Data Science Intern

Data Science Intern Remote

RajYug Solutions Ltd
Full Time Remote 900 GBP MONTHLY Today
Job description

Data Science Intern

Job Description:

We are seeking a highly skilled and motivated Data Scientist-Intern to join our team. As a Data Scientist, you will play a crucial role in developing and implementing data-driven solutions that drive business insights and enhance decision-making processes. The ideal candidate should possess strong programming skills in Artificial Intelligence (AI) and Machine Learning (ML) to create innovative models and algorithms.

Requirements:

  • A bachelor’s degree in Computer Science or a related field (e.g., Computer Science, Engineering, or a related field) is required.
  • You must be comfortable working in a team environment.
  • Solid experience in programming languages such as Python, R, and/or Java, with proficiency in AI and ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong knowledge of statistical analysis, data mining techniques, and predictive modeling.
  • You must be comfortable using Git, GitHub, and other tools to manage your code and data.
  • You must be comfortable using Python 3.6+.
  • Strong problem-solving and analytical thinking skills.
  • Excellent communication and teamwork abilities.
  • Ability to work in a fast-paced environment and manage multiple projects simultaneously.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in a production environment is a plus.

Responsibilities:

  • Apply advanced statistical and predictive modeling techniques to analyze complex data sets and extract meaningful insights.
  • Develop and implement machine learning algorithms and models for various business applications, including but not limited to recommendation systems, fraud detection, and predictive analytics.
  • Collaborate with cross-functional teams to identify business challenges and provide data-driven solutions.
  • Clean, preprocess, and wrangle large and diverse data sets from various sources to ensure data quality and integrity.
  • Utilize programming languages such as Python, R, and/or Java to develop AI and ML solutions.
  • Design and conduct experiments to test hypotheses and evaluate model performance.
  • Stay up-to-date with the latest trends and advancements in AI and ML technologies and tools.
  • Communicate complex findings and insights to both technical and non-technical stakeholders through visualizations, presentations, and reports.
  • Work closely with software engineers and data engineers to deploy and integrate models into production systems.

Job Type: Internship

Job Type: Internship
Contract length: 3 months

Salary: From £900.00 per month

Benefits:

  • Work from home

Schedule:

  • Monday to Friday

Work Location: Remote

Reference ID: DS-001

Data Science Intern
RajYug Solutions Ltd

Related Jobs

All Related Listed jobs

Cleaning Operative
Emeria London, England 10 GBP HOURLY Today

Supporting the development manager with individual customer requests in a polite and professional manner at all times to exceed the customers expectations.

Corporate Security Officer
O.C.S. 11.34 GBP HOURLY Today

Providing concierge, front of house and reception duties, including personally welcoming clients, customers and employees. Access to high street discounts.

Executive Assistant
St Elizabeth's Centre Much Hadham, England 38271 - 42028 GBP ANNUAL Today

At a positive time of change for the charity, St Elizabeths are seeking a solid pair of hands to keep working life running smoothly whilst providing high

Charlton Crew Member 1663
McDonald's Limited London, England Today

As a Crew Member, you'll make it happen, whether you're preparing food, serving on the till or being out in the dining areas looking after our customers' needs.

Senior Sous Chef - Fratelli Belfast
Galgorm Collection Belfast, Northern Ireland 40000 - 45000 GBP ANNUAL Today

*Have at least 2 years of experience working as a Sous chef.*. Assisting other chefs in the preparation, cooking, and presentation of food to the highest