Data Scientist

3 tygodni temu

Kraków, Lesser Poland Endava Pełny etat
Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a Data Scientist to join our growing analytics and AI team. This role will focus on developing Automated Valuation Models (AVM), predictive analytics for urban trends, customer acquisition models, and entity resolution systems.

Responsibilities:

  1. Develop Automated Valuation Models (AVM) for residential and commercial properties using machine learning and statistical modeling.
  2. Conduct data-driven market analysis to assess property trends, demand forecasting, and price fluctuations.
  3. Optimize valuation methodologies using structured and unstructured real estate data.
  4. Design predictive models to analyze urban development trends, economic indicators, and real estate investment opportunities.
  5. Develop customer acquisition models to enhance data-driven marketing strategies and business expansion.
  6. Collaborate with urban planners, real estate analysts, and investment teams to translate data insights into actionable recommendations.
  7. Implement sustainability-focused models to assess the environmental impact of real estate projects.
  8. Integrate climate, energy efficiency, and ESG (Environmental, Social, and Governance) factors into property valuation frameworks.
  9. Design an entity resolution system to unify and link disparate real estate datasets for improved data quality and analytics.
  10. Work closely with data engineers to ensure robust data pipelines, feature engineering, and data preprocessing workflows.
  11. Manage large-scale datasets from public records, geospatial data, financial reports, and IoT real estate sources.
  12. Work closely with business stakeholders, real estate analysts, and financial teams to align data science initiatives with company objectives.
  13. Present insights, findings, and models to executives and cross-functional teams in an understandable and actionable manner.
Qualifications

Required Qualifications:

  1. Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
  2. 4+ years of experience in data science, machine learning, or predictive analytics.
  3. Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for data analysis and modeling.
  4. Experience with real estate valuation models, predictive analytics, and econometric modeling.
  5. Strong knowledge of SQL, NoSQL, and big data technologies for handling large-scale datasets.
  6. Familiarity with geospatial data analysis (GIS), time-series forecasting, and NLP for text-based property insights.
  7. Experience working with cloud platforms (AWS) and MLOps best practices.
  8. Strong analytical and problem-solving skills with attention to detail.
  9. Ability to translate complex data insights into business-friendly recommendations.
  10. Effective communication and stakeholder management skills for collaboration with technical and non-technical teams.
  11. Ability to work on multiple projects simultaneously and drive strategic data initiatives.
Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

  1. Finance:
    Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
  2. Career Development:
    Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  3. Learning Opportunities:
    Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  4. Work-Life Balance:
    Hybrid work and flexible working hours, employee assistance programme;
  5. Health:
    Global internal wellbeing programme, access to wellbeing apps;
  6. Community:
    Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.
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