Job Description
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
Qualifications and Experience Required :
BE / BTech / MTech degree in computer science, Data Science, Engineering, Statistics or a related field2–4 years of hands-on experience in a Data Science or related roleStrong programming skills in Python, and proficiency with SQLExperience 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 modelingExperience with data visualization tools such as Power BI, Tableau or MatplotlibFamiliarity with the AEC industry and tools like Revit, Navisworks, BIM 360 or project scheduling data is a plusStrong communication skills and ability to present data findings to non-technical stakeholdersCompensation :
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 ethicalA stable and progressive career opportunityState-of-the-art office infrastructure with the latest hardware and software for professional growthIn-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 leadersTransparent fixed and variable compensation policies based on team and individual performances, ensuring a productive association.Requirements
1. Analyze large datasets to extract insights and trends 2. Build ML models (prediction, classification, clustering) using Python 3. Work with AEC domain teams to define data solutions 4. Clean, transform, and validate data (SQL, Python) 5. Automate ML workflows and reporting 6. Create visualizations using Power BI, Tableau, or Plotly 7. Document processes for reproducibility