At Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting-edge business intelligence to unlock their full revenue potential. Backed by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 850+ teammates span 35 countries and represent 34 nationalities. At Lighthouse, we’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀 What you will do The Hotels Network has joined Lighthouse! And we are expanding internationally. As a Data Scientist, you will develop and implement cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) techniques that power our market-leading products. You’ll work across a wide range of ML/AI domains, including user behavior prediction, NLP, LLMs, computer vision, time-series forecasting, and causal inference. Your work will directly influence key product features used by tens of thousands of hotels and millions of travelers around the world. Examples of projects you’ll work on include: - Oraculo Product – Build predictive systems to forecast user behavior, enabling personalized experiences and boosting hotel engagement and conversion. - AI-Driven Web Content Analysis – Leverage NLP to analyze content across 20,000+ hotel websites, providing actionable insights to optimize the user journey. - AI-Powered Personalization Tools – Use LLMs to launch recommendation engines that automatically configure personalized web tools for each property, maximizing direct booking effectiveness. Where you will have impact Your contributions will have a direct impact on the growth and results of The Hotels Network. By applying your machine learning expertise, you’ll enhance the personalization and performance of our platform, driving value for thousands of hotels globally. Your work will influence product decisions, improve customer experiences, and shape the future direction of our data-driven innovations. About our team Our Data Science team is at the core of our innovation. We combine deep technical expertise with real-world impact to deliver AI-powered products that lead the market in personalization and performance. With access to a unique dataset of millions of daily user sessions across 20,000+ hotel websites, we develop high-value innovations in ML/AI domains including: - User behavior prediction - NLP - LLMs, RAGs, and agentic workflows - Recommenders - Computer vision - Time series forecasting - Causal inference We are a collaborative, ambitious, and creative team, eager to develop solutions that make a tangible difference for our clients. What's in it for you? - Flexible working environment: 100% remote from Spain - Flexible time off: Autonomy to manage your work-life balance. - Collaborative team: High-bar, friendly, creative, and passionate colleagues. - Career development: Workshops, frameworks, tools, training, and processes to realize your full potential. - Impactful work: Shape products relied on by 75,000+ users worldwide. - Competitive compensation: Proactively maintained to value your work. - Referral bonuses: Earn rewards for bringing in new talent. Who you are - Bachelor’s degree in a quantitative field such as Computer Science, Mathematics, Physics, Engineering, or similar. - 3+ years of industry experience applying machine learning techniques. - Strong technical skills in Python and core ML libraries (pandas, numpy, scikit-learn, TensorFlow/Keras or PyTorch, matplotlib, seaborn, FastAPI). - Proven experience in end-to-end data science project execution — from ideation and planning to implementation, evaluation, and delivery. - Strong theoretical and practical understanding of Machine Learning and statistics. - Hands-on, resourceful, self-motivated, and creative attitude. Nice to have: - Experience with Airflow DAGs, Apache Kafka, AWS, Docker, Kubernetes, Linux, Git, and CI/CD pipelines. - Familiarity with managing and processing large datasets. - Hands-on experience with Deep Learning, deploying RAGs and agentic workflows in production. - Understanding of production best practices: code reviews, testing, documentation, and long-term maintenance. - Master’s Degree in a relevant field is a plus. Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. We actively encourage applications from individuals with disabilities and are dedicated to providing reasonable accommodations throughout the recruitment process and during employment to ensure all qualified candidates can participate fully. Our commitment to equality is not just a policy; it's part of our culture. If you share our passion for innovation and teamwork, we invite you to join us in shaping the future of the hospitality industry. At Lighthouse, our guiding light is to be an equal opportunity employer, and we encourage individuals from all walks of life to apply. Not ticking every box? No problem! We value diverse backgrounds and unique skill sets. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you. We value the unique perspective and talents that you bring, and we're excited to see how your light can shine within our team. We can't wait to meet you and explore how we can grow and succeed together, illuminating the path towards a brighter future for the industry. #LI-Hybrid

