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.

Our approach to hybrid working allows for up to 40% of time working from home and 60% working in the office, please contact a member of the recruitment team to discuss further Firm Description Hogan Lovells is one of the leading global law firms. Decisions in these areas will be made only by reference to the requirements of the job and shall not be influenced by any consideration of age, disability, ethnic origin, gender identity, religion, sex or sexual orientation.

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.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. This may occur in the form of images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. Responsibilities - You will be responsible for resource planning for the operations delivery teams within AI Data Service and Operations to ensure the right resources are in the right place, at the right time, thereby maintaining operational efficiency. - Attention to details - comfortably handling large sets of data yet being able to spot granular details. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.