At NiCE we don t limit our challenges We challenge our limits Always We re ambitious We re game changers And we play to win We set the highest standards and execute beyond them And if you re like us we can offer you the ultimate career opportunity that will light a fire within you What s the role all about We are looking for talented and motivated Data Scientists who are passionate about solving complex fraud related problems using advanced analytics and machine learning You are someone who thrives on exploring large datasets uncovering hidden patterns and building predictive models that make a real business impact You enjoy collaborating with cross functional teams experimenting with new techniques and delivering scalable analytical solutions If you love transforming raw data into actionable insights and want to be part of a high performing analytics team at NICE Actimize this role is for you How will you make an impact You will join a agile team of highly skilled Data Scientists and Fraud Analytics experts working on cutting edge analytical solutions In this role you will Work with large complex datasets to analyze fraud cases and identify inconsistencies Build validate and optimize machine learning models for fraud detection and prevention Research data patterns to predict fraudulent transactions and improve model performance Enhance existing models using advanced computational algorithms and techniques Develop compelling visualizations that help stakeholders understand trends and insights Collaborate with business teams engineers and stakeholders to deliver scalable analytical solutions Drive continuous improvement by staying updated with the latest advancements in Data Science and ML Communicate analytical findings clearly to both technical and non technical audiences Participate in critical discussions advocate technical solutions and support model deployment Contribute to innovation forums and knowledge sharing initiatives across NICE Have you got what it takes 2 to 4 years of relevant Data Science experience Strong analytical problem solving and communication skills Ability to explain complex analytical concepts to non technical stakeholders Experience working in agile multi disciplinary teams Self driven collaborative and committed to delivering high quality outcomes Qualifications Skills Core Skills Advanced degree in Statistics Mathematics Computer Science Engineering or related fields Strong knowledge of statistical techniques regression feature selection time series etc Proficiency in SQL and Excel Strong programming skills in Python 3 7 Hands on experience with ML techniques clustering decision trees boosting etc Experience developing and deploying classification and regression models at enterprise scale Understanding of logistic regression and regularization techniques Familiarity with ML Ops frameworks or containerized environments Kubernetes is a plus Experience troubleshooting production data and deployed models Exposure to cloud platforms AWS Azure preferred Experience with visualization and presenting insights clearly Additional Desired Qualifications Experience in fraud analytics financial crime or risk management models Knowledge of financial systems and data standards Experience with containerized model development using Kubernetes Exposure to banking or financial services domain What s in it for you Join an ever-growing market disrupting global company where the teams - comprised of the best of the best - work in a fast-paced collaborative and creative environment As the market leader every day at NiCE is a chance to learn and grow and there are endless internal career opportunities across multiple roles disciplines domains and locations If you are passionate innovative and excited to constantly raise the bar you may just be our next NiCEr Enjoy NiCE-FLEX At NiCE we work according to the NiCE-FLEX hybrid model which enables maximum flexibility 2 days working from the office and 3 days of remote work each week Naturally office days focus on face-to-face meetings where teamwork and collaborative thinking generate innovation new ideas and a vibrant interactive atmosphere Requisition Details Requisition ID 9362 Reporting into Tech Manager Actimize Role Type Individual Contributor About NiCE NICE Ltd NASDAQ NICE software products are used by 25 000 global businesses including 85 of the Fortune 100 corporations to deliver extraordinary customer experiences fight financial crime and ensure public safety Every day NiCE software manages more than 120 million customer interactions and monitors 3 billion financial transactions Known as an innovation powerhouse that excels in AI cloud and digital NiCE is consistently recognized as the market leader in its domains with over 8 500 employees across 30 countries NiCE is proud to be an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race color religion national origin age sex marital status ancestry neurotype physical or mental disability veteran status gender identity sexual orientation or any other category protected by law

📌 Data Scientist, Actimize (Maharashtra)
🏢 NICE Actimize
📍 Maharashtra