Advanced Analytics Specialist

4 days ago

Pune, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Description

Nice Actimize is the largest and broadest provider of financial crime, risk, and compliance solutions for regional and global financial institutions. The company has been consistently ranked as number one in the space.

The role involves developing and executing advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment.

Data Scientists will design and develop predictive models to extract actionable insights from large datasets. They will utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data.

Key tasks include collecting and preprocessing data, training and evaluating machine learning models, and optimizing AI-generated outputs across different tasks and domains.

Strong understanding of machine learning techniques and algorithms, LLMs, NLP techniques, and evaluation methods for generative outputs is also required.

Required Skills and Qualifications

A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field is preferred.

2-4 years of hands-on experience in data science and machine learning is also required.

Proficiency in programming languages such as Python or R is necessary.

Additional qualifications include strong analytical skills, excellent problem-solving abilities, and solid foundation in prompt engineering.

Benefits

As a Data Scientist at Nice Actimize, you will have the opportunity to work with cutting-edge technologies and contribute to innovative projects.

Collaborate with a talented team of experts to design and develop predictive models that drive business growth.

Take advantage of opportunities for professional development and career advancement.

Others

Work in a dynamic and fast-paced environment with diverse challenges and opportunities for growth.

Develop your expertise in machine learning, NLP, and AI-generated outputs.

Contribute to the development of predictive models that drive business outcomes.

Prioritize project deliverables, manage multiple tasks, and meet deadlines while maintaining quality standards.

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