data scientist

data analyst

data engineer

data scientist (quant research) - gm data & ai lab Jobs in Mumbai

data scientist (quant research) - gm data & ai lab

data scientist associate - fraud risk Jobs in Mumbai

data scientist associate - fraud risk

data scientist quant research gm data ai lab

BNP Paribas

<div>
 
 About BNP Paribas Group
 
 
 
 
 BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees
 
 . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking &amp; Services) and Corporate &amp; Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate &amp; Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region.
 
 
 
 About BNP Paribas India Solutions
 
 
 
 Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe 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 6000 employees, to provide support and develop best-in-class solutions.
 
 
 
 About Business Line/Function
 
 
 
 GM Data &amp; 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 (Quant Research)
 
 
 
 Date
 
 
 
 Department:
 
 
 Front Office Support
 
 
 Location:
 
 
 Mumbai
 
 
 
 Business Line / Function
 
 
 
 Global Markets &ndash; Data &amp; AI Lab
 
 
 
 Reports To
 
 
 
 (Direct)
 
 
 
 Grade
 
 
 
 (if applicable)
 
 
 (Functional)
 
 
 
 Number Of Direct Reports
 
 
 
 NA
 
 
 
 Directorship / Registration
 
 
 
 NA
 
 
 Position Purpose
 
 
 Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. 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 &amp; industry to drive innovation and to make a real impact on our businesses.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain AI models on time series &amp; financial date for predictive modelling, including data collection, analysis, feature engineering, model development, evaluation, backtesting and monitoring.
 </li>
 <li>
 Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements.
 </li>
 <li>
 Working with expert colleagues, Quant and business representatives to examine the results and keep models grounded in reality.
 </li>
 <li>
 Documenting each step of the development and informing decision makers by presenting them options and results.
 </li>
 <li>
 Ensure the integrity and security of data.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 Technical &amp; Behavioral Competencies
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a numeric subject with understanding of economics and markets (eg.: Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics)
 </li>
 <li>
 Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra.
 </li>
 <li>
 Knowledge of Monte Carlo Simulations, Bayesian modelling &amp; Causal Inference.
 </li>
 <li>
 Experience with Machine Learning &amp; Deep Learning concepts including data representations, neural network architectures, custom loss functions.
 </li>
 <li>
 Proven track record of building AI models on time-series &amp; financial data.
 </li>
 <li>
 Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels).
 </li>
 <li>
 Ability to write clear and concise code in python.
 </li>
 <li>
 Intellectually curious and willing to learn challenging concepts daily.
 
 
 </li>
 </ul>
 
 Skills Referential
 
 
 
 Behavioural Skills:
 
 
 Ability to collaborate / Teamwork
 
 
 Critical thinking
 
 
 Communication skills - oral &amp; written
 
 
 Attention to detail / rigor
 
 
 
 Transversal Skills
 
 
 
 Analytical Ability
 
 
 
 Education Level
 
 
 
 Bachelor Degree or equivalent
 
 
 Experience Level
 
 
 At least 2 years
</div>

Data Scientist (Quant Research) - GM Data & AI Lab

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI And DATA - Gen AI - Senior

Unilever

<div>
 
 Job Title:
 
 Data Scientist
 
 
 
 Function:
 
 Supply Chain
 
 
 
 Location:
 
 Mumbai HO
 
 
 
 Req ID:
 
 R-1171037
 
 
 
 Overview
 
 
 
