Data Science Intern
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Job Summary
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.
Role description:
We are looking for an enthusiastic Bachelors or Masters student to join our data and AI team as a Data Science this role you will help develop and optimize data-driven solutions build machine learning models and deploy them to production. You will work closely with data engineers machine learning engineers product teams and stakeholders to transform data into actionable insights and intelligent systems.
Role accountabilities:
Data Preparation & Analysis: Collect clean and pre-process structured and unstructured data for modeling and analysis Perform exploratory data analysis to identify patterns trends and anomalies.
Model Development & Evaluation: Design implement and train machine learning models for predictive and classification tasks. Evaluate model performance using appropriate metrics and optimize for accuracy and efficiency.
Engineering & Deployment: Collaborate with data engineers and machine learning engineers to integrate models into production environments. Contribute to building scalable pipelines for data ingestion feature engineering and model deployment.
Collaboration & Documentation: Work closely with product teams to understand business requirements and translate them into technical solutions. Document processes models and findings clearly for both technical and non-technical audiences.
Qualifications & Experience:
Currently enrolled in a Bachelors or Masters program in Computer Science Data Science Statistics Mathematics or a related field.
Strong interest in data science and AI with a willingness to explore emerging tools and technologies.
Eagerness to learn and adapt quickly in a fast-evolving AI landscape.
Basic understanding of machine learning concepts and data science fundamentals (e.g. data preprocessing model basics evaluation metrics).
Familiarity with Python and common data science libraries.
Ability to work collaboratively and share learnings with the team.
Good communication and collaboration skills.
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 we take equality and inclusion seriously and hold ourselves to account for our actions. 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 and affirmative action employer. Women minorities people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race creed color religion national origin sex age disability marital status sexual orientation gender identity citizenship status disability veteran status or any other basis prohibited by law.
Required Experience:
Intern
Key Skills
- Campaigns
- Abinitio
- AutoCAD 3D
- Hardware & Networking
- Customer Support
- Arabic
About Company
Arcadis is the leading global design & consultancy firm for natural and built assets. We are more than 27,000 people, in over 70 countries, who are dedicated to improving quality of life. We do so by developing innovative solutions to create liveable cities, to establish a people-cent ... View more
