Senior Data Scientist

We’ve signed up to an ambitious journey. Join us!

As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn’t a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let’s grow better, together.

The Role

Arrive is seeking a Senior 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).

As a Senior Data Scientist, you will occupy a key senior individual contributor position, leading high-impact projects, mentoring other data scientists, and guiding technical architecture. Reporting to the Manager of Data Science within the DNA function, you will partner closely with key senior stakeholders across Sales, Marketing, Finance, and Distribution. You will have a broad scope to have an impact by supporting sales via lead optimization, identifying fraudulent accounts, creating advanced parking insights (occupancy prediction, free-to-pay simulator, enforcement coverage, etc.), and providing tools and insights to guide the organization's next best actions.

How to make an impact

• Lead the end-to-end lifecycle of ML projects - from problem framing, data exploration, feature engineering, and model development to deployment and monitoring.
• Partner with cross-functional leadership on joint strategic initiatives to deliver measurable business impact.
• Identify, address, and resolve architectural and technical hurdles in developing scalable data science solutions.
• Drive architectural decisions regarding pipelines, model registries, or feature store development ensuring scalability, cost efficiency and reliability.
• Raise the technical bar of the team by actively mentoring other data scientists and promoting engineering best practices.
• Stay curious by exploring and implementing cutting-edge data science technologies to foster continuous team innovation.
• Translate complex data insights into practical business strategies and lead technical discussions with senior stakeholders.
• Mentoring junior data scientists and partnering with other DNA leads to nurture a data-driven culture and improve data literacy throughout Arrive.
• Design and prototype Generative AI solutions using LLMs, RAG (Retrieval-Augmented Generation), embeddings, vector databases, prompt engineering, and fine-tuning (LoRA/PEFT)

About you

You are an expert, collaborative, and strategically minded professional who is passionate about shaping the future of urban mobility. You possess excellent technical leadership skills, with a track record of driving complex projects and raising the standards of those around you. You thrive in a fast-paced environment where priorities can shift, utilizing your problem-solving skills to guide your team through uncertainty. You are a natural mentor who communicates complex ideas clearly and empathetically, building strong relationships with cross-functional stakeholders.

Your background

• At least 5 years of experience working as a Data Scientist, with a proven track record of leading multi-month projects with measurable business impact.
• Strong command of classical ML techniques - regression, classification, ensemble methods, clustering, dimensionality reduction, time-series forecasting, causal inference and optimization techniques.
• Strong expertise in Python and data science libraries, along with deep proficiency in SQL and cloud architectures and services (e.g., AWS - SageMaker, S3, Lambda, ECR or Snowflake or Airflow).
• Proven experience mentoring other data scientists, raising technical standards, and advocating for software development best practices.
• Demonstrated ability to drive architectural decisions (such as pipelines, model registries, or feature stores) and represent data science at a senior stakeholder level.
• Solid software engineering foundations or an advanced degree (Masters/PhD) in a relevant field (e.g., machine learning or mobility).
• Experience with geospatial data (e.g., GeoPandas) or big data tools (e.g., PySpark) is highly preferred.
• Hands-on experience with MLOps - model deployment, CI/CD pipelines, monitoring, experiment tracking and containerization (Docker, Kubernetes).
• Practical experience with Generative AI / LLMs - prompt engineering, RAG pipelines, embeddings, fine-tuning, and evaluation frameworks for GenAI 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.