73 Data Science jobs

Job Description Summary RQA Specialist is responsible to troubleshoot technical challenges involving Quantitative products and databases installed on Windows and Linux based servers to level 3 incidents, participate as an active member in all support duties including but not limited to monitoring of client support calls, emails and internal monitoring tools. Qualifications Bachelor's Degree in Computer Science or equivalent desirable. 3yrs min experience in MS Windows Desktop environment (server-client applications) 3 years min. supporting MS SQL databases 2yrs min experience on Cloud Environment ( Azure/AWS/Snowflake/ Google) Knowledge on basic Network Configuration/Troubleshooting Experience in Linux Installation and administration is considered as plus Motivated self-starter, capable of working with minimal supervision alongside other high energy team players in an extremely fast paced environment. Excellent organizational skills and details oriented. Excellent written and...

A Quant Specialist empowers customers in the quantitative investment market to maximize the value they receive from our value-added content, analytics, and efficient research tools by providing specialist expertise to identify new solutions, support complex customer service requests, and advise customers towards the best workflow experience.  A Quant Content Specialist specifically combines equity and index market data content knowledge and usage with analytical research and moderate scripting skills to provide expert support to Quant Analysts and Data Scientists and ensure our internal database processes yield the most complete and accurate delivery of LSEG Refinitiv and external vendor Quant datasets.   A Specialist - RQA Data Service, Quant, supports daily client data queries involving corporate actions, market pricing, and capital events including merger and acquisition activity.  A Specialist also manages the sophisticated historical company mapping that enables alignment...

Job Description Summary RQA Specialist is responsible to troubleshoot technical challenges involving Quantitative products and databases installed on Windows and Linux based servers to level 3 incidents, participate as an active member in all support duties including but not limited to monitoring of client support calls, emails and internal monitoring tools. Qualifications Bachelor's Degree in Computer Science or equivalent desirable. 3yrs min experience in MS Windows Desktop environment (server-client applications) 3 years min. supporting MS SQL databases 2yrs min experience on Cloud Environment ( Azure/AWS/Snowflake/ Google) Knowledge on basic Network Configuration/Troubleshooting Experience in Linux Installation and administration is considered as plus Motivated self-starter, capable of working with minimal supervision alongside other high energy team players in an extremely fast paced environment. Excellent organizational skills and details oriented. Excellent written and...

The candidate will act as the accountable owner for the team's deliverables, working within the Content Intelligence Team and across other departments within Refinitiv. We expect you to be able to navigate organizational teams and functions to deliver sensible outcomes. Responsibilities include: Ownership of Product Feature Specification, Planning, Tracking, Delivery, Reporting and Communication Project Scoping and SCRUM Master Scoping and delivering rapid prototyping and Proof of Concepts (PoCs) Stakeholder and Budget Management Required Skills Natural Language Processing O365, Atlassian Suite One or more of; Python, Java, R, Matlab One or more of; ElasticSearch, Qumulo, Hadoop, Cassandra, NoSQL, SQL One or more of; AWS, Azure, GCP, TensorFlow Finance, Economics Preferred Skills Product Management Multi-lingual NLP experience Artificial Intelligence, Machine Learning At LSEG, we believe that creating a diverse and inclusive organisation is fundamental to the way we deliver on...

PLEASE READ: If you are interested in applying to the role, we ask that you kindly complete the application in English and attach an English version of your resume. Thank you. At Xe, we live currencies. We provide a comprehensive range of currency services and products, including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services through our website, mobile app and by phone. Last year, we helped over 300 million people access information about the currencies that matter to them and over 225,000 people used us to send money overseas. We are proud to be part of Euronet Worldwide (Nasdaq: EEFT), a global leader in processing secure electronic financial transactions. Under their Money Transfer division, Xe and Ria Money Transfer have been brought together to help establish the third largest money transfer business in the world. Our principles...

----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.      If you need an accommodation during the application process due to a disability, please send an email to:  EEO.Compliance@spglobal.com  and your request will be forwarded to the appropriate person.      US Candidates Only:    The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf  describes discrimination protections under federal law....

Job description to be provided ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.      If you need an accommodation during the application process due to a disability, please send an email to:  EEO.Compliance@spglobal.com  and your request will be forwarded to the appropriate person.      US Candidates Only:    The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf  describes discrimination protections under federal law....

Data Scientist – S&P Global Commodity Insights S&P Global is looking for a data scientist who will part of our Data Science and Modelling team, the ideal candidate should be highly motivated and goal-oriented, with an encouraging attitude of working in a very dynamic work environment with a wide range of stakeholders and functional teams. Job summary: As a Data Scientist at S&P Global, you will apply your advanced analytics skills to transform our vast datasets into tangible business value. You will slice and dice data, analyse information, communicate your findings and collaborate on product development. Outcome of your work will serve multiple business purposes, from commercialized software solution development, driving internal business decisions, to consulting external clients. Responsibilities: • The candidate will drive business decisions based on the insight obtained from the data. • Strong problem-solving skills with an emphasis on product development. •...

