Jobs

Основні обов’язки на посаді:
• Проектування і реалізація архітектури системи;
• Обробка, підготовка і аналіз даних;
• Розробка і тестування моделей машинного навчання, а також їх впровадження;
• Супровід існуючих моделей;
• Застосування статистичних методів для аналізу і інтерпретації даних, пошук закономірностей та інсайтів для поліпшення якості моделей;
• Автоматизація і шаблонізація завдань, що повторюються;
• Розробка і супровід алгоритмів для рекомендаційних систем;
• Співпраця з кросс-функциональными командами для реалізації рішень;
• Проведення комплексного статистичного аналізу на великих масивах даних для підтвердження правильності прийняття бізнес-рішень.

Наші побажання до кандидата:
• 3+ роки підтвердженого комерційного досвіду;
• 5+ років Python, R і пов'язаних з ним пакетів, таких як Scikit - learn, Shap, Pandas;
• Високий рівень знань в SQL (CTE, window functions);
• Впевненні математичні знання ( переважно освіта в області комп'ютерних наук або математики);
• Досвід роботи з великими масивами даних, статистичним аналізом, алгоритмами машинного навчання і розробкою моделей;
• Відмінні комунікативні навички для ефективної взаємодії із зацікавленими сторонами ( як технічного так і не технічного характеру).

Перевагою буде:
• Здатність виявляти перспективні сценарії для створення додаткових цінностей у бізнесі;
• Досвід роботи у сфері роздрібної торгівлі;
• Знайомство з фреймворками і бібліотеками штучного інтелекту, такими як TensorFlow, PyTorch або Langchain;
• Досвід роботи з інструментарієм Scientific Python (NumPy, pandas, Scikit - learn, Keras / TensorFlow або PyTorch);
• Досвід роботи з технологіями обробки великих даних, такими як Hadoop, Spark або Hive;
• Досвід проведення статистичних досліджень і A/B- тестування;
• Досвід роботи з інструментами і методами візуалізації даних.

- Please apply if you have strong experience with Time Series, Tabular data and you worked for startups as Data Science.

The fast growing InsurTech start-up building an innovative AI, Machine Learning platform aiming to change the life insurance industry. 
The company is helping insurers to become data-driven and produce insights to inform decision making and drive new business strategies at the corporate level.

We're growing and looking for a top talented Data Scientist to join our team.

What you'll do:
End to end data science cycle: designing, training, implementing, evaluating and monitoring machine learning models
Customer Churn Model, Forecasting, Segmentation, Classification and Regression
Collaborate with product managers and customers to understand business needs and build solutions together
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems
Present your research and insights to all levels of the company (English is a must)
What are we looking for:

-+3 years professional experience in Machine Learning.
-MSc / PhD  in Computer Science / Mathematics / Statistics / Physics or equivalent.
-Start-up industry experience - must. 
-!!! Proficiency in Python, SQL, Numpy and Pandas
- !!! Industry experience from inception to production of ML models (such as time series, clustering, regression and classification algorithms) and Tabular Data
-Strong skills in data exploration, analysis, and visualization
-Team player, positive attitude, collaborative, good communication skills
-Strong problem-solving skills, with experience breaking down a large problem into smaller, manageable components.

It will also be great if you have:
-Experience in Insurance or Fintech
-Experience working with reporting tools such as PowerBi/Tableau
 

We are seeking a highly qualified AI Expert to work with our chatbot, powered by GPT technology. In this role, you will be responsible for creating and optimizing prompts and queries that are sent to GPT to ensure accurate and understandable responses to user interactions.

Responsibilities:

- Analyze and understand user needs and the context of interactions with the GPT chatbot.

- Monitor and analyze the results of interactions with GPT, identifying and addressing shortcomings and unforeseen scenarios.

- Collaborate with developers to implement fixes and enhancements to the GPT system.

- Collect and analyze user feedback to improve the response generation system.

- Continuously update and enhance the prompt and query database based on best practices and the latest developments in Natural Language Processing (NLP).

Requirements:

- Experience in developing tools and systems based on Large Language Models (LLMs).

- Proficiency in essential NLP tools and libraries, such as Python, NLTK, spaCy, PyTorch, Tensorflow, etc.

