137 senior data scientist jobs found

Proud to share LSEG in the India is Great Place to Work certified (Jun ’25 – Jun ’26). Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG Senior Data Scientist role is to provide knowledge & support to Refinitiv Data, Product Teams, Development Team and Content Specialist regarding the Company Data content and the Product Generation. Senior Data Scientist will lead the Extraction of data work with content team and Central Tech Standards team on business requirements. Core Responsibilities Handle and process large datasets using Python. Define requirements and lead projects to deliver new or enhanced capabilities. Collaborate with business units to see opportunities for improving commercial performance and operational efficiency through data science and analytics. Translate business needs into technical solution requirements. Propose and implement improvements to products and processes....

About the Role: Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Design solutions utilizing natural language processing (NLP) models, including chat assistants and retrieval-augmented generation systems. Develop custom NLP large language models (LLMs) that incorporate prompt engineering techniques, model fine-tuning, and alignment strategies. Evaluate NLP models using both...

About the Role: Grade Level (for internal use): 10 The Role: Senior Data Scientist The Team: The team drives new product innovation in the Maritime and Trade domain, leveraging cutting-edge machine learning algorithms to build scalable, intelligent solutions. Beyond product development, the team also leads the execution of complex, high-impact client projects, often operating across functional and geographical boundaries. What sets this team apart is its strong blend of technical excellence, domain depth, and collaborative agility—valuing innovation, ownership, and real-world impact. The Impact: This role plays a critical part in driving innovation by continuously ideating and developing novel solutions aligned with business needs and emerging market trends. It requires a strong team player who can navigate ambiguity, communicate transparently, and contribute meaningfully to both established and nascent projects. By transforming vague problem statements and...

Job Summary As a Senior Data Scientist, you will leverage cutting-edge technologies and methodologies to deliver data-driven insights and solutions for complex customer needs. You will work on end-to-end solutions, including building Proof of Concepts (POCs), professional services, and integrating third-party technologies with client systems. This role is pivotal to ensuring the successful implementation of data science-driven products and capabilities, with a key focus on AI, machine learning, and Natural Language Processing (NLP). You will collaborate closely with cross-functional teams, delivering innovative solutions to customers in highly dynamic, data-intensive environments. Role & Responsibilities Lead and execute complex customer engagements, utilizing specialized expertise in AI, Machine Learning, and NLP, including building POCs, integrations, and deployments with customer workflows. Apply a combination of technical, product, and data science expertise to...

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage...

Job Title Senior Data Scientist Job Description So, who are we? Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser-focused on increasing the number of active clients we serve to drive sustainable growth. Your team Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for a talented senior data...

Stand out and drive the next generation of wealth. ​​Define the digital assets industry. Raise the bar for trust, transparency, and client success. Make your mark. Nexo is a premier digital assets wealth platform designed to empower clients to grow, manage, and preserve their crypto holdings. Our mission is to lead the next generation of wealth creation by focusing on customer success and delivering tailored solutions that build enduring value, supported by 24/7 client care. Since 2018, Nexo has provided unmatched opportunities to forward-thinking clients in over 150+ jurisdictions. With over $11+ billion in AUM and $371+ billion processed, we bring lasting value to millions worldwide. Our all-in-one platform combines advanced technology with a client-first approach, offering high-yield flexible and fixed-term savings, crypto-backed loans, sophisticated trading tools, and liquidity solutions, including the first crypto debit/credit card. Built on deep industry expertise, a...

The Emerging Tech Standard Delivery Team will orchestrate adoption of emerging technologies and build Enterprise Solutions for D&A Operations. The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The individual in the role will handle partners and co-ordinate with teams highly proficient in machine learning, database development and front-end application engineering. The individual needs to self-learn in areas including emerging technology, industry methods of working, financial content, and business processes used across D&A teams. Beyond this, they should have a good sense of numbers, data analysis, be articulate and able to connect to the technical and non-technical people. Role, Responsibilities & Key Accountabilities: Be responsible for the product vision for industry leading data management framework (data acquisition, cleaning,...

About the Role: Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Design solutions utilizing NLP models including chat assistants and RAG systems. Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tunning and alignment (SFT, RLHF, DPO) NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics. Deploy...

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid,...

