37 data scientist jobs

Simplify payments to improve everyone’s life More than an app, Satispay is a great group of creative, innovative, curious, enthusiastic people united by a bold mission: to build the future of payments in Europe! We created a mobile payment network to revolutionize how people think about money, by creating a direct connection between consumers and merchants. We do it smart every day while being responsible for the impact of our choices. We believe in creating value for our network through constant collaboration and hard work. If you want to know more about us, give a look here: www.satispay.com Join us as a Senior Data Scientist. What you will be doing We are looking for an exceptional Senior Data Scientist with experience and a strong expertise in Machine Learning methods and technologies, who is comfortable working in an agile but architecture-led environment. You will be responsible for analyzing large and complex datasets, and conceiving predictive models and...

About Revolut People deserve more from their money. More visibility, more control, more freedom. And since 2015, Revolut has been on a mission to deliver just that. With an arsenal of awesome products that span spending, saving, travel, transfers, investing, exchanging and more, our super app has helped 35+ million customers get more from their money. And we're not done yet.   As we continue our lightning-fast growth,‌ two things are essential to continuing our success: our people and our culture. We've been officially certified as a Great Place to Work™ in recognition of our outstanding employee experience! So far, we have 6,000+ people working around the world, from our great offices or remotely, on our mission. And we're looking for more. We want brilliant people that love building great products, love redefining success, and love turning the complexity of a chaotic world into the simplicity of a beautiful solution. About The Role We approach Data Science at Revolut...

Who We Are Provenir is a global fintech company with offices across North America, the UK, and Singapore. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you! What You’ll Do The Provenir AI team is responsible for all things data, analytics, and ML/AI at Provenir . The team consists of Cloud Architects, Data Engineers, Software Engineers, Data Scientists, ML Engineers and Program Management specialists. It is our team's mission to disrupt longstanding players in the value chain by building a distributed AI/ML...

Do you love to analyse data and create valuable insights? Do you love saving and investing? Do you love to work in a fast-paced ambitious international scale-up? Well then, please, keep reading. There’s a big chance you and Peaks are a perfect match! Let us introduce ourselves first. About Peaks We’re Peaks, a fast growing, innovative Dutch fintech scale-up on a mission to help 1 million Europeans build wealth with investing and feel better about their financial future. Since the launch of our app in November 2017 we have grown to one of the largest investment platforms in The Netherlands and Germany and serve more than 100.000 customers. We serve these customers with a team of 40 very ambitious talents. To help Peaks fulfil its mission and growth ambitions, we are looking for a (Marketing) Data Scientist. What you will be doing As our (Marketing) Data Scientist, you will look into our growth challenges from a data perspective and help to transform data into valuable...

Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Scientist to join our rapidly expanding team. The successful candidate will leverage data-driven semantic models to forecast and enhance the client journey. This role is a unique opportunity to contribute to a growing company by helping us understand our clients better and predict their journey, ultimately driving business growth and client satisfaction. Join a high-caliber team and contribute to its success with your passion, hard-work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies and bonds, as well as Exchange Traded Derivatives (Futures & Options). The Tickmill Group was established in 2014, and employs over 280 individuals through its...

Liquidity is a high-growth global fintech company, based in Tel Aviv, NYC, Singapore, London, Abu Dhabi, and Dnepro. Harnessing the power of machine learning and cutting-edge technology, we are reinventing the trillion-dollar credit underwriting industry. We are introducing the first-ever, real-time, and no-code global credit rating system. If you are a bright, out-of-the-box thinker, and love coming up with solutions for real-life big-data problems, and have expertise in Large Language Models and Time Series Analysis, we are looking for you! We are looking for an outstanding Senior Data Scientist to join the team and revolutionize how investment is done. You’ll be harnessing the power of machine learning models and advanced mathematical techniques to develop the first-ever real-time, no-code corporate credit score platform. You Will: Research of state of the art generative AI models Define data collection plan and requirements Build models from POC to production-ready...

Role purpose Are you passionate about delivering real value to an organization using advanced techniques in data science & ML? We are looking for a talented data scientist to work in our Data Science team. The role presents an opportunity for you to partner with stakeholders across all areas of the business including marketing, risk, customer services and quants, to deliver impactful data products using state of the art machine learning techniques. What You Will Do Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify opportunities for data science that add value to the business. Advance the use of machine learning within IG by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems and automatic insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Build...

