Data Scientist - Bengaluru, Karnataka, India - Luxoft

Luxoft

Verified Company

Bengaluru, Karnataka, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Bengaluru, India

Data Science

Cross Industry Solutions

19/04/2024

Req. VR-103448

Project description:

Luxoft has been asked to contract a Data Scientist in support of a number of customer initiatives. The primary objective is to turn statistical information into meaningful, actionable insights in the Telecom/network work environment.

Responsibilities:

Will work on customer facing use cases, such as anomaly detection, social engineering fraud prevention, etc.

Build comprehensive summary presentations to executive and technical teams

Turn statistical information into meaningful, actionable insights

Proven ability to build a data science pipeline

Leveraging advanced statistical techniques and machine learning models, including supervised and unsupervised learning

Skills:

Must have

GenAI; Artificial Intelligence; Prompt Engineering; Machine Learning, Data Science, Python, PySpark,

Education:
A Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field is typically required. A Master's degree or PhD in these fields or in Artificial Intelligence is highly preferred.

Experience:

At least 3-5 years of experience in data analysis, machine learning, or a related field, with specific focus on LLM and foundational models.

Technical Skills:
Proficiency in Python/Spark. Expertise in machine learning libraries like TensorFlow, PyTorch, or Keras. Familiarity with SQL or other database languages is also crucial. Experience with data visualization tools like Tableau, PowerBI, or Matplotlib could be beneficial.

Machine Learning:
Strong knowledge of machine learning techniques and algorithms, and a deep understanding of supervised, unsupervised, and reinforcement learning.

Data Manipulation:
Ability to preprocess and clean data for foundational models.

Problem-Solving Skills:
Ability to identify, analyze, and interpret trends or patterns in complex data sets.

Communication Skills:
Ability to communicate complex AI concepts in a clear, precise, and actionable manner. This includes visualizing data in a way that is understandable to non-technical stakeholders.

Teamwork:
Ability to work effectively in teams with diverse individuals and skillsets.

Adaptability:

Given the rapidly evolving nature of AI, an eagerness to learn and adapt to new technologies and methodologies is crucial.

Nice to have

Natural Language Processing:
Experience with Natural Language Processing (NLP) techniques, including named entity recognition, sentiment analysis, and topic modelling.

Benefits:

Other:

Languages

English:
C2 Proficient

Seniority

Regular