 We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyse consumer behaviour, and unlock opportunities that drive growth in the fast-paced FMCG e-commerce environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Insights: Collect, clean, and analyse large datasets from multiple sources (sales, supply chain, customer behaviour) to generate actionable insights.
 </li>
 <li>
 Predictive Modelling: Develop and deploy machine learning models to forecast demand, optimize inventory, and improve product availability.
 </li>
 <li>
 Supply Chain Optimization: Use advanced analytics to identify inefficiencies, reduce stock-outs, and improve On-Time-In-Full (OTIF) performance.
 </li>
 <li>
 Dashboard Development: Build and maintain MIS dashboards to monitor KPIs such as fill rate, in-stock %, inventory days on hand, and customer service metrics.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with E-commerce, Supply Planning, Customer Operations, and IT teams to deliver scalable data solutions.
 </li>
 <li>
 Innovation &amp; Capability Building: Stay updated with industry trends, tools, and techniques to continuously enhance analytics capabilities.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s degree in data science, Statistics, Computer Science, or related field
 </li>
 <li>
 3&ndash;5 years of experience in data science, preferably in FMCG or e-commerce
 </li>
 <li>
 Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Experience with machine learning frameworks
 </li>
 <li>
 Solid understanding of supply chain, retail, or FMCG business models
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills
 
 
 </li>
 </ul>
 All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent - please verify before proceeding
</div>

Data Scientist

Associate Consultant

Dholakia Lab Grown Diamond

<div>
 
 
 Job Title:
 
 Data Scientist &ndash; Jewellery Manufacturing &amp; Retail Analytics
 
 
 
 
 
 
 Experience:
 
 2&ndash;6 years
 
 
 
 Location:
 
 Surat / Mumbai
 
 
 
 Industry:
 
 Diamond and Jewellery Manufacturing &amp; Retail
 
 
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Data Scientist with a strong business mindset
 
 to solve real-world problems in the jewellery value chain &mdash; not just build models.
 
 
 This role sits at the intersection of
 
 data, finance, supply chain, and leadership
 
 . You&rsquo;ll work on demand forecasting, pricing, inventory optimisation, and margin analysis while accounting for
 
 gold price volatility, seasonality, festivals, promotions, and regional demand patterns
 
 .
 
 
 
 
 
 If you enjoy turning messy, operational data into clear business decisions, this role is for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain
 
 demand forecasting models
 
 considering seasonality, festivals, promotions, and regional trends
 </li>
 <li>
 Develop
 
 pricing and margin models
 
 factoring gold rate volatility, labour costs, and BOM structures
 </li>
 <li>
 Optimise
 
 inventory planning
 
 for weight-based SKUs (grams, carats, designs, variants)
 </li>
 <li>
 Perform
 
 profitability and contribution analysis
 
 at SKU, category, and channel levels
 </li>
 <li>
 Partner closely with
 
 finance, supply chain, sales, and senior leadership
 
 to translate insights into actions
 </li>
 <li>
 Create clear dashboards, analyses, and narratives that support
 
 executive decision-making
 
 </li>
 <li>
 Continuously improve data quality, assumptions, and model performance based on real business feedback
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 2&ndash;6 years of experience as a
 
 Data Scientist / Analytics professional
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 (Pandas, NumPy, Scikit-learn)
 </li>
 <li>
 Solid knowledge of
 
 statistics, regression, and time-series forecasting
 
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and working with large, imperfect datasets
 </li>
 <li>
 Ability to explain complex analysis in
 
 simple business language
 
 </li>
 </ul>
 
 
 
 
 
 Good to Have (Strong Advantage)
 
 
 <ul>
 <li>
 Experience in
 
 retail, manufacturing, jewellery, FMCG, or consumer goods
 
 </li>
 <li>
 Exposure to
 
 weight-based inventory
 
 , costing, pricing, or BOM analytics
 </li>
 <li>
 Understanding of
 
 gold pricing, wastage, making charges, or multi-component SKUs
 
 </li>
 <li>
 Experience working directly with
 
 CXOs or business heads
 
 </li>
 </ul>
 
 
 
 
 
 What We Value
 
 
 <ul>
 <li>
 Business-first thinking over theoretical perfection
 </li>
 <li>
 Curiosity and ownership &mdash; you ask
 
 why
 
 , not just
 
 what
 
 </li>
 <li>
 Comfort working in ambiguity and evolving data environments
 </li>
 <li>
 Strong collaboration across non-technical teams
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on
 
 high-impact, real-world jewellery problems
 
 , not sandbox datasets
 </li>
 <li>
 Direct exposure to
 
 leadership decision-making
 
 </li>
 <li>
 Opportunity to shape how data drives pricing, inventory, and profitability at scale
 </li>
 <li>
 Fast-growing organisation with a strong focus on
 
 analytics-led growth
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
 </li>
 </ul>
 
