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Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the company Data team might be what you're looking for.
Working in data is about finding what nobody else knew they lost. We want investigators, people who adapt, think flexibly, and know how to bring leadership onboard. From scientists to engineers to visualization experts, our data team is made for those who find the missing piece and act on it. So if curiosity is your default setting and making it useful your priority, the company Data team might be what you're looking for.
What am I going to do?
Data analysis focal for business & product-related teams
Proactively provide insights that will lead the business growth
Ability to model/simulate new features & opportunities, estimated impact
Build and maintain the teams reporting set and dashboards
Manage multiple tasks in a fast-paced working environment
Conduct deep-dive analyses with actionable recommendations and conclusions.

Are you a talented Data Scientist with expertise in image analysis and text reading? Are you passionate about leveraging cutting-edge technologies to drive innovation in the field of electronic component inspection? Look no further!

Responsibilities
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.

Required Data Science Group Lead
Tel Aviv, Israel
About us
A global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, we provide comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy.
About the Role:
The Group Lead is a critical leadership position within. This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is our largest product).
This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity and executive presence necessary to effectively collaborate with and present to company leadership.
Responsibilities:
Leading, mentoring and managing a multidisciplinary group comprising Data Scientists, Data Analysts and Optimization Specialists.
Defining and executing overall strategy, ensuring alignment with the companys financial goals and product roadmap.
Oversighting of the group's projects, initiating new ideas and proactively improving the companys abilities.
Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
Directing the team in performing sophisticated data analytics to identify trends, market anomalies, and segmentation opportunities impacting profitability.
Leading the development and implementation of optimization algorithms and strategies aimed at maximizing loan portfolio performance, minimizing risk, and increasing overall profitability.
Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

we are looking for a AI Algorithm Tech Lead.
This is a role in core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities:
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.

We are looking for a Senior Data Scientist to lead strategic research initiatives . This individual will be at the forefront of our 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.

We are looking for a Lead Data Scientist to lead strategic research initiatives. This individual will be at the forefront of our 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 in the Auto loans research team as well as across the research department
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.

Required BI Team Lead
Tel Aviv, Israel
About us:
A global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, we provide comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy.
About the Role:
The successful BI Team lead, will play a key role in managing and growing a team responsible for delivering impactful data products and solutions.
As a BI Team Lead, you will oversee the personal and professional development of your team, while also being the main point of contact for client-facing data initiatives. Youll drive data strategy and contribute to new initiatives that support cross-company objectives. This role involves collaborating with product managers, business stakeholders, and leadership to design, develop, and maintain scalable analytics solutions. You will also enhance the companys understanding of key business metrics by building automated tools and insightful visualizations in a rich data environment.
You will also be responsible for integrating AI and machine-learning capabilities into BI solutions, including developing automation processes and AI agents to support decision-making.

a central part of the R&D department is seeking a versatile Senior Data Engineer to take part in leading data vision using a lake-house architecture, and building high-scale solutions for handling and consuming the different data assets of the company.
In this role youll go beyond traditional boundaries, taking on full product responsibilities - from conceptualization and architecture to design, maintenance, and continuous development. You will collaborate closely with stakeholders across the company to ensure our solutions effectively meet their needs.
The ideal candidate will have strong data engineering capabilities, along with software development skills including understanding of designing and managing AWS cloud infrastructure and strong knowledge of different data architectures, methods and tools.
Responsibilities:
Design and development of scalable, reliable, and secure data infrastructure and build ETL pipelines that handle diverse clinical data for research. Write production SQL, Spark jobs and craft schemas that evolve gracefully as research and production questions change.
Automate releases with CI/CD and Infrastructure as Code.
Optimise throughput, latency and cloud cost to meet research timelines at large scale.
Develop and maintain high-quality, scalable, and efficient code while fostering a culture of continuous improvement through regular retrospectives and knowledge sharing.
Take ownership of the full development lifecycle, including requirement gathering, design, implementation, testing, deployment, and ongoing maintenance.
Collaborate with cross-functional teams, including data scientists, data analysts, product managers, regulatory teams, and other developers, to drive the development of new tools and features that support mission.
Explore and adopt new technologies and frameworks that can enhance the capabilities of the Data-Nexus team and the overall data projects .

As a Senior Data Engineer in our R&D team, you aren't just moving bytes; you are the architect of the world's most comprehensive food-intelligence engine. You will take full ownership of our ingestion pipelines, transforming massive volumes of unstructured web data into the actionable insights our customers rely on. This role requires a builder who can navigate complex anti-bot measures, design resilient distributed systems, and ensure our data remains flawless as we scale.

Key responsibilities:

Own end-to-end architecture and delivery of our web-scale data ingestion pipelines, from resilient scraping through transformation and storage.
Design and maintain scrapers that reliably bypass anti-bot measures and handle dynamic content at scale, adapting quickly as sources change.
Leverage AI coding assistants (Claude Code, Codex) to accelerate development, optimize pipeline logic, and ship faster within titling R&D cycles.
Build and manage distributed, cloud-based data pipelines that support real-time analytics and AI model deployment.
Proactively identify and resolve data quality issues before they reach production, ensuring accuracy and consistency across all sources.
Architect scalable API and system designs that connect pipeline decisions directly to business value and consumer-trend accuracy.
Monitor, troubleshoot, and continuously improve data workflows to keep the engine reliable as we scale.

