Turing is hiring for a fresher entry level Data Scientist/Analyst role in India

Position:
Data Scientist / Analyst

Company:
Turing Enterprises, Inc.

Location:
India (Remote opportunity working with US clients)

Job Type:
Contractor (Full-time options available based on commitment)

Job Mode:
Remote

Job Requisition ID:
Not specified

Years of Experience:
0-3 years

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Company Description

• Turing is a global AI powerhouse driving the progress and deployment of intelligent systems at scale.

• The company collaborates with some of the world’s leading AI labs to develop advanced model capabilities in reasoning, coding, agentic behavior, multimodality, multilingual processing, and frontier STEM knowledge.

• It focuses on bridging cutting-edge AI research with practical, real-world solutions that address mission-critical challenges for enterprises.

• Turing’s clients include top organizations across industries, ranging from tech giants to Fortune 500 companies.

• The organization emphasizes innovation, ethics, and inclusivity, offering its team exposure to complex AI systems, continuous learning, and access to frontier-level projects.

• With a fully remote environment, Turing provides professionals around the world the opportunity to collaborate on groundbreaking AI initiatives.

• Turing operates on a global scale, offering engineers and data scientists opportunities to engage with diverse teams and contribute to AI research and product development.

• The company’s core philosophy revolves around advancing AI responsibly while creating real business value and measurable impact.

• It also promotes open communication, structured feedback, and transparent processes to ensure quality results in all AI projects.

• Professionals working with Turing gain access to a robust ecosystem of resources, technical mentorship, and a collaborative global community of researchers and developers.

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Profile Overview

• The Data Scientist / Analyst role at Turing focuses on combining technical, analytical, and business-oriented skills to contribute to AI model development and evaluation.

• The individual will contribute to designing, training, and optimizing AI systems while working closely with global researchers and developers.

• The position demands hands-on experience with Python, data analysis, and logical reasoning to solve real-world challenges.

• Candidates will be responsible for creating, testing, and documenting Python-based solutions that drive model performance.

• The role provides the opportunity to analyze complex datasets from sources such as Kaggle, the UN, or US government repositories to generate actionable insights.

• Collaboration is central to the position, requiring active interaction with teams working on Reinforcement Learning with Human Feedback (RLHF) and Supervised Fine-Tuning (SFT).

• The selected professional will also contribute to the creation of structured evaluation frameworks for large language models.

• Effective communication and clear explanation of reasoning processes in Jupyter notebooks or similar platforms are essential for this role.

• The work environment fosters creativity and encourages exploring new tools, techniques, and algorithms for continuous improvement.

• The role suits individuals eager to shape the future of AI and gain exposure to advanced AI development pipelines.

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Key Responsibilities

• Design and develop efficient, maintainable, and high-quality Python code for AI model training and optimization.

• Conduct structured evaluations to assess and benchmark model performance across various dimensions.

• Analyze data outputs to identify patterns, errors, and areas for refinement in model accuracy and reliability.

• Rank AI model responses according to defined quality parameters, ensuring alignment with human expectations and ethical guidelines.

• Document model evaluations comprehensively with clear reasoning and examples.

• Lead and manage data preparation activities for supervised fine-tuning (SFT) tasks, ensuring dataset quality and completeness.

• Collaborate with data annotators and research teams to implement reinforcement learning processes, including RLHF and reward modeling.

• Innovate and propose new methods to enhance the interpretability and alignment of AI models with user intent.

• Conduct peer reviews for codebases and evaluation documentation to maintain consistency and quality standards.

• Work collaboratively with cross-functional teams to enhance model capabilities, accuracy, and speed.

• Maintain version control, proper code structure, and reproducibility in AI model workflows.

• Experiment with diverse data sources and techniques for creating impactful insights that drive business decisions.

• Integrate novel algorithms and frameworks to enhance data pipelines, evaluation methodologies, and reporting systems.

• Develop readable code that clearly articulates logic, methodology, and analytical conclusions.

• Remain proactive in identifying emerging trends and technologies that can be adopted to optimize AI workflows.

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Required Skills and Competencies

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Proficiency in Python programming and data analysis libraries such as pandas, NumPy, and scikit-learn.

• Analytical acumen with strong problem-solving abilities and critical thinking.

• Strong understanding of statistics, machine learning principles, and optimization techniques.

• Business sense to extract meaningful insights and actionable recommendations from data.

• Excellent written and verbal English communication to collaborate effectively with international teams.

• Experience in using Jupyter notebooks or similar tools to document experiments and code logic.

• Capability to evaluate, compare, and fine-tune models with clear interpretability.

• Ability to handle structured and unstructured data sources efficiently.

• Interest in the ethical and responsible use of AI technologies.

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Additional Information

• Engagement Type: Contractor assignment with flexible weekly hours (20, 30, or 40 hours).

• Minimum commitment required: 20 hours per week with 4-hour overlap with PST working hours.

• Duration: 1-month initial contract, with possibilities for extension based on performance.

• Environment: Fully remote, offering flexibility to work from any global location.

• Compensation and perks vary based on engagement level and project type.

• The selection process includes two rounds — a 60-minute technical interview followed by a 15-minute cultural and offer discussion.

• Successful candidates will have the chance to work on projects for leading global AI companies.

• Freelancers working with Turing benefit from autonomy, professional growth, and exposure to advanced AI domains.

• The organization values consistent performance, transparency, and proactive collaboration.

• Working with Turing offers access to projects with top-tier global clients including Nvidia, Reddit, Snowflake, and Anthropic.

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Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical disciplines.

• Foundational understanding of model development, data preprocessing, and statistical analysis.

• Familiarity with libraries such as TensorFlow, PyTorch, or similar frameworks is an advantage.

• Strong logical reasoning and structured thinking to build reliable AI systems.

• Self-motivated, detail-oriented, and able to manage time efficiently in remote setups.

• Passionate about advancing AI responsibly and contributing to impactful research initiatives.

• Eager to work with teams developing state-of-the-art AI systems across multiple domains.

• Able to maintain proper documentation standards, ensuring transparency in methodologies and findings.

• Adaptable to evolving project scopes and deadlines while maintaining quality output.

• Commitment to continuous learning and keeping pace with new AI technologies.

Please click here to apply.