 
</div>

KGK Group

<div>
 
 
 Title: Chief Technology Officer (CTO)
 
 
 
 
 Reporting to: CEO / Director of Growth
 
 
 
 
 Location: Surat
 
 
 
 
 Type: Full‑time
 
 
 
 
 
 
 
 Role summary
 
 
 
 
 The Chief Technology Officer (CTO) will lead all technology initiatives for an IT company focused on the diamonds business, with a strong emphasis on AI, BI/analytics, infrastructure modernization, and cloud migration. The CTO will translate business growth directions from the CEO / Growth Director into executable technology roadmaps and deliver measurable outcomes across products, platforms, and internal systems.&ZeroWidthSpace;
 
 
 
 
 
 
 
 Key responsibilities
 
 
 
 
 Define and own the technology vision and roadmap for the diamond&rsquo;s domain, aligned with business growth, digital transformation, and profitability goals.&ZeroWidthSpace;
 
 
 
 
 Lead AI and data/BI initiatives (forecasting, pricing, grading/quality analytics, recommendation engines, process automation) that create competitive advantage and improve operational efficiency.&ZeroWidthSpace;
 
 
 
 
 Translate directions from the Growth Director / CEO into clear technology programs, milestones, and KPIs, and provide regular progress, risk, and benefit realization updates.&ZeroWidthSpace;
 
 
 
 
 Architect and oversee enterprise data platforms, data governance, and integration between ERP, inventory, manufacturing, CRM, e‑commerce, and lab systems.&ZeroWidthSpace;
 
 
 
 
 Design and execute the cloud migration strategy (assessment, roadmap, security, tools, cutover plans) ensuring business continuity, scalability, and cost optimization.&ZeroWidthSpace;
 
 
 
 
 Oversee on‑premise and cloud infrastructure (servers, networks, storage, endpoints) to ensure reliability, performance, and security across offices and production locations.&ZeroWidthSpace;
 
 
 
 
 Drive hardware refresh and modernization (production‑floor devices, scanners, imaging/grading systems, end‑user devices, and network gear) in line with security and performance standards.&ZeroWidthSpace;
 
 
 
 
 Establish and enforce robust cybersecurity, data protection, backup/DR, and access control practices across on‑prem and cloud environments.&ZeroWidthSpace;
 
 
 
 
 Build and lead a high‑performing technology team, including hiring, mentoring, performance management, and vendor/partner governance.&ZeroWidthSpace;
 
 
 
 
 Evaluate and manage external technology partners (cloud providers, AI platforms, ERP/CRM vendors, diamond‑tech vendors) to accelerate delivery and innovation.&ZeroWidthSpace;
 
 
 
 
 Implement strong IT governance, documentation, and change‑management processes balancing speed of innovation with stability and compliance.&ZeroWidthSpace;
 
 
 
 
 Additional responsibilities &ndash; organization, AI, and SDLC
 
 
 
 
 Redesign the IT organization structure and compensation model, including moving the team to a performance‑linked variable pay structure tied to clear, measurable KPIs and project outcomes.&ZeroWidthSpace;
 
 
 
 
 Drive adoption of AI‑powered tools in development, testing, DevOps, support, and analytics to significantly improve productivity and enable a leaner engineering team over time without compromising delivery quality.&ZeroWidthSpace;
 
 
 
 
 Standardize and enforce a company‑wide SDLC, including coding standards, branching strategy, code reviews, CI/CD, testing levels, documentation, and release management for all products and projects.&ZeroWidthSpace;
 
 
 
 
 Establish continuous improvement loops (metrics, retrospectives, tooling reviews) to systematically remove waste from the SDLC and optimize capacity, cost, and quality.&ZeroWidthSpace;
 
 
 
 
 
 
 
 Required qualifications
 
 
 
