1151 Probability Jobs - Page 10

Location - Bangalore/ Gurgaon Skills/ Qualifications Required: Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling) , NLP Expertise in Demand Forecasting Proficient in tools / languages like SQL, Python & PySpark Good understanding of Probability & Statistics Hands-on experience in Azure Good communication skills Job Responsibilities Data collation, processing, cleaning & transformation along with feature engineering and model development. Hands-on with model training, evaluation & fine tuning. Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s) Develop & implement various customer segmentation, LTV & marketing campaign optimization models. Actively own & manage client deliverables. Effectively engage with client & translate client business requirements into equivalent analytical problems. Understand data and different platforms used by the client. Actively contribute towards design methodology for problem solving. Analyze large & complex data sets to derive valuable insights.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

We have Urgent Requirement for experienced Mathematics, Physics, Chemistry, Biology, Computer Science, Statistics, Economics faculty members for high School Students. Requires excellent communication, presentation, and teaching skills. Faculty members are responsible for research, design, development, and teaching skills. Requires at least 3 plus years of teaching experience. Location : - Online

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory. Research Objectives: As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor's axis. A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile: Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field. Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions. Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details: Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing: Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Key Result Areas ( Max 1325 Characters) Supporting Actions (Max 1325 Characters) ECL Provision computation System application Management IRAC Provision computation Template worksheet computation Regulatory Reporting Monthly reporting to regulator Bureau Reporting Monthly reporting to Bureau ICAAP Testing Annual Assessment Audit Actionable Manage the conduct of audit and Provide maintain data trails Job Purpose - To calculate the Credit Cost via Expected Credit Cost Model(ECL) as per IND AS requirements along with comparison with IRAC regulatory Norms. To monitor and maintain the ECL model along with computation of input parameters like Probability of Default ( PD) , Loss given default (LGD) at quarterly intervals. Back testing of the ECL Model for efficiency and Forecasting of Credit Cost. Internal Capital Adequacy Assessment Process (ICAAP) Annual review and Forecasting. Monthly Regulatory Reporting to NHB of organisation data along with record maintenance and to provide clarification in case of any Observations. Risk model building along with analytics and testing and validation of such models. Policy formulation based on risk models and monitoring the portfolio behaviour and changes in model for improvements in model efficacy Analyse Mortgage Portfolio trends, patterns and Segment Risks. Preparation of Various Risk Relevant MIS and Presentation for Policy formulation and decision making. Process improvements & Automation along with for Data sanity for reporting’s to internal and external stakeholders.