Senior Data Engineer- Customer Lifecycle Engineering, CMR 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 65 countries across EMEA,...

The Emerging Tech Standard Delivery Team will orchestrate adoption of new technologies and building Enterprise Solutions for D&A Operations. The individual will work closely with Specialists, Operations & Technology delivery teams to devise Enterprise solutions that deliver business and customer value. The role will manage stakeholders and co-ordinate with teams highly proficient in data science, machine learning, database development and front-end application engineering. The individual needs to self-learn in areas including emerging technology, industry methods of working, financial content, and business processes used across D&A teams. Beyond this, they should have a good sense of numbers and data analysis and be articulate and able to connect with technical and non-technical people. The Lead Data Scientist will work closely with Technology to influence the D&A Operations technology roadmap and will partner with D&A Ops leaders to build a culture that...

About the Role: Grade Level (for internal use): 10 Team Overview Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially AWS and Snowflake , and prioritise data security and governance. Collaboration is key , as we work closely with Data Scientists and ML Engineers to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like Generative AI models and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.   Role Impact In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the Machine Learning (ML) and Generative AI (GenAI) lifecycle . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and...

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, Washington D.C., London and Amsterdam. Plaid’s Data team is building models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art machine learning...

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, Washington D.C., London and Amsterdam. The Earned Wage Access (EWA) team is building Plaid’s industry-leading solution for assessing repayment risk in EWA. By leveraging Plaid’s unique data and modeling capabilities, the team aims to deliver the...

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no...

WHAT YOU’LL DO: As a data scientist in our options market making team, you will play a key role in improving our trading strategies through rigorous data-driven analysis. You’ll take a scientific approach to understanding how our systems perform in live markets—developing hypotheses, building experiments, and using advanced analytics to uncover opportunities for improvement. You’ll work with large-scale production trading data to identify patterns, test ideas, and evaluate strategic changes. This may include leveraging statistical modeling, machine learning techniques, and other quantitative methods to better understand market dynamics and strategy behavior. You’ll collaborate closely with traders and engineers, but your work will be rooted in independent thinking, analytical rigor, and a strong focus on real-world impact. WHO YOU ARE: Strong research skills with a scientific mindset and a passion for solving real-world problems with data. Proficient in Python for...

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Data-driven based business is the core in helping us to use the cloud-native platforms to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analyses for continuous innovations. As a data scientist, you will...

WHAT YOU’LL DO: You will improve our trading results using insights driven by data. You'll work closely with the development, research, and trading teams. You will develop hypotheses and test them experimentally. You'll direct engineering efforts and build tools & metrics to monitor and optimize our low-latency trading strategies. You'll work with cutting-edge hardware and terabytes of data. You’ll reverse engineer systems to understand how to improve our trading success. In short, you’ll be responsible for defining and driving improvements to our trading through technology. WHO YOU ARE: An understanding of how computer systems work e.g., memory allocation, caches, system programming, networking strong preferred Experience in programming Python (Pandas, Numpy, SciPy, pyspark) strongly preferred Scientific and critical thinking skills, as well as an eye for detail. Outstanding communication skills. You’re able to coordinate with multiple stakeholder groups,...

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange. Our mission is to accelerate cryptocurrency adoption and increase the freedom of money. If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.   Responsibilities Data Analysis and Statistical Modeling : Extract valuable insights from large-scale datasets, apply data science methods for statistical analysis and modeling, and transform complex analytical results into clear, actionable visualizations and recommendations to support business decision-making, forecasting, and process optimization. AI-Driven Initiatives : Lead the design, development, and deployment of LLMs applications/agentic models, collaborating closely with business and technical teams to implement AI solutions that enhance...

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, Washington D.C., London and Amsterdam. Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art...

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, Washington D.C., London and Amsterdam. The Network Value Data Science team is helping Plaid build an industry leading fintech consumer network by increasing access to, authorization for, and usability of Plaid’s User’s financial footprints. We...

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 over 60 countries across EMEA, North America, Latin America and Asia Pacific. We...

Job Summary: As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with cross-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks. Role & Responsibilities: Assist in the development and deployment of machine learning models under the guidance of senior data scientists. Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems. Collaborate with the team to gather and analyze data, ensuring data quality and consistency. Support the creation of dashboards, reports, and data visualizations to...