Harmonic Security, a cutting-edge startup with joint headquarters in the UK and US, is leading the charge in data protection for the future. Your keen eye and meticulous approach will ensure data accuracy and completeness, a vital foundation for robust and reliable models. A desire to work in a fast-paced, innovative environment. Been in front of customers and/or end-users to build a complete understanding of the problem domain. Shared Success: Everyone holds stock options, where we all share in the success of the company.

Bottomline is a global leader in business payments and cash management, with over 30 years of experience and moving more than $10 trillion in payments annually. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.

You will work closely with the Data Engineering team to ensure the deployment, integration, and scaling of these models within our data infrastructure. Experiment with a variety of algorithms and techniques to enhance model accuracy and performance. Collaborate with the data engineering team to guarantee that clean, well-structured data is available for model training and evaluation. Engage in rigorous testing and validation processes to ensure models are ready for scaling and integration across various business applications. Collaborate with the data engineering team to ensure that the necessary infrastructure and pipelines are in place to support machine learning initiatives. Make data-driven recommendations for model improvements and adapt to changes in data or business needs. Familiarity with AWS cloud services, particularly those relevant to data science and machine learning. Proficiency in data wrangling, feature engineering, and developing scalable machine learning solutions. Knowledge of deep learning techniques and their application to real-world problems.

Our Compliance Data Strategy aims to encourage data-led decisions to mitigate regulatory risk, improve regulatory and customer outcomes, and present these insights effectively to stakeholders Our goal is to bring more value from a business perspective through data insights, as well as a significant uplift in data analytics in our assurance and control testing, which now needs a dedicated individual to drive this work. Use AI/ML and data science techniques to reduce the need for manual work in the compliance space, including analysis of structured numerical data and application of LLMs and similar tools to unstructured data. An understanding of the importance of team culture, and a demonstrable ability to act as a role model to maintain a culture of curiosity, support and honesty. We've made a promise to each other and every employee; to focus on sustainable impact, to care about each other's wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future.

Alternative Risk Transfer Solutions The goal of the Alternative Risk Transfer Solutions team is to design and deliver tailored risk financing solutions that respond to the needs and strategy of large and sophisticated clients. 1-2 years of experience in the insurance or financial industry, or further related academic experience. The ability to break down a project and develop code to solve complicated problems without a known solution. An appreciation of how to apply statistical methods to real data (e. We design and deliver solutions that manage risk, optimize benefits, cultivate talent, and expand the power of capital to protect and strengthen institutions and individuals.

Covering more than 50,000 companies, ESG Book's product includes ESG and climate data, portfolio and company-level scores, and analytics tools. Radical Transparency - we are open, challenging, and constructive for the advancement of our mission.   Requirements About the role We are looking for a Data Scientist with a strong interest in climate to support our climate product suite. Become an owner of our existing climate methodologies and models. This belief and approach apply to all aspects of employment, including recruitment and selection, opportunities for training, development and promotion and our terms and conditions of engagement.

Who we're looking for We are looking for a Senior Data Scientist (Pricing) to be a pivotal contributor to our Pricing, Tooling, and Modelling team. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Our client base includes more than three-quarters of the world's leading insurers across both life and property/casualty insurance. The Role Closing Date: 30th September 2024 A data science role in Insurance Consulting is stimulating, challenging, exciting and extremely rewarding, and provides you with an opportunity to showcase where your expertise can add real value to our business and to our clients' businesses We require colleagues who are technically and mathematically minded, with the ability to solve complex and challenging commercial problems using innovative and proportionate approaches. We pride ourselves in remaining ahead of the game in our market - we need to know the next client issue or driver of change before it happens - and so we invest heavily in product and service development.

Company Description LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our team leverages LinkedIn's unique data to better understand economic trends around the world while also utilizing economic approaches to analyze member behavior on LinkedIn. With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data scientist to have an impact and transform your career. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. You will design and develop core business metrics, create insightful automated dashboards and data visualizations to track them and extract useful business insights. 1+ years of industry experience 1 + years experience with SQL or relational database query performance. Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences.

· Updated knowledge and LLM capabilities in developing own RAG and LLM extensions Evaluation · Review, supports and provides best practices for data analysis and modeling techniques.