{"id":2171940,"url":"https://alion.io/job/grid-dynamics-poland-senior-data-scientist","title":"Senior Data Scientist","company":{"id":1625,"name":"Grid Dynamics","domain":"griddynamics.com","url":"https://alion.io/company/grid-dynamics-poland","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-10-09T11:38:07Z","employer_posted_date":null,"last_verified_at":"2026-10-09T11:38:07Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Role Overview :\n\nWe are looking for a Senior Data Scientist to develop advanced analytical and machine learning solutions that support financial planning and business decision-making. The role involves working with complex datasets, building predictive models, identifying meaningful patterns, and translating analytical findings into actionable business insights.\n\nKey Responsibilities :\n\n- Analyze large and complex datasets to identify trends, correlations, business patterns, and opportunities for improvement.\n\n- Develop and optimize statistical models and machine learning algorithms to support forecasting, prediction, and data-driven decision-making.\n\n- Perform data preprocessing, feature engineering, data transformation, and validation to ensure data quality and model reliability.\n\n- Build analytical solutions to support financial planning, performance analysis, and business forecasting.\n\n- Evaluate model performance using appropriate metrics and techniques, and continuously improve accuracy and efficiency.\n\n- Write and optimize complex SQL queries to extract, transform, and analyze data from large databases.\n\n- Apply Generative AI and large language models to selected analytical use cases, including natural-language data querying and automated insight generation.\n\n- Explore text-to-SQL, Retrieval-Augmented Generation (RAG), and knowledge graph techniques to improve access to financial data and analytical insights.\n\n- Develop data-driven visualizations and communicate findings through clear, actionable recommendations.\n\n- Collaborate with finance, engineering, and business stakeholders to understand requirements and deliver analytical solutions.\n\n- Deploy, monitor, and maintain machine learning models and analytical applications in cloud environments.\n\n- Follow appropriate model validation, monitoring, and lifecycle management practices to ensure reliable performance in production.\n\nRequired Skills:\n\n- Bachelor's or master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.\n\n- Strong hands-on experience in data science, statistical analysis, and machine learning.\n\n- Proficiency in Python, SQL, and relevant data science libraries and frameworks.\n\n- Experience working with large datasets, data preprocessing, feature engineering, and exploratory data analysis.\n\n- Knowledge of predictive modeling, forecasting techniques, model evaluation, and performance optimization.\n\n- Strong SQL skills, including complex query development, query optimization, and database performance tuning.\n\n- Experience translating business problems into analytical models and data-driven solutions.\n\n- Understanding of data visualization and communicating analytical results to technical and non-technical stakeholders.\n\n- Familiarity with cloud-based data and AI application deployment.\n\n- Exposure to Generative AI, NLP, and LLM-based applications.\n\nPreferred Qualifications :\n\n- Experience in financial services, financial planning, forecasting, or financial analytics.\n\n- Familiarity with text-to-SQL techniques, RAG architectures, and knowledge graphs.\n\n- Experience integrating hosted or self-hosted large language models into analytical workflows.\n\n- Understanding of MLOps practices, model deployment, monitoring, and lifecycle management.\n\n- Exposure to AI-driven data visualization and automated insight generation.\n\n- Knowledge of techniques for improving AI application performance, latency, and operational costs.\n\nWhat We Offer :\n\n- Opportunity to work on advanced data science and AI projects.\n\n- Collaboration with a motivated and technically strong team.\n\n- Competitive salary and flexible working arrangements.\n\n- Medical insurance and sports benefits.\n\n- Corporate social events.\n\n- Professional development opportunities.\n\n- Well-equipped office.\n\nSkills\nData Science, Python, SQL, Machine Learning, Generative AI, Data Scientist, ETL, LLM, 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