- Ability to analyze and comprehend user needs and express them in the form of clear and understandable queries.

- High level of proficiency in English (as the language of communication with GPT).

- Strong teamwork and collaboration skills, including working with developers and other specialists.

- Analytical skills and the ability to solve technical challenges.

- Willingness to learn and stay up-to-date with the latest advancements in the field of NLP and AI.

We offer competitive compensation and the opportunity to work with cutting-edge AI technology. If you have the relevant skills and a desire to join our team, we welcome you to apply for the role of AI Expert for our GPT-based chatbot. Your contributions will be instrumental in advancing our platform and enhancing the user experience.

Це ми:

mono — мультипродуктова IT компанія з України. Із 2017 року мільйони людей муркочуть від наших продуктів: monobank, monoбізнес, Experienza, Base, а тепер і market by mono. Прагнемо створити ще більше для нашої екосистеми.

Захоплюєшся AI технологіями, прагнеш вплинути на розвиток продуктів моно? Тоді тобі до нас :) Знайомся детальніше з вакансією, відгукуйся, якщо твоє/про тебе, ми вже ловимо звісточку 🐾
Нумо втілювати амбітні ідеї разом!
 

Про тебе:

• логічне мислення — твоя суперсила
• відмінно знаннєш Python для розробки машинного навчання
• володієш навичками написання запитів та маніпулювання великими наборами даних за допомогою SQL
• маєш досвід роботи з NLP моделями
• маєш досвід роботи з колоборативною фільтрацією та content-based recommendations та гібридними моделями
• є досвід роботи з моделями ранжування
• маєш знання та досвід проведення A/B тестування
• з головою занурюєшся в завдання
• спілкуватися з бізнесом — слей!
• стресостійкість, комунікабельність та проактивність — у тебе в ДНК
   

Довіримо тобі:

• розробку рекомендательних моделей для market by mono
   

Додатково зацінимо:

• досвід використання deep learning для створення рекомендаційних моделей буде плюсом
   

Від себе гарантуємо:

• гідну винагороду та її регулярний перегляд за результатами
• гнучкий графік роботи без трекерів і параної
• можливість гібридної роботи чи повністю віддалено
• відпустку 18 робочих днів на рік (чи 24 календарних) + 2 дні для форс-мажорів + 6 днів для навчання
• оплачувані дей-офи за станом здоров’я — без SMS і лікарняних листів
• корпоративні курси інглішу
• 100% страхування здоров’я + підтримка менталочки
• картку Platinum від monobank і пундики від наших партнерів

🇺🇦 Підтримуємо сили оборони України власними зборами, розвиваємо культуру донатерства.

An international IT company that helps businesses worldwide create innovative software products is looking for Senior Data Scientist. Founded in 2002, today it unites over 2,000 professionals across 41 countries, developing solutions for leading companies, including those in the Fortune 500.

This is a long-term project for a Swiss media company. Its portfolio includes approximately 140 companies in print and digital media, radio, sports media, technology, as well as leading online platforms for cars, real estate, and job opportunities.

What you will do:
- Work with various datasets from the media group (6,500+ employees, more than 20 countries, publishing, and marketplaces).
- Utilize statistics, machine learning, and deep learning to solve business problems.
- Analyze user behavior, interests, and business data to optimize monetization models.
- Collaborate with cross-functional teams to develop AI/ML products.
- Visualize and explain results to both technical and non-technical audiences.
- Stay up to date with and implement the latest research (e.g., LLM, NLP, Hugging Face) to support the current technological landscape.

Requirements: experience with Machine Learning, NLP, and LLM.

Our Customer:

Our customer is a product company with a set of tools for risk scoring and preventing chargeback fraud.

Responsibilities:

• Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring;
• Identify, analyze, and implement solutions for fraud patterns and behavioral anomalies;
• Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy;
• Collaborate with product, engineering, and risk teams to implement fraud prevention strategies;
• Own projects end-to-end — balancing short-term wins with long-term strategy.

