Data Scientist

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. This role offers a unique opportunity to leverage a modern data stack (including AWS, Snowflake, and DBT) and empower teams with self-service analytics (through Looker and Streamlit).

This is an individual contributor position reporting to the Manager of Data Science within the DNA function. The team is based in Bengaluru, and key stakeholders include Sales, Marketing, Finance, and Distribution partners.

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.

About you

You are a collaborative, curious, and driven professional who is excited about solving complex urban mobility challenges. You thrive in a dynamic, fast-paced environment and are skilled at managing shifting priorities with a focus on real-world impact. You are highly analytical, with a natural inclination to dive deep into data to uncover meaningful insights, and you possess a strong growth mindset – always seeking to learn and develop your skills.

You enjoy working in a team-first environment where sharing knowledge and educating others is celebrated. You communicate with empathy, clarity, and respect, helping to shape our inclusive team culture.

Your background

● At least 3 years of experience working as a Data Scientist or in a highly analytical software engineering role.

● Strong hands-on experience on Python and its data science ecosystem (for example Numpy, Pandas, Scikit-learn and TensorFlow/PyTorch).

● 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.

● Good 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.

● A Software Engineering background or an advanced degree (Masters) in a relevant area (e.g., mobility or Machine Learning) is a plus.

● 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

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. Arrive delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space.

It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone. Travel is more than a journey, it’s how you Arrive.