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Engaged Employer

ARCADIS

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4.2

based on 221 Reviews

1 ARCADIS Data Scientist Job

Graduate Data Scientist

Arcadis Consulting India Pvt. Ltd

4.2

based on 221 Reviews

0-1 years

Navi Mumbai

1 vacancy

Graduate Data Scientist

ARCADIS

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Digital Marketing Data Analysis Python Data Mining Natural Language Processing CCTV Monitoring

+ 3 more

Job Description

The role sits within our global business area Resilience. We work to protect our natural environment and water resources, while powering our world for future generations. Around the world, we re feeling the effects climate change, rapid urbanization, loss of biodiversity. The rate at which we re seeing large-scale, unforeseen events such as floods and wildfires, is becoming more frequent. We are here to protect our natural environment and water resources, while powering our world for future generations.

Role accountabilities:

Assisting in data extraction from multiple sources, including PDFs, images, and databases.
Supporting optical character recognition processes for digitizing data from images.
Assisting in understanding data through natural language processing.
Contributing to the development of statistical models to support business decisions and monitoring their performance.
Collaborating with business domain experts to derive business value drivers.
Documenting model design choices, algorithm selection processes, and dependencies.
Collaborating effectively in cross-functional teams within the CoE and the organization at large.
Proactively seeking opportunities to contribute beyond assigned tasks.

Qualifications & Experience:

Fresh graduates or candidates with 0-1 year of experience as a Python Developer/ Data Scientist
Technical Responsibilities -
- Proficiency in Python, with a focus on developing foundational skills.
- Exposure to NLP and image processing concepts.
- Familiarity with version control systems like Git.
- Basic understanding of Azure deployments.
- Aptitude for OCR, ML model training, and transfer learning.
- Willingness to work with unstructured data formats such as PDFs, DOCX, and images.
- Familiarity with data science best practices and the ML lifecycle.
Tool Exposure: Basic understanding of Power BI, KNIME, Git, Azure, Python, and R programming.
Data mining, cleaning and engineering: Assisting in identifying and merging relevant data sources, testing data quality, and resolving data inconsistencies.
Visualization: Supporting the visualization of data and modeling results using standard libraries.
Data Analysis : Assisting in executing analyses against business requirements using appropriate tools and technologies.
Software Development : Contributing to the development of reusable, version-controlled code under the guidance of senior team members.