Data Science Analyst
1 week ago
Expected Joining: January 2026 Your Role: In the role of Data Science Analyst, you will be an integral part of our dynamic analytics team, working alongside experienced data scientists and business stakeholders to drive data-informed decision-making by extracting insights from complex financial datasets and support the development of predictive models that enhance our products and services.Key Responsibilities Assist in collecting, cleaning, and preprocessing large volumes of structured and unstructured data. Support exploratory data analysis to identify trends, patterns, and anomalies. Help build and validate predictive models using machine learning algorithms. Collaborate with cross-functional teams including software engineers, business analysts, and domain experts. Contribute to creating data visualizations and reports to communicate findings clearly to technical and non-technical audiences. Stay up to date with the latest data science techniques and tools relevant to financial services. Required Skills, Qualifications: Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Economics, Engineering, or a related field. Basic understanding of statistics, machine learning, and data analysis techniques. Familiarity with programming languages such as Python or R. Experience with data manipulation and analysis libraries (, pandas, numpy, scikit-learn). Exposure to SQL and database querying. Good problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Prior internship or project experience in data science or analytics is a plus. What we Offer Opportunity to grow and learn within a leading fintech company. Mentorship from experienced data scientists. Exposure to cutting-edge technology and real-world financial datasets. Collaborative and inclusive work environment. Competitive salary and benefits. Our Company: We’re a diverse group of visionary innovators who provide trading and workflow automation software, high-value analytics, and strategic consulting to corporations, central banks, financial institutions, and governments. Founded in 1999, we’ve achieved tremendous growth by bringing together some of the best and most successful financial technology companies in the world. • Over 2,000 of the world’s leading corporations, including 50% of the Fortune 500 and 30% of the world’s central banks, trust ION solutions to manage their cash, in-house banking, commodity supply chain, trading, and risk. • Over 800 of the world’s leading banks and broker-dealers use our electronic trading platforms to operate the world’s financial market infrastructure. ION is a rapidly expanding and dynamic group with 13,000 employees and offices in more than 40 cities around the globe,Our ever-expanding global footprint, cutting edge products, and over 40,000 customers worldwide provide an unparalleled career experience for those who share our vision. Learn more at We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Data Science
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Data Science
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Noida, India Training Basket Full timeJob Description We are looking for enthusiastic and detail-oriented Data Science / Data Analyst Trainees who are passionate about data, analytics, and problem-solving. This role is ideal for fresh graduates or early-career professionals who have a strong foundation in Python, SQL, and analytical thinking, and are eager to build a career in data science, data...
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Data Science Analyst for B.Tech Class of
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Noida, India ION Full timeExpected Joining: January 2026 Your Role: In the role of Data Science Analyst, you will be an integral part of our dynamic analytics team, working alongside experienced data scientists and business stakeholders to drive data-informed decision-making by extracting insights from complex financial datasets and support the development of predictive models that...
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