Data Scientist
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Are you someone who gets excited by turning complex data into meaningful insights Do youthrive at the intersection of technology, analytics, and real-world business impact If you loveworking with large datasets, building smart solutions, and collaborating with a team ofpassionate specialists - this could be your next great adventure!
About the Role:
As a Data Scientist within our Non-Life Actuarial Reserving team, you will be at the heart of data-driven decision-making. Your work will directly support actuarial reserving processes - helpingexperts set reserves, generate insights, and communicate results to key stakeholders. You'llbring your technical expertise to life through data transformation, visualisation, and applicationdevelopment, while also contributing to exciting transformation projects that shape the future ofour systems and processes.This is a role where your curiosity, initiative, and technical skills will truly make a difference.
Key Responsibilities
About the Team:
You will be part of the Non-Life Actuarial Reserving Data & Analytics team - a dynamic,collaborative group spread across multiple global locations. We are dedicated to deliveringinnovative data and analytics solutions, driving process optimisations, and bringing technologyexpertise to the forefront of actuarial reserving. Our team works hand-in-hand with reservingactuaries to help them set reserves with confidence, produce compelling presentation materials,and share meaningful insights with their stakeholders. We are a team that values curiosity,ownership, and continuous improvement - and we'd love to have you on board!
About You:
You are a proactive, detail-oriented professional who takes ownership of your work and is alwayslooking for ways to improve. You manage your time well, stay on top of deadlines, and canprioritise effectively even when juggling multiple tasks. You communicate clearly and confidently- whether you're presenting findings to technical colleagues or explaining complex dataconcepts to non-technical stakeholders. Above all, you are committed to continuous learning andbring a growth mindset to everything you do.
We Are Looking for Candidates Who Meet These Requirements:
These Are Additional Nice to Haves:
Our company has a hybrid work model where the expectation is that you will be in the office atleast three days per week.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Job ID: 152298595
Skills:
object detection , Deep Learning, Tensorflow, Git, Pytorch, MLops, Opencv, Image Processing, Keras, Python, Computer Vision, Performance Optimization, Transfer Learning, image segmentation, Model Fine-Tuning, ML Model Evaluation, Image Classification
Skills:
Natural Language Processing, UNIX, Deep Learning, Tensorflow, Pytorch, MLops, Linux, Databricks, Python, Computer Vision, AI security compliance, RNNs, Azure cloud ecosystem, transfer learning, prompt engineering, LangGraph, transformer architectures
Skills:
tokenization , Machine Learning, Natural Language Processing, SAS, Data Modeling, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, NLP based n-grams methodology, Data Analysis, AI techniques, statistical models, fuzzy matching, Sanctions Screening, phonetics, name-matching, similarity scoring, R
Skills:
Tensorflow, Hive, Hadoop, Pytorch, Docker, Kubernetes, Python, Sql, Deep Learning, GenAI, LLMs
Skills:
BigQuery, Machine Learning, Predictive Analytics, Sql, Azure Data Factory, Gcp, Databricks, Azure Machine Learning, Azure, Python, customer analytics, Vertex AI, Statistical Modeling
