{"id":3159061,"url":"https://alion.io/job/nice-specialist-data-scientist-actimize","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":27,"ghost_share":0,"stale_share":0.63,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-30T05:48:23Z"}},"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":{"min_usd":19500,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Transformers","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Pinecone","optional":true},{"name":"Power BI","optional":true},{"name":"RAG","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-23T12:49:38Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-30T20:51:20Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"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 seeking for a seasoned Data Scientist (5 + yrs) with a strong track record of turning state-of-the-art Generative AI and classical ML techniques into production value. The Specialist Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems at the fraud prevention domain.\nHow will you make an impact?\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.\nMentor and upskill junior data scientist, champion best practices in code quality, experimentation, and documentation.\nStay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges.\nHave you got what it takes? \nBachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred.\nMinimum of 5 years of hands-on experience in data science and machine learning, Agentic AI with at least 1 year of experience in Generative AI development.\nProficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.).\nStrong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning.\nStrong understanding of LLMs, Agentic Architectures and evaluation methods for generative outputs.\nSolid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains.\nExcellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment.\nStrong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.\nProven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects.\nPreferred Qualifications:\nExperience working in industries such as finance, banking.\nFamiliarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models.\nKnowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports.\nPublications or contributions to the data science community, such as conference presentations, research papers, or open-source projects.\nExperience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases.\nHands-on experience with vector databases (e.g. Pinecone) and embedding techniques.\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!\nEnjoy 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: 10241\nReporting into: Group Manager\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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