We’re looking for a talented and driven Product DS to join us. You will be part of our analytics team and work closely with our Data infra, Product, R&D teams to identify customer needs, develop strategies for product improvement, and monitor product performance. As the first Product DS , you will lead our efforts to improve our knowledge on Fireblocks network but not only. Responsible for Analyzing market trends to help us make informed decisions about our products and how our customers interact. Responsibilities: Data Collection and Preparation - Collect, clean, and preprocess social network data from various sources. Collaborate with data engineers to ensure data pipelines are efficient and reliable. Continuously monitor developments in social network analysis, data science, and machine learning. Network Analysis - Apply graph theory and network analysis techniques to model and analyze social networks. Identify key influencers, communities, and...

Simplify payments to improve everyone’s life More than an app, Satispay is a great group of creative, innovative, curious, enthusiastic people united by a bold mission: to build the future of payments in Europe! We created a mobile payment network to revolutionize how people think about money, by creating a direct connection between consumers and merchants. We do it smart every day while being responsible for the impact of our choices. We believe in creating value for our network through constant collaboration and hard work. If you want to know more about us, give a look here: www.satispay.com Join us as a Senior Data Scientist. What you will be doing We are looking for an exceptional Senior Data Scientist with experience and a strong expertise in Machine Learning methods and technologies, who is comfortable working in an agile but architecture-led environment. You will be responsible for analyzing large and complex datasets, and conceiving predictive models and...

About Revolut People deserve more from their money. More visibility, more control, more freedom. And since 2015, Revolut has been on a mission to deliver just that. With an arsenal of awesome products that span spending, saving, travel, transfers, investing, exchanging and more, our super app has helped 30+ million customers get more from their money. And we're not done yet. As we continue our lightning-fast growth, we believe that two things are essential to continuing our success: our people and our culture. So far, we have 6000+ people working around the world, from our great offices or remotely, on our mission. And we're looking for more. We want brilliant people that love building great products, love redefining success, and love turning the complexity of a chaotic world into the simplicity of a beautiful solution. About The Role We approach Data Science at Revolut the same way that we approach everything else – with class, logical thinking and lots of style ? Let’s...

Get set to revolutionize the financial world! As the skilled and experienced Data Scientist you are, you'll be developing innovative models for assessing the probability of default, creditworthiness of customers, and effective risk management strategies in the B2B SME Lending space. By leveraging advanced interfaces such as Databricks, collecting datasets including Open Banking records, utilizing packages of pandas (XGBoost, Numpy, Pytorch, Tensorflow, Scikit-Learn, etc.) you will play a vital role in ensuring responsible lending practices and the long-term success of our company. Our chemistry speaks volumes From 2018, we got off to a flying start and are currently in full scale-up mode. We are constantly working on growth and optimization. This gives you plenty of opportunities to use your creativity and build a new, optimistic and slightly rebellious generation with only one mission: to prove that a bank-free world makes doing business easier, more efficient, fairer and...

Your opportunity Data analytics is a dedicated team of data enthusiasts (10+) tasked to provide the deep insights to help Mollie grow. Together with the team you’ll be helping us realise our mission of enabling data driven decision making within cross-functional teams. We are looking for one more team member to complement our discussions around the best way to use analytics to drive the business. What You'll Be Doing Analytics: uncover business insights which help your domain reach its objectives. This means working closely with our domain experts, data scientists and (analytics) engineers. Metric definition and governance: partner with fellow analysts and business stakeholders to help shape how we measure performance, taking care to ensure that everyone is on the same page. Data modelling (dbt): help manage the various data models that power business intelligence and enable our stakeholders to answer questions. You will need to work closely with analytics engineers to...

As a Data Product Manager at Melio, you’ll work closely with the data engineering & data analyst teams to shape and deliver exceptional data products that meet the evolving needs of data consumers. You will have a unique opportunity to make analytics operational, scalable, and highly accessible at Melio to make data-driven decisions and have a significant company-wide impact. The ideal candidate will have a strong background in product management and technical experience with data. Additionally, a proven track record of designing and implementing scalable data solutions. Minimum Qualifications To Apply For This Role A proven track record of over 4 years in Product Management roles with a strong focus on data products Proficiency in data-related technologies and methodologies, including data visualization tools, databases, data warehousing solutions and data modelling Data is your second (or first) language. You can read and explain stats and define metrics to anything...

