About Arrive

Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide.

The Role

Arrive is seeking a Data Scientist with a strong technical background to join our growing Data Science team in the AI & Analytics Experience. The purpose of this role is to deliver data science products and impactful solutions across the organization, playing a key role in advancing Arrive's data capabilities and ensuring data insights are effectively integrated into decision-making.

How To Make An Impact

- Contribute to end-to-end data science projects, from initial problem definition through to production deployment.
- Perform rigorous Exploratory Data Analysis (EDA) using statistical testing, distribution analysis, correlation studies, and visualization to uncover patterns and inform modeling strategy.
- Partner and collaborate closely with cross-functional teams on joint initiatives to deliver business value.
- Support the identification and resolution of technical hurdles in developing scalable data science solutions, collaborating with senior team members on best practices.
- Take shared ownership of developed solutions, ensuring their ongoing maintenance, reliability, and optimization.




- Champion data literacy across Arrive by supporting non-data professionals to develop their analytical capabilities.
- Prototype Generative AI solutions using LLMs, RAG (Retrieval-Augmented Generation), embeddings, vector databases, prompt engineering etc.
- Stay curious by continuously learning and implementing modern data science trends and technologies to foster team-wide innovation.

Tech Stack

- Python (Numpy, Pandas, Scikit-learn, TensorFlow/PyTorch), SQL, AWS, Snowflake, DBT, Looker, Streamlit.

Your Background

- At least 3 years of experience working as a Data Scientist or in a highly analytical software engineering role.
- Proficiency in working with databases and SQL for data manipulation and analysis.
- Experience working with cloud environments (e.g., AWS, GCP, Snowflake, Airflow) and familiarity with modern data workflows.
- Positive understanding on MLOps concepts CI/CD pipelines, model deployment and experiment tracking.
- Solid knowledge of software development best practices, including version control and clean coding principles.
- Good understanding on the concepts like LLM architecture, RAG, fine tuning, evaluation framework for generative AI systems.
- Excellent communication skills, with the ability to translate technical concepts for business stakeholders in English.
- This role is based in Bengaluru, India.

(ref:hirist.tech)

📌 Arrive - Data Scientist - AI & Analytics (Bengaluru)
🏢 Arrive
📍 Bengaluru