We are looking for a brilliant Data Engineer- an independent, logical thinker who enjoys solving complex problems and building scalable data solutions. You will own and evolve the data foundations that power Product, Finance, Operations, and Business teams. Working closely with diverse stakeholders, Analysts, and R&D teams, you will serve as a technical partner, translating complex business challenges into robust data models, pipelines, and infrastructure. You should be able to translate business and data requirements into scalable data pipelines and data models, integrating multiple internal and external data sources using the most appropriate technologies. Beyond building pipelines, you will improve data quality, modernize existing data assets, automate manual workflows, and help create a clean, reliable, and scalable data ecosystem that supports the company's growth.
Roles and Responsibilities:
Design and build end-to-end data pipelines - From defining source structures and integrating APIs to delivering clean, trusted datasets that enable analytics, reporting, and operational workflows.
Translate business needs into scalable data solutions based on business priorities and the product roadmap, understand technical requirements, and deliver purpose-built pipelines and tools.
Act as the technical partner for Product, Finance, Operations, and R&D teams, translating business needs into scalable data models, pipelines, and internal tools while ensuring reliable, trusted data across the organization.
Write high-quality, maintainable code, while following best practices and leveraging modern data tooling and CI/CD principles.
Drive data quality and reliability - Monitor, validate, troubleshoot, and continuously improve data quality and pipeline reliability across the data platform.

Were looking for a Data & Analytics Team Lead to manage and grow our data team and own the data layer behind our AI. Youll lead a team of data analysts responsible for neural-network model analysis, model performance tracking, customer-facing and internal BI. Youll act as both the people manager and the technical lead for the team, setting technical direction while staying hands-on.
Youll thrive in this role if youre passionate about turning data into better AI products, enjoy solving complex analytical problems, and like working at the intersection of Data, Analytics, and Artificial Intelligence.
Responsibilities:
Lead the data strategy supporting AI model development, evaluation, and continuous improvement
Define KPIs and monitoring frameworks for AI model performance.
Analyze NN model outputs, build and maintain model-tracking and performance-evaluation workflows
Drive close calibration with the Algo, Product, and Data Engineering teams to align data definitions, pipelines, and metrics
Stay hands-on with SQL, Python, BI tooling, and the modern data stack
Build and own agentic data workflows - designing the context, tooling, and data access that let AI agents reliably query, analyze, and act on company data

We are looking for a Senior Data Scientist to join AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics.
In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning
the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method
often has to be invented for the problem.
What You'll Do:
- Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal.
- Work across the team's core research areas - risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes
into reliable predictive signal.
- Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations
grounded in that understanding.
- Design approaches from first principles when off-the-shelf methods don't fit the data.
- Build rigorous evaluations and own the result in production, not just the notebook.
- Document research clearly so findings are reproducible, auditable, and compound over time.

As a Data Engineer, you will:
Infrastructure & Pipelines
Own and maintain our data architecture end-to-end: S3, Databricks compute and administration, pipelines, logging, and our internal tooling
Keep the platform healthy and reliable - the data we serve feeds product decisions and customer-facing AI, so correctness and uptime matter
Integrate new data sources and maintain existing ones, handling the messy realities (format changes, awkward upstream systems like NetSuite, schema drift)
Performance & Cost
Identify bottlenecks and optimize for both compute and cost - parallelize workloads, tune table and cluster settings, and keep our Databricks spend sane as we scale. We use AI coding tools heavily to move fast here, but the engineering judgment is yours
Data Access & Reliability
Build and maintain the semantic layer that exposes our data reliably and consistently to analysts and AI tools, so the same question always returns the same trustworthy answer
Implement PII handling and row- and column-level security so sensitive data stays protected everywhere it's consumed.

We're hiring a Director of Data to lead our company's data function and build our data into a
real competitive moat. You'll report to the CPO, manage and grow our lean data team, and
partner across the leadership table. The role is roughly 70% Build & Operate, 30% Lead &
Influence in year one, shifting toward 50/50 as the team scales.
About us
we are an insurance marketplace and aggregator. We connect thousands of
independent insurance agencies with a wide network of carriers, MGAs, and wholesalers. We
sit at a vantage point neither agents nor carriers have on their own, and turning that asymmetric
view into proprietary intelligence is one of the most important things we'll do over the next
several years.
What you'll do
Lead and grow our data team. Set direction, raise the bar, make their job better.
Make self-service analytics real across our company, so every leader gets to their
answers without queuing behind the data team.
Create a contracts-based partnership with the engineering teams producing source data.
Build a core proprietary data asset that powers our internal and partner-facing
experiences and anchors real conversations with our carriers.
Own the data infrastructure roadmap and the question of how we evolve our data
engineering investment over the next 12-24 months.
Define how AI gets leveraged across our data stack and analytical workflows.
Be the data partner the leadership team actually wants to call.