The Opportunity Support decision-making based on market data, collaborating on nurturing a data-driven culture. Gather, interpret data and analyze results using analytics, research methodologies and statistical techniques, assessing BU and GPGs needs, playing a key role during the M&S yearly cycle (mainly Market Input Market Outlook -MIMO, Strategic Planning, Global Target Setting -GTS). How You’ll Make An Impact Being the person of reference in the GPG, together with the GPMM, on the market intelligence and analytical tools, dashboards, excel-based files, SalesBI/ PowerBI /STRATOS/Anaplan/MIS. GPG Mekko/STRATOS preparation, production and alignment for the main Hitachi Energy Global processes: Global Target Setting (GTS) and Marketing Input Market Outputs -historical product and market review- (MIMO). Order Estimates, BU forecast models, Market sizes/shares, PIE by country/product/segment and Market/segment validation. Collect data and provides sound business and competitor intelligence analyses related to market and trends. Participates with Management to contribute to definition of strategic plans and support relevant implementation. Support the key strategic initiatives of the GPG, collecting feedback and providing insights to improve hit-rate. Assists in the development of business analysis tools to support global, regional, and local marketing & sales teams (eg. STRATOS/Anaplan). Support on the Demand vs supply Orders Received budget mapping (yearly, after GTS). Market Intelligence System (MIS) updates for the GPG. Master Data checks and validation for the related GPG. GPG Product portfolio analysis and support. Develop and implement data analyses, leverage data collection systems and other strategies that optimize statistical efficiency and quality in their GPG. Act as a liaison between HUBs, GPGs and BU, analyzing and interpreting data involving company procedures, policies and workflows. Evaluate key performance indicators (KPIs), provide ongoing reports, and recommend business plan updates. Proactively monitors and strives to maintain high levels of data quality and completeness. Extracting and analyzing data from sales/financial tools and other relevant sources to measure progress of specific activities or milestones for the defined processes and initiatives. Providing ad-hoc analysis based on business needs (channels, segments, geographic areas, top accounts). Developing and maintaining reports and dashboards (including but not limited to Salesforce.com). Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background Bachelor’s degree in engineering, mathematics, economics or equivalent qualification. Experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. Ability to write reports and present findings in a professional way (MS power point, excel). Experience in SFDC and PowerBI for developing reports and dashboards. Basic Intermediate statistical knowledge: Linear Regression, Correlation, cross tabs, elementary probability, and intermediate logic would be beneficial. Intermediate change management skills: analysis, conclusion, recommend, present. Good marketing and sales experience (product knowledge and market drivers may help a lot while working on market estimation models). Strong attention to detail and ability to work under tight deadlines. Proactive and self-motivated. Passion, Integrity and Energy. Excellent MS Excel/PowerPoint/SharePoint skills Proficiency in both spoken & written English language is required Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We employ around 45,000 people in 90 countries who each day work with purpose and use their different backgrounds to challenge the status quo. We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 5+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Posted On: 15 Jul 2025 Location: Noida, UP, India Company: Iris Software Why Join Us? Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? It’s happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. Job Description Mandatory Skills 8+ years’ relevant experience in Business Analyst role delivering projects using the agile methodology for Risk (preferably Credit Risk in Investment or Corporate Banking ) Exposure on Grading of counterparties, Limit Management & Credit Reviews Understanding of Risk Metrics - Probability of Default, Loss Given Default & Exposure at Default Product Knowledge – Derivatives, Fixed incomes, Equities etc Experience of working with SQL Queries and data models using SQL based tools . Ability to assimilate information quickly, make informed decisions, ability to use own initiative to resolve issues/ investigate and find solutions. Experience of preparing and issuing a range of key business analysis deliverables Regular and confident interaction with end-users and customers having strong focus on delivering strategic solutions for the business. Proven experience of working within Software development lifecycle Defining requirements, testing & implementation Working in medium to large scale change initiatives Working with Agile Methodologies & tools E.g. Jira & Confluence Understanding data concepts and being able to perform data analysis. Flexible and adaptable working style to collaborate with multiple stakeholders Excellent verbal and written communication skills. Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Education Qualification: B.Tech or MCA Mandatory Competencies BA - SQL Development Tools and Management - Development Tools and Management - JIRA BA - Business Knowledge Beh - Communication and collaboration QA - Agile Methodology BA - Business Analyst - Requirement Gathering Perks and Benefits for Irisians At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees' success and happiness.

We are looking for high-conviction, research-backed traders and analysts who can generate and short-to-medium term stock and options trade ideas for DailyTrades.in. You will be responsible for identifying alpha-generating opportunities, providing clear entry/exit plans, and tracking trade outcomes. Responsibilities: Scan markets daily to identify high-probability trades in equities and derivatives generate trade ideas with: Entry range Target price Time horizon (1–3 months typically) Risk parameters (stop loss if any) Track live P&L of recommendations Share rationale for each trade using charts, news, or fundamentals Work with our product and compliance team to publish trades on the platform Preferred Expertise: Strong understanding of technical indicators: EMA, RSI, chart patterns Fundamental analysis (for swing trades) Options trading strategies: spreads, directional bets and headge . Experience: 1-3 years minimum in equity/derivatives trading or research. Job Types: Full-time, Permanent, Freelance Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Paid sick time Paid time off Work Location: In person