Wise is one of the fastest growing companies in Europe .  Current banking systems don't let us send, spend or receive money across borders easily. Or quickly. Or cheaply.  So, we’re building a new one. We’re on a mission: to make money without borders the new norm. We’ve got 15 million customers across the globe and we’re growing. Fast. We’re creating a scalable, high performing platform for our customers. And we need smart graduates to join us in our mission. At Wise you’ll work on challenging technical problems across the full product life-cycle and you’ll build systems that give our customers a great experience.  How you’ll contribute to our team of data scientists:  Help take Wise to the next level as we scale to impact 100’s of millions more customers You will help analysing data that will help us prioritise the most customer significant changes in the product Participate in building the most advanced machine learning based...

Wise is one of the fastest growing companies in Europe .  Current banking systems don't let us send, spend or receive money across borders easily. Or quickly. Or cheaply.  So, we’re building a new one. We’re on a mission: to make money without borders the new norm. We’ve got 15 million customers across the globe and we’re growing. Fast. We’re creating a scalable, high performing platform for our customers. And we need Data Science Interns to join us in our mission. At Wise you’ll work on challenging technical problems across the full product life-cycle and you’ll help us gain the understanding necessary to give our customers a great experience.  How you’ll contribute to our team of data scientists:  You’ll work on a real data science project that matters to us, using up-to-date machine learning techniques. We can’t say what project yet, but your internship will be centered around this. You will help analysing data that will help us...

Wise is one of the fastest growing companies in Europe .  Current banking systems don't let us send, spend or receive money across borders easily. Or quickly. Or cheaply.  So, we’re building a new one. We’re on a mission: to make money without borders the new norm. We’ve got 15 million customers across the globe and we’re growing. Fast. We’re creating a scalable, high performing platform for our customers. And we need Data Science Interns to join us in our mission. At Wise you’ll work on challenging technical problems across the full product life-cycle and you’ll help us gain the understanding necessary to give our customers a great experience.  How you’ll contribute to our team of data scientists:  You’ll work on a real data science project that matters to us, using up-to-date machine learning techniques. We can’t say what project yet, but your internship will be centered around this. You will help analysing data that will help us...

ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge, and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We...

By selecting “Apply” above, you indicate you have read and acknowledge the Applicant Privacy Notice and Dow Jones Cookie Policy , including data transfers as described in the Policy. Job Description: The Wall Street Journal and Dow Jones Newswires seek a data scientist to join a team that serves global corporate executives and investors. This team builds and maintains proprietary data services, such as sustainable business scores that combine AI- powered news sentiment with company disclosures to enable comparison of companies across a wide range of environmental, social and governance categories. The data scientist will work on automation that yields proprietary data and other content to support premium products for professionals as part of our increased strategic emphasis on data and research. Our audiences increasingly demand data to support their decision-making, requiring skills in designing, extracting and analyzing data. This person will assist with new...

ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge, and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We...

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Salt Lake City, Washington D.C., London and Amsterdam. Data Science - Analytics Making data driven decisions is key to Plaid's culture. To support that, we need a data science team that can apply their analytical skills to understand our...

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Data Scientist  Adyen is looking for a Data Scientist to join our team in Amsterdam, to jump into any problem and analyse, forecast, detect patterns and draw insights by leveraging data science algorithms and the big data platform, and thus enable teams to go beyond.  You will be responsible for building and...

A Quant Specialist empowers customers in the quantitative investment market to maximize the value they receive from our value-added content, analytics, and efficient research tools by providing specialist expertise to identify new solutions, support complex customer service requests, and advise customers towards the best workflow experience.  A Quant Content Specialist specifically combines equity and index market data content knowledge and usage with analytical research and moderate scripting skills to provide expert support to Quant Analysts and Data Scientists and ensure our internal database processes yield the most complete and accurate delivery of LSEG Refinitiv and external vendor Quant datasets.   A Specialist - RQA Data Service, Quant, supports daily client data queries involving corporate actions, market pricing, and capital events including merger and acquisition activity.  A Specialist also manages the sophisticated historical company mapping that enables alignment...

📍London/Anywhere (UK) About us:  We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves. We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo. About our Data Discipline: We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and...

The Technical Specialists team is responsible for troubleshooting technical challenges involving Quantitative Analytics products and databases installed on Windows and Linux based servers and our cloud delivery channels.  Specialists provide deep domain expertise on a range of IT Admin, database administration, product installation and customer onboarding, version releases, maintenance activities, and structured IT issues.   Their premium level service features tailored guidance and situational support to prospective, new implementation, and existing clients across both production and research-based quantitative workflows.  Monitoring, replication and use of troubleshooting tools are performed both proactively and reactively. Resolution often requires collaboration with Technology, Product Management, Development, Quality Assurance and Sales teams.  Sr Specialists are also active contributors to projects, including components of the product release lifecycle. Qualifications...

The Customer Support Executive – Quant is responsible for providing effective and timely support to customers in relation to Refinitiv Quantitative Analytics (RQA) product suite and service. This includes active focus on enquiry resolution, a positive customer focused attitude at all times and ensuring that all the necessary action is taken to resolve a customer’s enquiry.  Each member should show curiosity partnered with great persistence and thrive for continuous quest for professional growth and excellence notwithstanding the complexities ahead. The Customer Support Executive resolves issues utilizing complex information systems, displays excellent skills and shows high level of urgency discretion to ensure customer satisfaction. Refinitiv provides all needed resource to new members to be able to pursue this new task towards completion and success.   Respond to customers’ enquiries relating to information, product functionality and fault calls resolving as many queries as...