Melio is a TLV-based Fintech startup (and tech Unicorn!) that enables small businesses in the US to pay their bills in more efficient ways. This improves their finances and frees them up to focus more on managing the businesses they love. With our unique approach to small business payments, we're the fastest-growing payment solution in the United States. What makes Melio unique? Well, we've made B2B payments as simple as P2P payment apps. Currently, 42% of business payments in the US are made by check… yikes As a Senior Product Manager at Melio, you'll partner with engineers, designers and data scientists to envision, build and scale one of the fastest growing payments products in the US. How You’ll Make An Impact Build the business case for new products and features through market research, competitive analysis and feedback from users and other stakeholders Gather qualitative and quantitative insights via data analyses, user interviews and usability studies,...

Everything we do, starts with you. Together with you, we build the most human-centric fintech. To enable everyone’s future financial growth. We are looking for a Azure MLOPS Engineer (m/f/d) full-time at our location in Oslo, Varberg, Berlin or Verl (other Riverty locations to be discussed) The Data Science – Consumer and Risk team in Riverty have several near-realtime models in production. The models are optimizing the risk decisions that are key to our Buy Now Pay Later (BNPL)-products. As we are scaling both model training, deployment and monitoring, we need to strengthen our MLOps muscles to streamline our processes. We work in the Microsoft Azure cloud environment, using Terraform, Docker, Kubernetes and other CI/CD tools to create and maintain our data engineering and ML- workspaces. Our ambitious goal is to create secure, scalable and maintainable machine learning products which will help us become the most human-centric Fin Tech. As we are working on...

Do you get extremely excited about utilizing state-of-the-art technologies such as Databricks, Python, Spark, and SQL? Does unlocking the potential of data to transform how businesses access financial support make your heart jump? Are you that talented and passionate Data Engineer who we are looking for? Your role will be pivotal in leveraging the power of data to drive innovation and growth within the B2B SME Lending space. Still excited? Read on, apply and join our team! Our chemistry speaks volumes From 2018, we got off to a flying start and are currently in full scale-up mode. We are constantly working on growth and optimization. This gives you plenty of opportunities to use your creativity and build a new, optimistic and slightly rebellious generation with only one mission: to prove that a bank-free world makes doing business easier, more efficient, fairer and therefore more fun. One of the key things that allows us to grow so fast has everything to do with our culture....

Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchain platform in the world, we share the passion to code, create, and ultimately build an open, accessible and fair financial future, one piece of software. We are looking for a talented Data Engineer to join our Data Science team and work from our office in Paris . The group is part of a larger DS team, informing all product decisions and creating models and infrastructure to improve efficiency, growth, and security. To do this, we use data from various sources and of varying quality. Our automated ETL processes serve both the broader company (in the form of clean, simplified tables of aggregated statistics and dashboards) and the Data Science team itself (cleaning and processing data for analysis and modeling purposes, ensuring reproducibility). We are looking for someone with experience in designing, building, and maintaining a scalable and robust Data Infra...

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talent team. As a Data Engineer, you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure. The Middle Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting...

Paysafe (“Paysafe”) (NYSE: PSFE) (PSFE.WS) is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With over 20 years of online payment experience, an annualized transactional volume of over $130 billion in 2022, and approximately 3,300 employees located in 12+ countries, Paysafe connects businesses and consumers across 100 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. Further information is available at www.paysafe.com . Risk and Compliance is one of the most important areas within Paysafe and we strive to...

Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world’s most powerful payments and banking infrastructure, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform. Established in 2015, our purpose is to connect entrepreneurs, business builders, makers and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America. At Airwallex, you will work closely with a group of talented engineers with a passion for learning through solving the most challenging problems with cutting-edge technology. In this Data Engineering role, you need to have systemic thinking with data content architectural design and will be building a metrics layer to handle data at a massive scale. And you will be building robust data modeling to produce high-quality,...