Required experience and skills:

• 4+ years of hands-on experience in fraud analytics, data science, or risk modeling;
• Hands-on experience with Python;
• Strong practical proficiency in SQL, MLOps;
• Experience with fraud-related data tools;
• Proven ability to take projects from A to Z in building data infrastructure, anomaly detection, and graph-based fraud detection solutions;
• Understanding of databases and SQL for data retrieval;
• Knowledge of monitoring and alerting tools (e.g., Grafana, Kibana);
• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields;
• English — Upper-Intermediate.

Would be a plus:

• Strong background in e-commerce, fintech, or payments.

Working conditions:

• Remote work;
• 5-day working week, 8-hour working day, flexible schedule;
• All public holidays are days off;
• Vacation and sick leave are covered by the company.

We are looking for professionals to join our team and contribute to a cutting-edge ML enterprise project that is a combination of CoPilot and a bug-tracking system like JIRA. We have multiple open positions, and each role focuses on a specific area, such as time series analysis, recommendation systems, generative AI, or security.

Key Responsibilities:

• Generative AI: Fine-tune and deploy transformer models, optimize inference scaling, and work with generative techniques.
• Recommendation Systems: Develop collaborative filtering, content-based filtering, and hybrid recommendation models.
• Cloud Deployment: Utilize AWS, GCP, or Azure for scalable ML deployment.

Qualifications:

• Relevant experience in the ML field that aligns with the position you are applying for.
• Strong statistical and ML background.
• Hands-on expertise with modern ML frameworks and techniques.

Experience Requirements:

• Senior Roles: 4+ years in ML.

Preferred Skills (Depending on the Role):

• MLOps and automation of ML workflows.
• Expertise in NLP, Gen AI, and chatbot development.
• Familiarity with neural networks, including GRUs, LSTMs, and transformer-based models.
• Experience with statistical methods and RNN-based time series analysis.

What We Offer:

✅ Long-term employment.
✅ Paid vacation (20 working days) and sick leave.
✅ English courses.

This is an opportunity to work on impactful ML projects in a dynamic and innovative environment. Apply now and become part of our team!

Our Customer:

Our customer is a product company with a set of tools for risk scoring and preventing chargeback fraud.
 

Responsibilities:

• Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring;
• Identify, analyze, and implement solutions for fraud patterns and behavioral anomalies;
• Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy;
• Collaborate with product, engineering, and risk teams to implement fraud prevention strategies;
• Own projects end-to-end - balancing short-term wins with long-term strategy.

Required experience and skills:

• 4+ years of hands-on experience in fraud analytics, data science, or risk modeling;
• Hands-on experience with Python;
• Strong practical proficiency in SQL, MLOps;
• Experience with fraud-related data tools;
• Proven ability in anomaly detection, and graph-based fraud detection solutions;
• Knowledge of monitoring and alerting tools (e.g., Grafana, Kibana);
• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields;
• English - Upper-Intermediate.

Would be a plus:

• Strong background in e-commerce, fintech, or payments.

Working conditions:

• Remote work;
• 5-day working week, 8-hour working day, flexible schedule;
• All public holidays are days off;
• Vacation and sick leave are covered by the company.

Description

If you’re a talented Data Scientist looking to be part of a fast-growing innovative R&D team, shape the future of decision-making in business, work on cutting-edge technologies and vast amounts of global real-time data, affect billions of mobile users, and become an industry leader - then let’s talk! Our product is a mobile data platform that enables organizations to uncover insights and make data-driven decisions that enhance strategies and drive growth. We are seeking a Data Scientist to join our Data Science & Engineering team.

Requirements:

• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields;
• Experience in the AdTech industry;
• 6+ years as a Data Scientist - a strong background in ML concepts and models;
• Hands-on experience with Python, especially with data science ML libraries (regression & classification algorithms e.g. XGB or LGBM, recommendation system algorithms, etc.);
• Understanding of databases and SQL for data retrieval;
• Monitoring and alerting tools (e.g. Grafana, Kibana).

Advantage:

• Experience with relational (e.g. Vertica, VoltDB) and non-relational (e.g. MongoDB) databases;
• Experience with PMML.