Description and Requirements MGCC GG 10.2 - Data Scientist II Position Title: MGCC GG 10.2 - Data Scientist II Function, Responsibility Level: Reports to (Responsibility Level): GG 11 or above Supervises: Location: Global Grade: 10 Cost Center (85 series): Complexity: OSTG PID/s Load Mapping: Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science Role Value Proposition: Data Scientist plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical skills, machine learning. It is an individual contributor role, expected to independently function Job Responsibilities • Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data• Perform exploratory data analysis, feature engineering • Monitor, evaluate and improve model performance.• Ensure model development follows quality, security , compliance, explainability and responsible use of AI guidelines,• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights) Knowledge, Skills and Abilities Education Bachelor's degree in computer science, information technology or equivalent educational qualification Technical Skills and Experience • 5-8+ years of relevant experience • Python • Statistics, hypothesis testing, Feature engineering, Modeling• Machine learning frameworks: SCikit-learn, TensorFlow, Pytorch, • Natural language processing (NLP): spacy, Transformers, OCR• Generative AI: Large language Models, prompt engineering• Communication skills, analytical skills, structured problem-solving skills., • Partner, Stakeholder engagement experience Good to Have (Preferred) • Azure ML or cloud AI/ML Services• ML Ops About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! #BI-Hybrid

Job Description Zoetis is seeking a Senior Data Scientist to support global pharmacovigilance signal management supporting the team to translate complex safety information into clear, decision-ready insights for PV leadership and key stakeholders. This role will help strengthen routine safety monitoring, improve the consistency and usability of PV insights, and enable timely, high-quality communications aligned with business needs. The role will also partner with internal digital/automation teams to expand analytics capabilities and improve how Zoetis synthesizes animal health data to better understand product performance in real-world use. Duties and Responsibilities include but not limited to: Advance signal detection and early alerting by leveraging new technologies to reduce false positives and strengthen trust in results through reproducible analysis approaches and controls. Standardize signal review outputs (evidence summaries, trend context, case-series characterizations) and ensure consistent governance across diverse data sources. Maintain end-to-end signal tracking and lifecycle documentation so conclusions, decisions, and actions remain transparent and traceable. Continuously improve PV data quality (completeness, consistency, de-duplication, coding, timeliness) and deliver “easy-to-digest” views (dashboards, scorecards, automated reports) to increase transparency into safety trends and data reliability. Enable leadership-ready insight delivery through a regular cadence of updates and ad hoc escalations, with summaries focused on what changed, why it matters, and what’s next; contribute to structured quarterly reviews for key products. Partner with PV leadership and digital/automation teams to evolve PV technology and signal management capabilities—translating needs into clear requirements and acceptance criteria, supporting testing and adoption (training, feedback loops), and ensuring continuity with minimal disruption. Education (Recommended) MS, PhD in life sciences/DVM with 7+ years with applied data analytics and handling and interpretation of multimodal data MS or PhD in Data Science, Biostatistics, Epidemiology, Computer Science, or a related quantitative field with experience or training in veterinary/animal health, safety surveillance, or regulated life sciences. Required / strongly preferred - Senior-level experience delivering analytics in a quality-controlled environment (health, life sciences, regulated industry, or comparable). - Demonstrated success producing leadership-facing analytics deliverables (dashboards, recurring review materials, executive summaries). - Strong technical skills in Python and/or R, SQL, reproducible workflows (e.g., Git), and data visualization tools (e.g., Power BI/Tableau). Nice to have - Experience supporting enterprise system upgrades/migrations and analytics comparability/validation work. - Familiarity with pharmacovigilance concepts and signal management workflows. Full time Regular Colleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.

• Support global pharmacovigilance signal management • Translate complex safety information into clear insights for PV leadership • Advance signal detection and early alerting using new technologies • Standardize signal review outputs and ensure consistent governance • Maintain signal tracking and lifecycle documentation • Improve PV data quality and deliver transparent views to increase reliability • Enable leadership insight delivery through regular updates