Tech Stack Backend - Python/Node/Nest Frontend - Angular/React Location - Open Roles and Responsibilities: We are seeking a highly skilled Full Stack Lead with Python skills and a strong background in Machine Learning to design, develop, and implement cutting-edge solutions using unsupervised learning methods. The ideal candidate will have hands-on experience with various ML algorithms and frameworks, and a solid understanding of data processing and analysis. Key Responsibilities: Design and implement scalable web applications and platforms using technologies such as Typescript, NestJS, Angular, NodeJS, ExpressJS, TypeORM, and Postgres Good understanding of web and REST API design patterns Experience with AWS technologies such as EKS, ECS, ECR, Fargate, EC2, Lambda, ALB will be an added advantage Hands-on experience with unit test frameworks like Jest Good working knowledge of JIRA, Confluence, Git Basic knowledge of Kubernetes and Terraform for infrastructure as code Basic knowledge of Docker compose and Docker Strong understanding of microservices architecture and ability to implement components independently Proven track record of problem-solving skills Excellent communication skills Develop, test, and maintain robust Python code for machine learning applications. Implement unsupervised learning algorithms to uncover hidden patterns and insights from large datasets. Collaborate with cross-functional teams to gather requirements and deliver scalable ML solutions. Perform data preprocessing, feature extraction, and data augmentation to enhance model performance. Design and conduct experiments to validate and optimize unsupervised learning models. Utilize ML libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) to build and deploy models. Document and present findings and insights to stakeholders in a clear and concise manner. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Proven experience as a Python Developer, with a strong portfolio of ML projects. In-depth knowledge of unsupervised learning techniques (e.g., clustering, anomaly detection, dimensionality reduction). Proficiency in Python and ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Experience with data preprocessing and transformation techniques. Strong understanding of statistics, probability, and linear algebra. Ability to work independently and as part of a team in a fast-paced environment. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and verbal. Preferred Qualifications: Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with cloud platform like AWS and deploying ML models in production. Knowledge of deep learning architectures and frameworks. Prior experience in a relevant industry (e.g., healthcare, finance, retail). Publications or contributions to open-source ML projects. Primary Skill: Full stack + Python + AI/ML

About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business Line/Function GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai. Job Title Data Scientist (Tabular & Text) Date Department: Front Office Support Location: Mumbai Business Line / Function Global Markets – Data & AI Lab Reports To (Direct) Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. Documenting each step of the development and informing decision makers by presenting them options and results. Ensure the integrity and security of data. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). Ability to write clear and concise code in python. Intellectually curious and willing to learn challenging concepts daily. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills Analytical Ability Education Level Bachelor Degree or equivalent Experience Level At least 1 year

About the Team The Data Science team at Navi plays a central role in building intelligent solutions that power our products and drive business impact. We work across key domains such as Lending, Collections, KYC, UPI Growth and Ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc. to deliver end-to-end solutions. About the Role As a Data Scientist 1 at Navi, you’ll be an integral part of a team that’s building scalable and efficient solutions across lending, insurance, investments, and UPI. You won’t just be solving predefined problems - you’ll help define them, working hands-on across a variety of domains including computer vision, tabular data, natural language processing, speech recognition, and Generative AI. You’ll have the opportunity to apply cutting-edge techniques to real-world challenges, while collaborating closely with cross-functional teams to deliver measurable business impact. This isn’t just a role - it’s a chance to contribute to the future of fintech through innovative, high-ownership work that makes a visible difference. What We Expect From You End-to-End Project Ownership: Take complete responsibility for data science projects—from building models to deploying them—ensuring delivery of measurable business outcomes. Cross-Functional Collaboration: Work closely with Product, Engineering, and Business teams to translate problem statements into scalable, real-world data science solutions. Technical Expertise: Apply advanced techniques across machine learning, deep learning, NLP, computer vision, and generative AI to address complex business challenges. Diverse Data Handling: Work confidently with tabular, text, image, and speech data, choosing the right models and tools to extract actionable insights. Innovation & Experimentation: Proactively explore and implement new algorithms and approaches, consistently pushing the boundaries of what’s possible in fintech. Model Validation & Monitoring: Ensure robust model validation, ongoing monitoring, and performance tracking in production to guarantee continuous business value. Culture Contribution: Contribute to a culture of learning, peer review, and technical excellence within the data science team. Must Haves Bachelor's or Master's in Engineering or equivalent. Strong Python programming skills and SQL skills; experience with pyspark / scala is a plus Proficiency in pandas, scikit-learn and familiarity with TensorFlow/PyTorch Strong data analysis and visualisation skills Understanding of machine learning / deep learning concepts, probability theory, optimisation techniques and statistical concepts Strong interpersonal and collaborative skills Excellent verbal and written communication skills Inside Navi We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold — we’re building tech-first solutions that work at scale, with a strong customer-first approach. Founded by Sachin Bansal & Ankit Agarwal in 2018, we are one of India’s fastest-growing financial services organisations. But we’re just getting started! Our Culture The Navi DNA Ambition. Perseverance. Self-awareness. Ownership. Integrity. We’re looking for people who dream big when it comes to innovation. At Navi, you’ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you’re driven to deliver real value to customers, no matter the challenge, this is the place for you. We chase excellence by uplifting each other—and that starts with every one of us. Why You'll Thrive at Navi At Navi, it’s about how you think, build, and grow. You’ll thrive here if: You’re impact-driven : You take ownership, build boldly, and care about making a real difference. You strive for excellence : Good isn’t good enough. You bring focus, precision, and a passion for quality. You embrace change : You adapt quickly, move fast, and always put the customer first.