 
 15&ndash;18+ years of experience in technology leadership roles, including 5+ years as Architect / Head of Technology / CTO.&ZeroWidthSpace;
 
 
 
 
 Strong background in enterprise application design, data platforms, and integrations, with hands‑on exposure to AI/ML or advanced analytics projects.&ZeroWidthSpace;
 
 
 
 
 Proven track record of leading cloud migration or hybrid‑cloud transformations (AWS/Azure/GCP) in mid‑size or enterprise environments.&ZeroWidthSpace;
 
 
 
 
 Experience managing infrastructure and hardware (data centres, networks, endpoints) along with cloud platforms.&ZeroWidthSpace;
 
 
 
 
 Domain experience in diamonds, jewellery, gems, luxury retail, or manufacturing/supply‑chain intensive businesses is highly desirable.&ZeroWidthSpace;
 
 
 
 
 Strong stakeholder management and communication skills, with the ability to work closely with business leadership and non‑technical teams.&ZeroWidthSpace;
 
 
 
 
 Strategic and hands‑on; comfortable switching between architecture/roadmap and practical problem solving.&ZeroWidthSpace;
 
 
 
 
 Outcome‑oriented with a bias for execution, measurement, and continuous improvement.&ZeroWidthSpace;
 
 
 
 
 Comfortable in fast‑growing, entrepreneurial environments and able to set up processes, standards, and teams from scratch.
 
 
 
 
 
 
 
 
</div>

Chief Technology Officer

Turing

<div>
 
 
 About the Role:
 
 
 
 Join us as an Research Analyst and help shape the future of large language models (like GPT). You&rsquo;ll work on fascinating analytical questions, research real-world scenarios, and create structured content that improves how AI understands and responds. No AI experience is required&mdash;just strong English skills, sharp reasoning, and curiosity.
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Read, analyze, and break down large content into smaller logical blocks.
 </li>
 <li>
 Validate claims and conduct online research to ensure accuracy.
 </li>
 <li>
 Create puzzles, scenarios, and tricky questions to train AI models.
 </li>
 <li>
 Provide clear, structured feedback to fine-tune responses
 </li>
 <li>
 Collaborate with global teams in a fully remote setup.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 Excellent English comprehension and writing skills.
 </li>
 <li>
 Strong analytical and creative problem-solving ability.
 </li>
 <li>
 Detail-oriented with good research and feedback skills.
 </li>
 <li>
 No AI experience required
 </li>
 <li>
 Bachelor&rsquo;s in Engineering, Literature, Journalism, Arts, Statistics&mdash;or relevant experience.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Learn how advanced AI systems are trained.
 </li>
 <li>
 Be part of cutting-edge projects with top LLM companies.
 </li>
 <li>
 Potential for contract extension.
 </li>
 <li>
 Freelance perks: flexibility, global collaboration, and future-proof skills.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 Commitments Required: 40 hours per week with 4 hours of overlap with PST.
 </li>
 <li>
 Engagement type: Contractor assignment/freelancer (no medical/paid leave)
 </li>
 <li>
 Duration: 1 month.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will be sent an automated challenge (60 mins).
 </li>
 <li>
 Once you clear the challenge, we will reach out to you for an interview.
 </li>
 <li>
 Once you clear the interview, you are ready to go!
 </li>
 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Turing, based in San Francisco, is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises. We advance cutting-edge research with high-quality data, training pipelines, and top AI talent across coding, reasoning, STEM, multilinguality, multimodality, and agents. We also help enterprises turn AI from proof-of-concept into proprietary systems that deliver reliable performance, measurable impact, and real results on the P&amp;L.
 
 
 
 
 
 
 After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
 
 
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Research Analyst

Explore 200+ Data scientist quant research gm data ai lab in Mumbai this December. Find roles across top companies and apply now to boost your career.

200 data scientist quant research gm data ai lab jobs IN Mumbai

Data Scientist (Quant Research) - GM Data & AI Lab

EY - GDS Consulting - AI And DATA - Gen AI - Senior

Data Scientist

Associate Consultant

Data Scientist

Chief Technology Officer

Remote Research Analyst