Responsibilities:

• Analyze large and complex data to discover hidden patterns and  opportunities;
• Develop and own end-to-end highly scalable data pipelines;
• Develop state-of-the-art machine learning models, and algorithms and  build solutions in monetization fields;
• Provisioning data models for real-time (online) processing;
• Shape new data products, and constantly improve the existing  products;
• Collaborate with multiple teams including Product, BI, Analysts,  DevOps, R&D, and Marketing to lead and accomplish overall  solutions;
• Oversee a complete release to production including analyzing requirements, testing, monitoring and measuring results, multitasking, and quickly responding to critical issues.

Benefits:

• Help and support from our caring HR team;
• 20 days of vacation and 10 days of paid sick leave;
• The exchange of experience and work with talented colleagues;
• Last but not least - valuable compensation for your efforts.

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now looking for a Middle Data Scientist to change the way we deliver our solution to customers.
 

You could be a perfect match for the position if

You want to:

• Validate datasets to ensure data accuracy and consistency.
• Design proof-of-concept (POC) solutions to explore new approaches.
• Develop technical solutions by mapping requirements to existing tools and functionalities.
• Train models and create custom approaches for new domains.
• Troubleshoot data processing and model performance issues.

You have:

• 2+ years of experience in data science or a related field.
• Strong SQL skills for data manipulation and extraction.
• Proficiency in Python, with the ability to write modular and readable code for experiments and prototypes.
• A solid mathematical background, preferably in a Computer Science-related field.
• Expertise in scientific Python libraries, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch.
• Familiarity with Time Series Forecasting methodologies.
• Experience in statistical testing, including A/B testing.
• 1+ years working with tabular and multimodal data (e.g., combining tabular data with text, audio, or images).
• Upper-intermediate or higher English level.

Soft skills:

• Analytical mindset and critical thinking to solve complex problems.
• Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment.
• Business-oriented thinking, capable of translating complex models into clear business insights.
• Curiosity and a drive for continuous learning in the data domain.
• Strong team player, able to collaborate across cross-functional teams.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies.
• Remote-first ideology: freedom to operate from the home office or any suitable coworking.
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
• Regular performance and compensation reviews.
• Recurrent 1-1s and measurable OKRs.
• In-depth onboarding with a clear success track.
• Competera covers 70% of your training/course fee.
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
• 20 business days of sick leave.
• Partial medical insurance coverage.
• We reimburse the cost of coworking.

Drive innovations with us. Be a Competerian.

We are seeking a Senior Machine Learning Engineer to join us on a consultancy basis. Your primary responsibility will be to provide insights and guidance on state-of-the-art machine learning techniques, architectures, and real-world applications. This role is ideal for someone who enjoys discussing complex ML models, exploring innovative solutions, and staying ahead of industry trends.

We are a team of eleven data engineers, business intelligence consultants, and data scientists working together on data-related challenges within the data product team. As trusted partners to our customers, we design tailored end-to-end solutions, from building robust data infrastructures to delivering insightful analyses and compelling visualizations. Our team is committed to innovation—we actively explore new technologies and continuously refine our tool stack to ensure we deliver the most effective solutions. 

Beyond customer projects, we prioritize team growth and knowledge-sharing. Regular knowledge exchange sessions, mentoring, and agile practices form the foundation of how we work, fostering collaboration and continuous improvement. We are proud to embrace diversity, collaborating within an international team that brings together varied perspectives, experiences, and ideas to drive our success.

WHAT AWAITS YOU:

• In close collaboration with data engineers, business intelligence consultants as well as data science and analytics experts, you will design and implement robust data architectures and engineering solutions. 
• You will take on the technical leadership in (client) projects from conception to deployment, ensuring seamless integration of diverse data sources and the development of scalable data processing systems.   
• You will support the development of existing and new internal data products and open-source solutions.  
• In addition, you recommend (strategic) actions to our clients or their internal teams - always keeping high quality and client satisfaction in mind. 
• You proactively research and find new topics for our team and area of expertise which you develop into subject areas that extend our service portfolio in the long run. 
• Our Data Product team is growing and you will take on a Mentor role in the team, help to shape team structure and artifacts, while also driving the further development of our tool stack to be future proof.

