Junior Data Scientist

Assystem STUP employs 1500 engineers who provide support to clients in the transportation, urban development, decarbonised energy, and industrial and complex buildings markets. With its headquarters in Delhi, Assystem STUP also has a local presence throughout India with 9 offices spread across the country. Assystem STUP’s teams have already been involved in many projects such as the construction of Dassault factories in Nagpur, preliminary studies of future EPR nuclear reactors in India, the development of the road transport networks in Mumbai, and others.

While capitalizing on these strong assets, Assystem STUP in now enhancing its development within digital as a key to increase efficiency and optimize engineering and large project management. The aim to to build and structure a dedicated team to develop and deploy the set of tools that will define engineering of tomorrow, at the cornerstone between projects, digital world and engineering expertise. Exciting opportunity to join us at the very beginning of our digital journey and be a (key) part of the challenges of engineering of tomorrow!

About the Role

We are looking for a Junior Data Scientist to join our data and analytics team. This role is ideal for early-career professionals who are passionate about data, curious about solving real-world problems, and eager to learn and grow in a collaborative environment. You will work alongside experienced data scientists, analysts, and engineers to turn data into actionable insights.

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured data from multiple sources

• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies

• Build, test, and validate basic statistical and machine learning models under guidance

• Support data-driven decision-making by creating dashboards, reports, and visualizations

• Collaborate with cross-functional teams to understand business problems and data needs

• Document methodologies, assumptions, and results clearly

• Continuously learn and apply new data science tools, techniques, and best practices

• 
  Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field

• Basic knowledge of statistics, probability, and data analysis concepts

• Good Knowledge on Computer Vision, Natural Language Processing

• Proficiency in Python or R (e.g., pandas, NumPy, scikit-learn, or equivalent)

• Familiarity with SQL and relational databases

• Understanding of data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau)

• Strong analytical thinking and problem-solving skills

• Good communication skills and ability to explain technical concepts clearly

• Preferred / Nice-to-Have Skills

• Exposure to machine learning algorithms (regression, classification, clustering)

• Experience with version control systems (e.g., Git)

• Basic knowledge of cloud platforms or big data tools (e.g., Azure, AWS, Spark)

• Internship, academic projects, or hands-on experience in data-related roles

Will have to work from office only.

We are committed to equal treatment of candidates and promote, as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and our people’s ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future.