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Data Science Internship

3 months ago

Mumbai, Maharashtra, India Argus Media Full time

Data Science Internship

Mumbai

About Argus:
Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets.

Headquartered in London with over 1,400 staff, Argus is an independent media organisation with 30 offices in the world's principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse
situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy.

Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.

What will you be doing?
We are seeking multiple AI, Data Engineering & Analytics Interns to join our team
Positions require knowledge in database systems, data engineering, AI, Machine Learning and Generative AI. Interns will assist the Data Science teams at Argus to develop data tools for our internal/external clients and implement creative internal solutions for specific business problems.

Key Responsibilities:
1] Data Engineer Intern

• Utilize R programming skills to implement data processing tasks efficiently.

• Configure and manage Shiny applications for real-time data ETL & processing.

• Design and implement data storage solutions using OracleSQL.

• Utilize AWS services such as S3, EC2, and Lambda for data processing and storage.

• Develop asynchronous APIs for efficient data retrieval and manipulation.

• Collaborate with the team to optimize data workflows, metadata tagging and enhance overall system performance.

• Assist in managing & maintaining datasets with a focus on data integrity and security.

• Support the team in troubleshooting and resolving data-related issues.

• Communicate findings clearly and succinctly to technical and non-technical audiences.

2] Data Scientist Intern (Analytics & GenAI)

• Analyze Pricing data from disparate data sources.

• Document and communicate technical/analytic results for a non-technical audience.

• Responsible for conducting and designing quantitative analytics utilizing advanced data models, both structured and unstructured.

• Collaborate with business decision makers and computing staff to develop and/or deploy computational approaches to business processes.

• Derive insights from enriched content data set that are actionable for the business.

• Design, develop, and implement novel language modeling algorithms for unique use cases involving Machine Learning,
Large Language Model/Generative AI and evaluate LLM models on statistical tests, business metrics and bias.

• Evaluate accuracy and quality of the designed models as well as data sources.

Required Skills:

• Good understanding of advanced Statistics, Probability, Machine and Deep Learning algorithms.

• Good knowledge of SQL, preferably in Oracle or MySQL, including stored procedures, functions, and triggers

• Good knowledge of R (incl., R Shiny applications) and Python.

• Good knowledge of modular coding, version control systems (., Git) and Unit Testing.

• Research and development experience in Prompt Engineering, Large Language Models (LLM), NLP and Generative AI.

• Data cleaning and transformation capabilities.

• Excellent communication skills.

• Pursuing bachelor's or master's degree in computer science or similar field.
Personal Attributes:

• Enthusiasm toward learning new techniques, algorithms, and programming languages.

• Critical thinking & problem-solving Skills.

• Ability to interact with non-technical people in plain language.

• Innovative thinker with good problem-solving abilities and attention to detail

• Numerically proficient.

• Self-motivated with ability to work independently, prioritizing tasks to meet deadlines.

• Customer service focused.

Benefits:

• Stipend + Travel allowance

• Location: - BKC, Mumbai

• Extensive on-the-job training.

• Exciting opportunity to work on production-grade projects in a dynamic and collaborative global work environment.

• Opportunities for professional growth and development.

Hours:
3 days (10 am to 7pm IST) and 2 days (11 am to 8 pm IST) - Flexible depending on work schedule/project commitments, with a
one-hour lunch break.