Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

C3.ai, Inc. (NYSE:AI) is a leading provider of Enterprise AI software for accelerating digital transformation. The proven C3 AI Suite provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The core of the C3 AI offering is an open, data-driven AI architecture that dramatically simplifies data science and application development. As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Suite (c3.ai/customers/). You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation.

At MNTN, we've built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform, originally coded by our President and CEO, and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We're looking for people who naturally want to do more, own more, and make an impact in their careers – and we're seeking someone to be part of our next stage of growth. As a Lead Data Scientist on our Targeting team, you will guide the analysis, methodologies, prototypes and evolution of our audience targeting system.

On behalf of our client an innovative company providing AI services for the marine industry, we are currently looking for a knowledgeable Lead Data Scientist to join the data analytics team and become the Data Science Lead. As a Lead Data Scientist, you will lead a team of data scientists, data-engineers, machine-learning engineers and software engineers with the primary goal to maintain and utilize data assets. You will be a part of an innovative environment, where you will be able to gain more knowledge in new technologies and take the next step in your career. Your opinions and ideas will be heard, and your daily contribution will make a difference for thousands of customers globally. On top of that, a competitive package depending on your experience will be a bonus to this great experience, along with private insurance, extra benefits and the ability to work hybrid-remotely.

An award-winning Fintech organisation with a dedicated team of 500 professionals across the globe. With more than 15 offices across the world, we are a people centric company which prides itself on being customer focused. As we continue the journey of scaling up our business, we are passionate about expanding our multicultural and diverse workforce. We offer excellent opportunities to develop your career path and provide you with the tools and support to be successful in your journey with us. We are looking for a Lead Data Scientist that will support our data driven culture, leveraging the ever-expanding range of data sources we have available to improve our strategic decisions, from exploring our competitive landscape to understanding the way customers use our service.

Lately, I've been meeting a lot of people who are interested in making a career shift into data science. One of the first things they always ask me is, "what does a typical day look like?". I've seen a lot of articles that give an overview of the skills and tools Data Scientists use, but I don't see very many that provide real examples of daily tasks. While every day is different, these tasks represent a typical day for me as a Senior Data Scientist at a large financial institution. I typically start my work day around 8:30 am after I roll out of bed at 8:20.

Employment Hero is an Australian tech unicorn - valued at over $1 billion. Our world-class software is the easiest way for small to medium-sized businesses to manage HR, payroll, employee engagement, and benefits. We've grown 100% year on year since inception, and expanded globally in late 2020. We now service over 80,000 businesses and we will continue to grow rapidly in 2022 and beyond. We believe in distributed employment and take a Remote First approach with our people.

Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals. We're one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Since our launch in 2012, we've been on a mission: to make digital identification simple and secure for everyone, and everything. In that time, we've expanded constantly, and been joined by nearly 400 incredible people, all with the same vision. We've grown in other ways too – we raised $35m in our Series A funding round, and launched our game-changing authentication platform. Our technology is now being used by hundreds and thousands of users worldwide, including some of the world's leading financial institutions. And this is just the beginning.