Data Scientist, Actimize- Statistics, Applied Mathematics

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 in it for you?**

**Data Scientist**

Actimize Premier is seeking a** Data Scientist** / Analyst **(Statistics, Applied Mathematics

**Key Responsibilities**:

- Mentor and guide junior data scientists and analysts, fostering a collaborative and high-performance team environment.
- Leverage cloud platforms (AWS, Azure, Google Cloud) to implement scalable AI/ML solutions.
- Contribute to the design and implementation of core algorithms, mathematical models, and data-driven solutions.
- Collaborate with product managers, engineers, and other stakeholders to translate business requirements into robust technical solutions.
- Perform statistical analysis, data mining, and visualization using tools like Python or R.
- Drive innovation by researching and integrating the latest advancements in data science and machine learning.
- Support the team in building user behavior models, leveraging Bayesian statistics, and exploring advanced techniques like social network analysis.

**Skills and Experience Required**:

- **Educational Background**:

- Master’s or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Electrical Engineering, or a related quantitative field.
- **Professional Experience**:

- 2 -4 years of experience in algorithm development, statistical analysis, and machine learning.
- **Technical Expertise**:

- Proficiency in Python for statistical analysis, data modeling, and visualization.
- Experience with cloud technologies and platforms (AWS, Azure, or Google Cloud).
- Solid understanding of databases and SQL (e.g., MySQL).
- **Soft Skills and Teamwork**:

- Strong mentoring and leadership skills, with a proven ability to guide and develop junior team members.
- Effective communication skills to collaborate across teams and present complex ideas to stakeholders.
- Resourceful, adaptable, and passionate about financial crime prevention technologies.

**Preferred Qualifications**:

- Knowledge of user behavior modeling and Bayesian statistics.
- Experience in natural language processing (NLP).
- Familiarity with tools and libraries for generative AI (e.g., Transformer models).
- Understanding of the financial crime prevention domain and its associated challenges.

**Why Join Us?**
At Actimize Premier, you will play a critical role in developing industry-leading solutions to combat financial fraud and money laundering. This role offers the opportunity to work on innovative technologies, mentor a talented team, and make a tangible impact in the fight against financial crime. Join us to lead the evolution of AI-driven fraud detection and AML technologies.

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 ID**: 8013
**Reporting into: Tech Manager**
**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._