Senior Consultant - Data Science

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

We are more than 36000 people in over 70 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.

Qualification & Experience:

• Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies.
• Technical Responsibilities
  • Excellent proficiency in Python with a strong focus on developing advanced skills.
  • Extensive exposure to NLP and image processing concepts.
  • Proficient in version control systems like Git.
  • Indepth understanding of Azure deployments.
  • Expertise in OCR ML model training and transfer learning.
  • Experience working with unstructured data formats such as PDFs DOCX and images. O
  • Strong familiarity with data science best practices and the ML lifecycle.
  • Strong experience with data pipeline development ETL processes and data engineering tools such as Apache Airflow PySpark or Databricks.
  • Familiarity with cloud computing platforms like Azure AWS or GCP including services like Azure Data Factory S3 Lambda and BigQuery.
• Tool Exposure: Advanced understanding and handson experience with Git Azure Python R programming and data engineering tools such as Snowflake Databricks or PySpark.
• Data mining cleaning and engineering:Leading the identification and merging of relevant data sources ensuring data quality and resolving data inconsistencies.
• Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure AWS or GCP.
• Data Analysis: Executing complex analyses against business requirements using appropriate tools and technologies.
• Software Development: Leading the development of reusable versioncontrolled code under minimal supervision.
• Big Data Processing: Developing solutions to handle largescale data processing using tools like Hadoop Spark or Databricks.

Principal Duties & Key Responsibilities:

• Leading data extraction from multiple sources including PDFs images databases and APIs.
• Driving optical character recognition (OCR) processes to digitize data from images.
• Applying advanced natural language processing (NLP) techniques to understand complex data.
• Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance.
• Designing and managing scalable cloudbased data architectures using Azure AWS or GCP services.
• Collaborating closely with business domain experts to identify and drive key business value drivers.
• Documenting model design choices algorithm selection processes and dependencies.
• Effectively collaborating in crossfunctional teams within the CoE and across the organization.
• Proactively seeking opportunities to contribute beyond assigned tasks.

Required Competencies:

• Exceptional communication and interpersonal skills.
• Proficiency in Microsoft Office 365 applications.
• Ability to work independently demonstrate initiative and provide strategic guidance.
• Strong networking communication and people skills.
• Outstanding organizational skills with the ability to work independently and as part of a team.
• Excellent technical writing skills.
• Effective problemsolving abilities.
• Flexibility and adaptability to work flexible hours as required.

Key competencies / Values:

• Client Focus: Tailoring skills and understanding client needs to deliver exceptional results.
• Excellence: Striving for excellence defined by clients delivering highquality work.
• Trust: Building and retaining trust with clients colleagues and partners.
• Teamwork: Collaborating effectively to achieve collective success.
• Responsibility: Taking ownership of performance and safety ensuring accountability.

People: Creating an inclusive environment

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 skillsbased 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 nondiscrimination 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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