{"id":3598647,"url":"https://alion.io/job/nice-specialist-data-scientist-actimize-2","title":"Specialist Data Scientist , Actimize","company":{"id":6234,"name":"NICE","domain":"nice.com","url":"https://alion.io/company/nice","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":25,"ghost_share":0,"stale_share":0.64,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"closed","first_seen_at":"2026-10-30T07:28:20Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T09:11:57Z","board_verified":false,"closed_at":"2026-11-04T09:11:57Z","days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"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.\nSo What’s the role all about?\nWe 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.\nIf 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.\nHow will you make an impact?\nYou will join a dynamic team of highly skilled Data Scientists and Fraud Analytics experts working on cutting-edge analytical solutions. In this role, you will:\nAnalyzing large volumes of client data to extract actionable insights, assess AML compliance and identify and flag inconsistencies or potential compliance risks.\nDevelop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. \nDesign and develop predictive and generative models to extract actionable insights from large and complex datasets. \nUtilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. \nTranslate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs. \nStay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges. \nProficiency in handling imperfections in data is an important aspect of this role\nStaying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant and drive the continuous improvement of Ways of Working of the Data Science and analytics\nBring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making Presenting results in a clear manner\nExceptional technical and business communication in English, verbal and written. Should be good at time management.\nCollaboration- Collaborating with Business and other internal stakeholders within NiCE and should be able to solve data problems in a simple and agile manner.\nStakeholder Management-\n Ability to explain complex analytical concepts to a non-technical audience.\n Ability to effectively advocate technical solutions to customers/account managers /Data engineering teams and business audiences\nMentor and support team skill building-\nMentor and coach other team members to develop technical skills.\nPresent innovative solutions to various stakeholders and bring that skill within team to make them future ready\nShould be a good team player to actively contributes to team in order to complete tasks, meet goals, respect ideas and aim to improve the product or process at hand\nHave you got what it takes?\n8+ Years of Experience in application and knowledge of statistical techniques and Data Science concepts (statistical tests, regression, feature selection, time series modeling, Advanced Machine Learning etc.)\nStrong experience with using SQL and EXCEL.\nStrong programming skills in Python and ability to rapidly learn new programming tools and experience in application and knowledge of machine learning techniques (clustering, decision trees, boosting, etc.) and their advantages or drawbacks.\nGood command into develops and deploying classification and regression machine learning models at an enterprise level.\nVersed with various bagging & boosting methods and able to choose which one should be used based on data.\nHave fair understanding of Logistic regression and various regularization techniques.\nHaving knowledge of Model deployment and production model monitoring with ML-ops framework or containerized environment (Kubernetes) will be plus.\nExpert into troubleshooting issues with a variety of production data and past deployed models.\nFamiliarity with various cloud infrastructure (especially AWS) is a good to have.\nAbility to work in multi-disciplinary agile teams.\nStrong commitment to deliver work with “Right first time” approach.\nAdditional Desired Qualifications\nExperience in development of risk management models, particularly in the AML compliance areas.\nKnowledge of national and international financial systems and appropriate data standards.\nExperience of containerized Model development using Kubernetes.\nExposure to banking or financial services domain.\nAdvanced degree in a quantitative area (statistics, mathematics, physics, computer science, engineering) preferred. \nWhat’s in it for you?\nJoin 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!\n Enjoy NiCE-FLEX!\nAt 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.\nRequisition ID: 11949\nReporting into: Tech Manager, Actimize\nRole Type: Individual Contributor\n About NiCE\nNICE 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. \nKnown 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. \nNiCE is proud to be an equal opportunity employer. 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