WHAT YOU BRING ALONG:

• You have in-depth knowledge of Python, Django, SQL, database management systems and at least one cloud platform. You ideally have already worked with Snowflake, BigQuery, Databricks and/or technologies, such as Spark, Kafka or NOSQL databases. 
• You have a good understanding of communication between computer systems (TCP/IP, HTTP(S), etc.) and are used to working with Linux and Git.
• You were able to gather experience in designing infrastructure architectures and know how to align this with business needs.
• You really enjoy programming and working tool-independently in an agile work environment and prefer lean software with clean, maintainable code.
• You are proactive in taking ownership of responsibilities, whether consulting with clients, solving technical challenges, enhancing service offerings or fostering a culture of shared leadership by collaborating, mentoring colleagues, and driving strategic initiatives. 
• Within the team and when working together on organization-wide topics, we communicate in English - therefore, oral and written communication should be easy for you. 

We are looking for a Senior Data Scientist on behalf of our client – an early-stage Israeli startup revolutionizing the real estate investment space through AI and alternative data. The company is building an intelligent platform that helps investors identify high-return opportunities at the ZIP-code level using predictive analytics, risk modeling, and automated investment strategies.

This is a hands-on role where you’ll work directly with large-scale, unconventional data sources—from mobility signals to social trends—to build models that forecast property values, rental income, and market shifts before they become obvious to the broader market. You’ll collaborate with engineering and product teams to make data science a core driver of the platform’s success.

Key Responsibilities:

• Design and build predictive models for real estate pricing, rent forecasting, and investment potential at the micro-geographic level (ZIP code).

• Analyze and integrate alternative datasets such as location mobility, social indicators, and macroeconomic data to improve model accuracy.

• Develop, train, and validate machine learning models (XGBoost, linear regression, neural networks, time-series forecasting, etc.).

• Work closely with engineers to integrate models into the production environment.

• Build internal dashboards and data visualization tools to help investors make data-backed decisions.

• Contribute to shaping the overall data infrastructure and tooling.

• Collaborate with company leadership to ensure data insights are embedded in key business decisions.

Requirements:

• 5+ years of experience in Data Science, Machine Learning, or AI.

• Strong proficiency in Python (Pandas, NumPy, Jupyter) and data manipulation techniques.

• Solid SQL skills – writing optimized queries, complex joins, aggregations.

• Experience building and deploying supervised machine learning models.

• Knowledge of time-series forecasting and working with real-world, noisy data.

• Ability to communicate complex analytical insights to both technical and non-technical stakeholders.

• English at a high professional level.

Bonus Points For:

• Experience with geospatial data (GeoPandas, PostGIS, Kepler.gl).

• Background in real estate, urban economics, or working with financial/investment data.

• Familiarity with MLOps tools and best practices.

• Startup experience – ability to move fast and iterate with limited resources.

Requirements:

- Experience with Python scripting for data processing

- Experience or knowledge of RAG 

- Experience or knowledge with ranking and recommender systems 

- Experience with writing prompt engineering is preferable

- Experience with business analysis and content writing is preferable

- Curious, fast-learning, organized, responsible

Responsibilities:

- Design and develop data processing scripts

- Monitor and troubleshoot data processing pipelines to ensure reliability

- Write prompts for Large Language Models

- Design and implement RAG

- Design and develop ranking and recommender systems
- Analyze and understand user needs in order to produce templates for a content that our users want to consume

- Experiment with various prompt structures, formats, and phrasings to achieve desired outcomes in generative AI solutions

We are looking for a technical leader to drive our data initiatives and manage massive datasets. This role involves leading a team in data science, analytics, and engineering, while delivering scalable data solutions.

Key Responsibilities:

1. Team Leadership:
   Guide a cross-functional team and set the technical direction.
2. Data Solutions:
   Design and optimize data pipelines and ETL processes using Snowflake and DBT.
   Develop advanced analytics and machine learning models with Python.
   Create insightful dashboards and visualizations with Tableau.

3. Collaboration & Quality:
   Work across departments to ensure data quality, security, and actionable insights.

    

Qualifications:

• 7+ years of experience in data-centric roles.
• Hands-on expertise with Snowflake, Tableau, Python, and DBT.
• Strong leadership, problem-solving, and communication skills.
  What We Offer:
  Competitive salary, comprehensive benefits, and flexible work options.