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Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.

As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.

Key Responsibilities:

Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.

We are seeking a talented and experienced team manager to head our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, team mentoring, defining the technological strategy, and driving innovation in the field of AI Agents.

Key Responsibilities
As the Data Science Team Lead for Risk, you will be responsible for:

Technological and Strategic Leadership: Defining and implementing the Data Science strategy for the Risk domain, while identifying critical business and technological opportunities.
Hands-on Development: Actively working on the development, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud.
Team Management and Mentoring: Managing and guiding a team of talented Data Scientists, including work planning, professional development, providing mentorship, and contributing to talent acquisition.
AI Agents Innovation: Leading the team's efforts in the field of AI Agents within Risk, including architectural design, developing complex Agent Workflows, advanced Prompt Engineering, and developing rigorous Evaluation methodologies to ensure reliability and accuracy in production.
Cross-Functional Collaboration: Managing strategic relationships and collaborations with Engineering, Product Managers, Analysts, and other stakeholders to ensure solutions meet critical business needs.
Production Deployment: Ensuring Data Science solutions transition reliably, scalably, and efficiently from concept to production and making significant impact.

Required Senior Data Scientist
About the role:
As a Senior Data Scientist you will join our multidisciplinary AI team, composed of data scientists, data analysts and data engineers. This team is responsible for our strategic AI-enabled components dealing with classical and advanced audio signal processing, deep learning techniques, NLP and machine learning.
You will report to the Head of AI and work closely with Product, Business and R&D teams to support across-the-board decision making to execute company business goals.
Responsibilities:
Be an expert in your domain, drive execution and quality, guide, mentor and collaborate with your team members.
Be passionate and tech-savvy in data and data science domains with the ability to provide business context and shape data and data pipelines directions.
Ability to lead research and find solutions for complex problems.
Taking ownership and being responsible for leading the end-to-end delivery; starting from innovation, experimentation, and development and ending with deployment to production.
Build culture, trust, and working relationships that enable your team to influence product roadmaps that are driven by customer data.
Partner and collaborate with product, business data taggers, engineering, and other stakeholders to understand the business to shape our data strategy and AI roadmap and correlate it with business needs.
Lead continuous improvements in process and tools to drive quality and decision-making. Automate manual processing, CI/CD, MLOps, optimizing data delivery, re-designing infrastructure for better scalability.
Monitoring models performance in production, continuously working on methods to improve quality and performance.

As a Data Engineer , you will own the architecture and optimization of large-scale ETL processes that transform raw heavy-duty vehicle telemetry into production-grade intelligence. You will operate at the intersection of Big Data and AI, building scalable pipelines, enforcing data quality standards, and managing cost-efficiency for a system processing billions of time-series records. You will be a technical owner, collaborating directly with Data Scientists to ensure our fleet intelligence models run reliably in production.
What Youll Do
Architect and build robust ETLs and scalable data pipelines on Databricks and AWS.
Optimize high-throughput ingestion workflows for billions of time-series records, ensuring low latency and data integrity.
Engineer data validation frameworks and automated monitoring to proactively detect anomalies before they impact models.
Drive cost-efficiency by tuning Spark jobs and managing compute resources in a high-volume environment.
Transform raw IoT/telemetry signals into structured, enriched Feature Stores ready for Machine Learning production.
Define best practices for data engineering, CI/CD for data, and lakehouse architecture across the organization.

We are seeking an analytical, detail-oriented Senior Corporate Data Analyst with hands-on experience in a rapid-growth SaaS company or in an analyst role in Private Equity, Growth Equity, investment banking focused on high-growth SaaS companies.
You will bring deep domain expertise in financial and operational data analysis- with a particular eye on SaaS metrics-to build robust analytical frameworks that influence strategic decision-making.
Youll work closely with senior leadership and cross-functional teams, applying your expertise to transform complex datasets into clear, actionable insights. This role requires a performance-first mindset, excellent collaboration skills, and a willingness to leverage AI and data tools as central to your workflow to continually generate business value.
What you will be responsible for:
Deliver a rigorous, insight-driven analysis of company metrics, using advanced data slicing, cohorting, and trend identification to surface the most favourable, decision-grade view of the business.
Apply your prior experience analyzing SaaS and high-growth company data to analytics and reporting efforts.
Develop and maintain detailed company performance modules capturing SaaS metrics such as cohorts, NRR, GRR, CAC, LTV, and unit economics.
Ingest, clean, and aggregate data from multiple internal and external sources, turning messy datasets into clear, impactful insights.
Partner with C-level executives, product, finance, and operations teams to provide data-driven analyses that inform strategic planning and operational improvements.
Translate complex data into compelling narratives and presentations tailored to both technical and non-technical stakeholders.
Continuously improve data workflows, dashboards, and models, fostering a data-driven culture.
Utilize experimentation and iterative approaches, incorporating AI tools and modern data analytics best practices to enhance outputs.