Position 1: Junior Research Fellow (JRF) / Senior Reserch Fellows (SRF) Research Area: Quantum Machine Learning / Mathematical Foundations of Deep Learning Job Description: The CVPR Lab at IIT Ropar is seeking a highly motivated Junior Research Fellow (JRF) to contribute to research in quantum machine learning and theoretical deep learning. The selected candidate will assist in the development of novel algorithms, perform rigorous mathematical analysis, and contribute to high-impact publications under expert supervision. Eligibility: • B.Tech / M.Tech in Computer Science, Artificial Intelligence, Data Science, Mathematics and Computing, Engineering Physics, Electrical and Electronics or related fields • Strong foundation in linear algebra, probability theory, and machine learning • GATE/NET qualification is mandatory for B.Tech graduates, and preferred (not mandatory) for M.Tech candidates Desired Skills: • Proficiency in deep learning frameworks such as PyTorch or TensorFlow • Familiarity with quantum computing platforms like Qiskit or PennyLane • Strong analytical and research aptitude —————-……………————— Position 2: Postdoctoral Fellow Research Area: Quantum Machine Learning / Theoretical Deep Learning Job Description: The CVPR Lab invites applications for a Postdoctoral Fellow position to lead research at the intersection of quantum computing and deep learning. The selected candidate will be expected to work independently on advanced theoretical problems, contribute to ongoing funded projects, and mentor junior researchers in the lab. Eligibility: • Ph.D. in Computer Science, Artificial Intelligence, Data Science, Mathematics and Computing, Engineering Physics, Electrical and Electronics or a closely related discipline • Demonstrated record of high-quality research publications in top-tier conferences or journals Desired Skills: • Expertise in variational quantum algorithms, quantum kernel methods, or quantum-enhanced deep learning • Strong theoretical background in topology, geometry, or partial differential equations (PDEs) • Excellent academic writing and collaborative research skills ——————-………………——————- 📍 Location: CVPR Lab, IIT Ropar

Job Summary As a Central Investigation Team member, primary role is statistical analysis of manufacturing data for the probable root cause and for other technical issues at site. Assessment for Dissolution similarity as part of submission requirements. Statistical support for query response. Other statistical analysis for content uniformity, probability of dissolution failures. Area Of Responsibility Statistical analysis of process parameter and material attributes, to identify probable route cause. Shelf life extrapolation for filling and query requirements. Inverse extrapolation for release limits identification. Multivariate analysis for manufacturing investigations. Dissolution similarity by model dependent and independent methods. DoE for route cause investigation and confirmation as applicable Process capability assessment as needed. Training of CFT’s on Basic statistic and stability analysis Statistical support for justifying specification limits Content uniformity assessment as per need, based on ASTM E2709/E2810