A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities.

This is a strategic leadership role combining people management, hands-on problem-solving, cross-functional collaboration, and ownership of data-driven innovation across the organization.

Responsibilities

Lead and mentor a global team of Data Scientists.

Define and execute the company's Data Science strategy.

Drive the development of advanced machine learning, optimization, and forecasting solutions.

Partner closely with Product, Engineering, Customer Success, and executive leadership.

Translate complex business challenges into scalable analytical solutions.

Support customer-facing initiatives and strategic engagements when needed.

Establish best practices for experimentation, model evaluation, and performance measurement.

Act as a key stakeholder in shaping the company's AI vision and roadmap.

As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

Were hiring a Validation data Scientist to join a leading Fintech company and work on the validation of Machine Learning -based credit models. Contract: Temporary position until the end of the year, with an option to extend. Location: Tel Aviv, on the train line. Work model: Hybrid - 2 days from home per week.
?What will you do Validate ML-based credit models, assessing performance, data quality, robustness, and conceptual soundness. Challenge model assumptions and propose alternative approaches when needed. Analyze model strengths and weaknesses and provide practical recommendations for improvement. Generate insights and analyses to support data -driven decisions. Prepare thorough model validation documentation in accordance with regulatory standards. Support ongoing monitoring and improvement of predictive models.

We are looking for an experienced, driven, and detail-oriented Senior Collections & AR Specialist to join our CFO Office.

As part of the Billing team, you will report to the Billing Director and take ownership of our global collections operations. You will work directly with customers and collaborate closely with Finance, Sales, Customer Success, Account Management, and other cross-functional teams to ensure timely payments, resolve complex billing and payment issues, and identify opportunities to improve processes and drive operational efficiencies to support the companys cash flow performance.

This is a hands-on role for someone who enjoys building strong customer relationships, solving problems, and continuously improving processes in a fast-paced global SaaS environment.


What Youll Do

Own and manage the day-to-day global collections process across our customer base.

Drive collections efforts for strategic and complex customer accounts.

Monitor accounts receivable and proactively follow up on outstanding and overdue balances.

Communicate directly with customers to resolve payment delays, disputes, and billing-related issues.

Identify at-risk accounts and take timely action to prevent overdue balances.

Independently manage customer escalations and complex collection cases.

Manage AR-related activities, including payment allocations, credits, refunds, invoice adjustments, receipts, and credit memos.

Serve as a key point of contact for customers regarding invoices, payments, and account balances.

Partner with Sales, Customer Success, and Account Management teams to resolve customer issues and accelerate collections.

Collaborate with the Accounting team on accounts receivable activities and month-end processes.

Track, analyze, and report on collections activity and accounts receivable performance.

Generate, maintain, and regularly update Accounts Receivable Aging Reports and other collections-related reporting.

Identify opportunities to improve collections processes and increase operational efficiency.

Maintain accurate and up-to-date customer account records across relevant systems.

Medison offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond for the benefit of the patients we serve. We are a dynamic, fast-paced company operating in over 25 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you want to make a difference in people's lives, we invite you to join us! The Senior Manager, Commercial FP&A oversees the financial results & budget activities of Medison’s Specialty IL, monitor and consolidate the financial information and produces relevant reports as well as deliver key financial forecasting, along with insightful performance reporting and analysis, while engaging various stakeholders in the company. The Senior Manager, Commercial FP&A will report to the Director, FP&A Business Partner, partnering with the GM for Specialty IL, supporting the decision-making process with analysis and insights.

Responsibilities:
Planning and Analysis:
* Oversee and manage the continued development of the Budgeting infrastructure, Financial Forecasting, Operating Plan, and Modelling tools.
* Support the development of the “Long Range Plan”, taking the lead on some parts of it, developing Business cases for the new business/ opportunities.
* Prepare detailed analysis, trends, and KPI presentations for key stakeholders.
* Capture business dynamics through the monitoring of Non-economic Business Drivers and explain the impact of their evolution on the Business KPI (Revenues and Margins). Business partnering:
* Developing a Decision Support System to help Senior Leadership make better-informed decisions to steer the Business.
* Financial business partner to the senior management and commercial teams by providing insights, helping with building the right KPIs, and measuring results.
* Budget and monthly Forecast (LE) – develop and monitor
* Analysing sales and profitable measures, and OPEX by comparing actual, forecast, and budget,
* Support partnership relationships, providing data and performance analysis to relevant partners for QBR and ad-hoc presentations.

City:
Petah Tikva

We are looking for a Director, Business Operations and Travel to lead budget control, cross‑organizational operational initiatives, and full ownership of the global travel function within Global Operations.

What you will do
Own and lead budget control across the entire Commercial Division, including ongoing monitoring, analysis, adjustments, and close collaboration with Finance and FP&A.
Drive and continuously improve methodologies and tools for project‑based budgeting and budget tracking across the organization.
Support and enable senior managers by providing a holistic financial and operational view, helping them focus on execution and strategic priorities.
Act as a central focal point for cross‑functional operational initiatives, serving as a project owner for internal, organization‑wide projects.
Own and manage the global travel domain, including travel policy, governance, systems, vendors, and professional leadership of travel coordinators worldwide.
Define, track, and manage KPIs for the Global Operations group.
Prepare materials and presentations for quarterly business reviews and internal management forums.

we are looking for a Financial Revenue Specialist to join our Finance team.
 What Youll Do

Perform daily financial activities and work closely with the team
Responsibility for operating the commission system; including system process management, operation and monitoring, production of reports, and data analysis.
Provide ongoing support for commission calculations, resolve inquiries and exceptions, and maintain continuous communication with the Global Sales team.
Ensure there is an executed plan for each sales employee prior to commission payment
Examination and improvement of compensation work processes, including writing and implementing new processes and procedures
Assist and support in monthly, quarterly and annual closing accounting processes

Risk Analyst - Temporary Position
Key Responsibilities:
Risk Monitoring and Analysis
Conducting analysis based on benchmark reports, Key Risk & Compliance Indicators and, data reports..
Supporting the divisional Risk & Compliance managers to analyze and provide follow-up reporting: Remediation & Monitoring.
Managing standard Risk data structure (e.g., manage risk data mapping, correlation analysis).
Operation of the ERM System (user management, reports, monitoring, etc.)
Reporting package - Collecting data from some business units, performing quality checks, analysing trends, and comparing against previous periods.