Data Scientist

Arcadis

Data Scientist supporting Project Managers and Product Leads with analytical solutions for complex problems. Working with data visualization tools and establishing data models in Python, R and TensorFlow.

Posted 5/12/2026full-timeHyderabad • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLOpen SourceOraclePostgresPythonSQLTableauTensorflow

About the role

Key responsibilities & impact

Work with our global and local teams supporting Project Managers & Product Leads in analytical solutions for complex problems
Integrating those solutions and Business Intelligence tools with the application softwares
Handling huge data sets, developing complex data visualizations, establishing data models in Python, R
Performing data analysis for drawing interesting trends and interpretations
Identifying the right data, based on the requirements defined
Gathering the sources of raw data, filtering, cleaning, structuring of the data
Performing sound statistical and mathematical analysis/exploration on structured and unstructured data
Building visualisations in Tableau/ PowerBI along with data modelling in Python, R, TensorFlow
Acquiring primary and secondary data from different sources
Creation & upkeep of Data Governance and Data Quality framework to ensure accuracy and timeliness of all data updates

Requirements

What you’ll need

Strong analytical and creative thinking skills
Thorough knowledge of Statistics, distributions, modeling techniques, related tools to analyze large sets of data to build statistical/econometric models
Hands on experience on AI/ML/DL with deep understanding of basic concepts behind them
The candidate should be able to handle descriptive & predictive data analytics
Working knowledge of developing MIS report formats and Dashboards
Hands-on experience in data analytical & visualization tools such as R, SPSS, Tableau/ Power BI
Knowledge and experience with any open source tools in data analytics and integrations of them is beneficial
Knowledge and working experience in connection with databases such as SQL/ Oracle/ Postgres, etc. and ETL frameworks.
Knowledge and experience of Python, R, R Shiny or data modelling tools like Tensor Flow etc.
Knowledge and experience with in building data models such as ANN, GA etc.
Good to have experience on cloud applications (Azure, AWS, etc.)
Good professional proficiency in English
Good documentation/ writing and communication skills
Willing to work across time zones with global teams
Should be willing to explore and learn new skills
Take up work and deliver under pressure respecting deadlines

Benefits

Comp & perks

We can only achieve our goals when everyone is empowered to be their best.
We believe everyone's contribution matters.
Dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.

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Hard Skills & Tools

data analysisdata visualizationstatistical analysisdata modelingmachine learningdeep learningpredictive analyticsdescriptive analyticsdata governancedata quality

Soft Skills

analytical thinkingcreative thinkingcommunication skillsdocumentation skillsteam collaborationadaptabilitytime managementproblem-solvingattention to detailwillingness to learn