Data Scientist

Arcadis is the worlds leading company delivering sustainable design engineering and consultancy solutions for natural and built assets.

We are more than 34000 people in over 30 countries dedicated toimproving quality of life. Everyone has an important role to play. With the power of many curious minds together we can solve the worlds most complex challenges and deliver more impact together.

Role description:
We are looking to hire a bright smart and passionate Data Scientist who shall be working with our Intelligence
practice team. The selected candidate would work with our global and local teams supporting Project Managers
& Product Leads in analytical solutions for complex problems and integrating those solutions and Business
Intelligence tools with the application softwares.

Role accountabilities:
The candidate shall have knowledge and experience in handling huge data sets developing complex data visualizations
establishing data models in Python R performing data analysis for drawing interesting trends and interpretations.
The responsibilities shall be related to identifying the right data based on the requirements defined gathering the
sources of raw data filtering cleaning structuring of the data and performing sound statistical and mathematical
analysis/exploration on structured and unstructured data. This shall include building visualisations in Tableau/
PowerBI along with data modelling in Python R TensorFlow etc.
The candidate is also responsible for acquiring primary and secondary data from different sources and creation &
upkeep of Data Governance and Data Quality framework to ensure accuracy and timeliness of all data updates.
The candidate shall be guided by a team of experts who have worked extensively in our Intelligent Transportation
Systems and Intelligence practice software developers engineers and database experts.

Qualifications & Experience:

• 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

Why Arcadis

We can only achieve our goals when everyone is empowered to be their best. We believe everyones contribution matters. Its why we are pioneering a skills-based approach where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

Youll do meaningful work and no matter what role youll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark on your career your colleagues your clients your life and the world around you.

Together we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality Diversity Inclusion & Belonging

We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women minorities and people with disabilities are strongly encouraged to apply. We are 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.