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

Position:

• Data Scientist

Company:

• Turing

Location:

• India

Job type:

• Contract assignment

Job mode:

• Remote work

Job requisition id:

• 17843

Years of experience:

• Open to freshers and early career professionals

• Candidates with zero to three years of experience can apply

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Company description

• Turing is an international company that focuses on artificial intelligence and data focused solutions for global clients

• The company develops advanced systems and digital products that support automation, structured decision making and intelligent processing

• Turing supports leading research teams and enterprise clients in the design and maintenance of intelligent systems that handle model training, reasoning, coding tasks, multilingual processing and agent based execution

• The company works with many well known technology organizations and delivers solutions for building and improving large models

• Turing maintains a large network of engineering and science professionals who contribute to shaping AI projects

• The company has an AI centered talent platform that connects software engineers and data professionals with enterprise clients

• This platform evaluates incoming talent through a strong assessment process and places them on projects related to AI training, performance enhancement, and business focused application development

• Turing supports innovation by connecting clients with highly skilled contributors from different countries, allowing teams to scale rapidly

• The company has received recognition from prominent business and technology publications for growth and its contributions to the AI space

• Turing highlights transparency, performance, and strong engineering culture while also supporting flexibility in working arrangements

• Leadership includes professionals who previously worked at the most respected tech organizations in the world such as Microsoft, Google, Amazon, Meta and others

• Turing stands as an influence in the AI sector by constantly working on new ideas and research and converting those innovations into applied business solutions

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Profile overview

• The role focuses on building intelligent models and developing analytical workflows to solve business and research oriented challenges

• The candidate will handle model training exercises where data is processed and prepared for fine tuning tasks

• The work involves evaluating output generated by large models and identifying areas for refinement

• The candidate will contribute to workflows built around supervised fine tuning and reinforcement learning with human feedback

• The role requires the ability to test performance of models and adjust settings to improve accuracy and alignment based on project expectations

• The position supports advanced projects where models are trained for language understanding, reasoning and structured responses

• The candidate will analyze large datasets from public sources such as open data libraries, government based databases and competition platforms

• The analysis will support decision making and produce insights that assist researchers and engineering teams

• The candidate will write code in Python and ensure that logical steps and reasoning are clearly described so that other contributors can continue the work without ambiguity

• Clear thinking and strong documentation habits are necessary in order to explain how data was processed, why a particular model was chosen and how results were interpreted

• Collaboration is an important part of the role since the candidate will interact with researchers, engineers, project leads and cross functional stakeholders

• The position provides exposure to work that influences global AI initiatives, giving the candidate an opportunity to develop strong experience in data and AI research

• This role is suited for individuals who enjoy working with complex data, solving problems, experimenting with models and refining outputs through testing and improvement cycles

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Qualifications

• Academic background is not the only deciding factor and applicants from computer science, engineering or any related fields are welcome

• A bachelor or master level education in computer science or engineering is acceptable but candidates with relevant hands on skills are equally considered

• Strong Python skills are required since most of the work involves model training, data processing, cleaning and evaluation

• The candidate should be comfortable performing data analysis which includes reading datasets, applying transformations and knowing how to run exploratory exercises

• The ability to reason in a structured manner is important because working on model fine tuning requires clarity in approach

• Problem solving ability is essential since the work may involve dealing with unclear datasets or unexpected results

• Candidates must be able to write clear communication notes and record the steps taken in experiments so that the work can be repeated

• A mindset of continuous learning is expected because the field of AI changes quickly and new approaches may be introduced during the project

• Working experience with large language model evaluation or any type of model building is beneficial

• Exposure to data sources from platforms like Kaggle or similar public databases will support faster onboarding

• The candidate should be able to interpret model output and understand whether the result aligns with the goals set by the project

• Curiosity and interest in AI development is encouraged

• Ability to work in a distributed team and willingness to communicate openly are necessary

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Additional info

• Work is fully remote, allowing candidates to contribute from their own location

• The role requires a minimum commitment of four hours in a day and at least twenty hours each week

• Multiple time commitment options are available including twenty hours per week, thirty hours per week or forty hours per week

• The role involves overlap with Pacific Standard Time for a certain number of hours to support collaboration with global partners

• The company operates through a contractor structure which means that medical insurance or paid leave will not be part of this short assignment

• The assignment duration is one month and is expected to begin soon

• Candidates will participate in two interview discussions which take approximately seventy five minutes in total

• These include a technical evaluation and a cultural conversation

• The organization promotes equal opportunity and encourages passionate learners to apply

• This project gives exposure to experts from different countries and offers a chance to learn from high level AI professionals

• The company values results, clear thinking, ownership, and open communication

Please click here to apply.