Offer summary

Qualifications:

At least 5 years of experience as a Data Scientist with expertise in machine learning techniques., Proficient in Python and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch., Experience in building and deploying comprehensive machine learning solutions across all stages of model development., Familiarity with cloud platforms and MLOps methodologies, along with strong problem-solving and communication skills..

Key responsibilities:

Design, develop, and deploy end-to-end machine learning solutions including data preprocessing and model evaluation.

Analyze large datasets to generate insights that drive business decisions.

Collaborate with cross-functional teams to integrate machine learning models into production environments.

Present technical concepts and analytical results to both technical and non-technical stakeholders.

Job description

Working As a Senior Data Scientist, You Will

Design, develop, and deploy end-to-end machine learning (ML) solutions, including data preprocessing, feature engineering, model creation, and evaluation.
Analyze large and complex datasets to generate insights and drive business decisions.
Utilize advanced machine learning frameworks and libraries, such as Python, scikit-learn, TensorFlow, and PyTorch.
Collaborate with cross-functional teams to integrate ML models into production environments using MLOps practices.
Apply statistical and mathematical techniques to model development and optimization.
Implement data management processes, including data wrangling, feature selection, and model tuning.
Present technical concepts and analytical results to both technical and non-technical stakeholders clearly and effectively.
Stay updated on the latest trends and advancements in data science and machine learning.

About Chabre IT Services

Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions, smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality.

About Our Client

Our client is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. It operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector.

Qualifications

Have at least 5 years of experience as a Data Scientist, demonstrating expertise in applying ML techniques to solve practical challenges.
Be proficient in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Possess experience in building and deploying comprehensive ML solutions, covering all stages of model development.
Be familiar with cloud platforms (e.g., AWS, Azure, GCP) and MLOps methodologies.
Understand and apply statistical and mathematical principles to data science projects.
Manage large datasets, performing tasks such as data cleaning, feature engineering, and model optimization.
Demonstrate strong problem-solving and critical-thinking skills, with the ability to create innovative solutions for complex data issues.
Show excellent communication skills, with a focus on presenting findings to diverse audiences.
Be fluent in English, both spoken and written.

We offer