We are looking for a Senior Data Scientist to lead strategic research initiatives focusing on our Auto loans asset class. This individual will be at the forefront of our companys research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsibilities
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists.
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory.

Were looking for a Senior Data Analyst to help ensure the quality, completeness, and integrity of our foundational data. Youll work closely with data engineers, product managers, and operations teams to monitor pipelines, evaluate new data sources, design performance metrics, and derive insights that improve our entity models and customer outputs.
This role is ideal for a highly analytical and independent thinker who enjoys working with complex data ecosystems and translating messy real-world data into actionable insights.
RESPONSIBILITIES
Data Quality & Metrics
Define and maintain KPIs and quality metrics for POI and chain data accuracy, coverage, and freshness.
Monitor large-scale ingestion and enrichment pipelines, identifying anomalies, data drifts, or source inconsistencies.
Operational Analytics
Design dashboards and tools to track data health, system performance, and SLA compliance.
Provide visibility into the performance of automated systems and manual processes across the Foundation domain.
Cross-functional Collaboration
Work with engineers to validate and optimize merge, enrichment, and geocoding logic.
Partner with product and operations to assess the impact of data changes on downstream systems and customer-facing products.
Exploration & Research
Evaluate new data providers, test hypotheses about data behaviors, and contribute to decision-making for third-party integrations.
Develop data-driven recommendations to improve POI modeling and chain linkage accuracy.

Required Backend Data Engineer
As part of the role you will have the opportunity to:
Build end-to-end development of data infrastructure features, scalable data processing, database interaction and integration with CI/CD.
Take part in expanding our core data platform solutions, build new pipelines from scratch that ingest and process data at scale.
Work across a rich stack of technologies from Apache Kafka, Apache Storm, NoSQL, and relational databases.
Analyze and optimize performance, scalability, and stability of our product environments.
Work closely with the data-science team to implement production grade pipelines based on AI research.

We are looking for a Senior Data Analyst to join our data team and serve as a key analytical partner to the business.
In this role, you will turn large-scale cloud usage data into insights that influence product decisions, customer value, and company growth.
This role goes beyond technical analysis. It requires strong business understanding and the ability to connect data to real-world outcomes.
As an independent function working closely with development teams, your insights will directly impact research quality, prioritization, and decision-making across the company.
Your Ownership Will Include:
Analyze data from cloud service providers and additional internal and external sources, with a clear focus on business and product impact.
Structure, clean, and organize unstructured and semi-structured data.
Investigate anomalous activity and assess product, customer, and business risks.
Translate complex analyses into clear, actionable insights for decision-makers.
Create concise reports that highlight trends, risks, and opportunities.
Define, track, and refine core product and business metrics.
Contribute to dashboards that support data-driven decisions across the organization.
Work closely with Product and Engineering teams as an independent analytical partner.
Operate autonomously with strong ownership, accountability, and attention to detail.

We are looking for a Senior Data Engineer to build and operate a multi-tenant analytics platform on AWS + Kubernetes (EKS), delivering streaming and batch pipelines via GitOps as a Platform-as-a-Service (PaaS).
Responsibilities:
Ingestion pipelines: Build and operate Flink / Spark streaming and batch jobs ingesting from Kafka, S3, APIs, and RDBMS into OpenSearch and other data stores.
Platform delivery: Provide reusable, multi-tenant pipelines as a self-service PaaS.
Workflow orchestration: Manage pipeline runs using Argo Workflows.
GitOps delivery: Deploy and operate pipelines via ArgoCD across environments.
IaC & AWS: Provision infrastructure with Terraform and secure access using IAM / IRSA.
Reliability: Own monitoring, stability, and troubleshooting of production pipelines.
Collaboration: Work with product, analytics, and infra on schemas and data contracts.

We are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization. The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with our business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.

we are looking for a Senior Data Engineer.
As a Senior Data Engineer you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there.
you are encouraged to think big and help out in other areas as well.
Key focuses:
Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders

We are seeking a highly motivated and experienced BI & Data Engineer to join our fast-growing Data team. Reporting to our Development Team Leader. You will be supporting the team on all Data, pipelines and reports. Help turn raw data into business insights. Managing and designing BI solutions, including ETL processes, Data modeling and reporting. Our BI & data Developer would also enjoy our future data technological stack like: Airflow, DBT, Kafka streaming, AWS/Azure, Python, Advanced ETL tools and more.
Responsibilities:
Gathering requirements from internal customers and designing and planning BI solutions.
Develop and maintain ETL/ELT pipelines using Airflow for orchestration and DBT for transformation
Design and optimize data models, ensuring performance, scalability, and cost efficiency.
Collaborate with BI developers, analysts, AI agents, and product teams to deliver reliable datasets for reporting and advanced analytics.
Development in various BI and big data tools according to R&D methodologies and best practices
Maintain and manage production platforms.