So, what s the role all about?
Within Actimize, the
AI and Analytics Team
is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies.
How will you make an impact?
NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space
At NICE Actimize, we recognize that every employee s contributions are integral to our company s growth and success. To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities. Come share, grow and learn with us you ll be challenged, you ll have fun and you ll be part of a fast growing, highly respected organization.
This new SaaS platform will enable our customers (some of the biggest financial institutes around the world) to create solutions on the platform to fight financial crime.
Have you got what it takes?
- Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment.
- Design and develop predictive and generative models to extract actionable insights from large and complex datasets.
- Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data.
- Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs.
- Mentor and upskill junior data scientist, champion best practices in code quality, experimentation, and documentation.
- Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges.
Qualifications:
- Bachelors degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Masters or Ph. D. ) preferred.
- 2- 4 years of hands-on experience in data science and machine learning, with at least 2 years of experience in Generative AI development.
- Proficiency 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. ).
- Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning.
- Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs.
- Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains.
- Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment.
- Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
- Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects.
Preferred Qualifications:
- Experience working in industries such as finance, banking.
- Familiarity with cloud computing platforms (e. g. , AWS, Azure, Google Cloud) and related services for building and deploying machine learning models.
- Knowledge of data visualization tools (e. g. , Tableau, Power BI) for creating interactive dashboards and reports.
- Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects.
- Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases.
- Hands-on experience with vector databases (e. g. Pinecone) and embedding techniques.
Requisition ID: 8296
Reporting into:
Tech Manager Role Type:
Data Scientist
