Data Scientist

We are looking for a motivated and analytical Data Scientist with 2–4 years of experience to join our growing data team. The ideal candidate should be comfortable working with large datasets, building predictive models and generating actionable insights. Experience or familiarity with the AEC industry is a strong plus, as the role involves working on data generated from engineering, construction and design workflows.

As a Data Scientist, you will play a key role in turning raw data into insights that support strategic decision-making. You will collaborate with cross-functional teams including software developers and domain experts. Your analytical models and tools will help enhance project performance, reduce risk and drive operational efficiency.

Key Roles and Responsibilities:

• Analyze large datasets to identify trends, patterns and actionable insights
  
• Design and implement machine learning and neural network models for predictions, classifications and clustering
  
• Collaborate with AEC domain teams to understand data requirements and propose technical solutions
  
• Clean, transform, and validate data using SQL, Python
  
• Support automation of machine learning (ML) workflows and model reporting pipelines
  
• Document data science processes and results for transparency and reproducibility
  
Create dashboards and visualizations using tools like Power BI, Tableau or Plotly

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Qualifications and Experience Required:

• BE/BTech/MTech degree in computer science, Data Science, Engineering, Statistics or a related field
  
• 2–4 years of hands-on experience in a Data Science or related role
  
• Strong programming skills in Python, and proficiency with SQL
  
• Experience with data science libraries (e.g pytorch, scikit-learn, pandas, NumPy, TensorFlow, XGBoost)
  
• Clarity with the concepts of Object-Oriented Programming (OOPs)
  
• Good understanding of statistics, machine learning techniques and data modeling
  
• Experience with data visualization tools such as Power BI, Tableau or Matplotlib
  
• Familiarity with the AEC industry and tools like Revit, Navisworks, BIM 360 or project scheduling data is a plus
  
Strong communication skills and ability to present data findings to non-technical stakeholders

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Compensation:

The selected candidate will receive competitive compensation and remuneration policies in line with qualifications and experience. Compensation will not be a constraint for the right candidate.

What We Offer:

• A fulfilling working environment that is respectful and ethical
  
• A stable and progressive career opportunity
  
• State-of-the-art office infrastructure with the latest hardware and software for professional growth
  
• In-house, internationally certified training division and innovation team focusing on training and learning the latest tools and trends.
  
• Culture of discussing and implementing a planned career growth path with team leaders
  
• Transparent fixed and variable compensation policies based on team and individual performances, ensuring a productive association.