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Data Science Developer

2 weeks ago


Bengaluru, Karnataka, India Skill Secure AI Full time

About Skill Secure AI:

We are a rapidly growing company focused on leveraging data science and artificial intelligence to create impactful business solutions. Our team works with diverse industries to turn raw data into actionable insights, and we're looking for passionate data science interns to join our team.

Position Overview:

We are seeking a motivated and driven Data Science Intern to assist in the development of data-driven solutions. In this role, you will have the chance to work with large datasets, apply advanced analytics, build machine learning models, and extract insights to help shape business decisions.

Key Responsibilities:

  • Assist in data collection, cleaning, and preprocessing from various sources to ensure high-quality datasets.
  • Apply statistical analysis and machine learning techniques to solve business problems.
  • Build and test machine learning models, ensuring high performance and accuracy.
  • Visualize and present data insights using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
  • Conduct exploratory data analysis (EDA) to uncover patterns and trends within data.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Assist in the automation of data processes to improve efficiency and scalability.

Qualifications:

  • Currently pursuing or recently graduated with a degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
  • Strong knowledge of statistics, data analysis, and machine learning algorithms.
  • Proficiency in programming languages such as Python or R.
  • Experience with data manipulation and analysis libraries like Pandas, NumPy, and SciPy.
  • Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Strong analytical skills, with the ability to analyze large datasets and derive meaningful insights.
  • Experience with data visualization tools like Matplotlib, Seaborn, or Tableau is a plus.
  • Knowledge of SQL and experience with relational databases is an advantage.
  • Strong communication skills to convey complex data insights to non-technical stakeholders.

Benefits:

  • Real-world Experience: Work on exciting, impactful data science projects that directly contribute to business outcomes.
  • Learning and Development: Gain hands-on experience and mentorship from a talented team of data scientists.
  • Cutting-edge Tools: Work with the latest data science tools and technologies, from machine learning to cloud computing.
  • Collaborative Environment: Join a supportive and innovative team that values your input and encourages learning.
  • Networking: Build your professional network and explore opportunities for growth within the data science community.