
- Difficult problems make you excited
- You are not afraid of unknown and love to learn
- You have A LOT of passion and drive
Benefits
- Health insurance
- Flexible sick time policy
- Office Lunches
Location: Paris
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.
Your future role within QRT
This team is integral to the firm’s success. As such, your responsibilities will include:
Sourcing, designing and onboarding new datasets according to trading desks’ priorities
Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
Proactively solving data related problems in order to minimise time to production
Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production
Your present skillset
3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
Demonstratable interest in financial markets and the application of data in its analysis and understanding
Experience working with both traditional and alternative financial datasets
Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
Ability to work in a high-performance, high-velocity environment
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Limassol
Wisebits — is an international IT holding with a strong technical team!
Our key product is a high-load video hosting platform used by millions of people worldwide every day. With over 15 years on the market, we’ve built a professional team that values engagement and initiative.
If you’re excited about working with a high-load product and want to have an impact on its development, join us!
What you'll be working on:
Participating in the development and improvement of recommendation systems, including user-item, item-item, and cross-platform recommendations.
Optimizing recommendations on category, channel, and tag pages.
Building text-to-video search: embedding models, ranking, and semantic search.
Turning ML prototypes into production services: inference optimization, profiling, feature preparation, and model quality control.
Developing high-load ML services in Python, including gRPC/Triton-based services.
Our stack:
Languages and libraries:
Python, PyTorch, CatBoost, NumPy, Pandas, Polars, CuDF, CuPy.
Infrastructure and deployment:
Kubernetes, Docker, Airflow, Triton Inference Server.
Data storage:
ClickHouse, MySQL.
What we expect from you:
2+ years of experience with recommendation systems, search, or related ML tasks.
Strong knowledge of Python and ML frameworks, such as PyTorch, CatBoost, etc.
Experience deploying models to production.
Understanding of offline and online model evaluation principles.
What we offer:
Work on an ML product used by millions of users, with real product metrics.
A compact team where every engineer has an impact on the product and can develop expertise across several areas.
Experienced colleagues to discuss ideas with, think through solutions together, and launch new projects and features.
A simple structure — minimum bureaucracy, maximum ownership.
Benefits package: medical insurance, tax compensation, professional training, work equipment, and language courses.
Relocation to Cyprus: visa support, relocation coverage, tickets, and the first month of accommodation.
Flexible schedule, a comfortable atmosphere, and team support.
Work format:
Remote / On-site
Salary:
From €4,000 net per month. The final compensation level may be higher and depends on relevant experience, skills, and overall match with the role requirements.
Limassol; Relocation to Cyprus: visa support, relocation coverage, tickets, and the first month of accommodation
Montevideo
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seniorPrague; 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
Офис
Austin; On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
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