informatics scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><b>Greetings from TCS!!!</b></div><div></div><div><br>
TCS presents an excellent opportunity for Data scientist Role</div>
<div><b>
Role: </b><b>Datascientist - Python, Machine Learning</b></div>
<div><b>
Desired Experience Range: 4-10 years</b></div>
<div><b>
Location: Mumbai, Kolkata</b></div><div></div><div><br>
Desired Competencies (Technical/Behavioral Competency)</div><div></div><div><b><br>
Must Have-</b></div>
</div></div></div><div><div><div><b>Location</b></div>
<div>Kolkata</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>368357</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Data scientist</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Datascientist - Python, Machine Learning

Interra Information Technologies

<p><b>Job Description: AI Scientist</b></p><p>Location: Remote (serving client in Bangkok, Thailand)</p><p>Employer: Leading System Integration Company</p><p>Experience Level: 3&ndash;7 years</p><p><b>About the Role</b></p><p>Our client, a Bangkok-based automotive company, is embarking on an advanced digital and AI-driven transformation. As part of this journey, we are hiring an AI Scientist through our System Integration firm. The selected candidate will work remotely while collaborating closely with both our internal teams and the client&rsquo;s stakeholders, driving innovative AI solutions in predictive analytics and intelligent systems.</p><p><b>Key Responsibilities</b></p><p>&middot; Develop and deploy predictive analytics models for automotive industry use cases (e.g., demand forecasting, customer behavior, operational efficiency).</p><p>&middot; Leverage Python for advanced data processing, feature engineering, and machine learning pipelines.</p><p>&middot; Work hands-on with Microsoft Azure Cloud for AI/ML workflows, including training, deployment, and scaling models.</p><p>&middot; Collaborate with Databricks for large-scale data engineering and modeling tasks.</p><p>&middot; Contribute to research and application of Large Language Models (LLMs) and Small Language Models (SLMs) in real-world scenarios.</p><p>&middot; Partner with cross-functional teams (data engineers, business analysts, and client stakeholders) to ensure models align with business objectives.</p><p>&middot; Demonstrate a growth mindset&mdash;eager to learn, adopt best practices, and explore emerging AI trends.</p><p>&middot; Communicate findings clearly in fluent English, ensuring transparency and collaboration across distributed teams.</p><p>Required Qualifications</p><p>&middot; 3&ndash;7 years of proven experience in AI, machine learning, or data science roles.</p><p>&middot; Strong foundation in predictive analytics and statistical modeling.</p><p>&middot; Advanced proficiency in Python and related ML libraries (scikit-learn, TensorFlow, PyTorch, etc.).</p><p>&middot; Experience with Azure AI/ML ecosystem.</p><p>&middot; Familiarity with Databricks or readiness to quickly adopt.</p><p>&middot; Understanding of LLMs/SLMs concepts and potential applications.</p><p>&middot; Excellent communication and collaborative attitude in a remote, multicultural environment.</p><p><b>Preferred Qualifications</b></p><p>&middot; Experience in the automotive industry or manufacturing-related domains.</p><p>&middot; Exposure to MLOps practices (CI/CD for ML, model monitoring, governance).</p><p>&middot; Knowledge of data privacy, compliance, and AI ethics.</p><p><b>What We Offer</b></p><p>&middot; 100% Remote Work with flexible collaboration hours.</p><p>&middot; Opportunity to contribute to high-impact projects for a leading automotive company in Bangkok.</p><p>&middot; Dynamic and supportive work culture within a System Integration company driving innovation globally.</p><p>&middot; Competitive compensation and clear career progression pathways.</p><p>Job Type: Full-time</p><p>Work Location: Remote</p>

AI Scientist

JP Techno Park

<p>Gen AI- B2/ C1<br/>Must Have Skillsets:</p><p>Data Science<br/>Machine Learning<br/>Gen AI</p><p>Communication skills and job stability is mandatory criteria for selection.<br/>Experience 5 years at least and preferably tier 1 &amp; 2 colleges.</p><p><b>Required Skills</b>:</p><p>1) Transformer models either fine-tuning or training on open source Transformer based model.build and fine tuning large scale language model using pytorch .</p><p>2) Should have done projects on LLM Rag Gen Ai</p><p>3) hands on experience on python coding.</p><p>4) should have done Gen Ai project</p><p>5)Machine learning or Deep learning any One is mandatory</p><p>6) Excellent communication and Stakeholder management abilities.</p><p>Job Type: Full-time</p><p>Pay: &#8377;2,000,000.00 - &#8377;2,100,000.00 per year</p><p>Experience:</p><ul><li>GenAI Data Scientist: 10 years (Required)</li><li>Data Science: 10 years (Required)</li><li>Machine Learning: 10 years (Required)</li><li>GenAI: 10 years (Required)</li><li>LLM: 10 years (Required)</li><li>Python: 10 years (Required)</li><li>PyTorch: 10 years (Required)</li></ul><p>Work Location: In person</p>

GenAI Data Scientist

<div></div><div><div><div><div><ul><li>Objective of this role is to use statistical computer languages (Python) to manipulate data and draw insights from large data sets.</li></ul>
<ul><li>Develop predictive analytics solution using ML algorithms such as regression, classification and random forest.</li></ul>
<ul><li>Build concept and category model using text mining algorithms.</li></ul>
<ul><li>Conduct Peer review and offer recommendations on other people&rsquo;s code</li></ul>
<ul><li>Work with back/front-end developer to create sustaining pipelines for web applications</li></ul>
<ul><li>Document the requirement to development process</li></ul>
<ul><li>Skillset required for this role is Strong communication and interpersonal skills and ability to multi-task, prioritize and manage project independently in an environment with competing priorities.</li></ul>
<ul><li>Working closely with technical teams, and other organizations to understand the product and data</li></ul>
<ul><li>Finding and interpreting large data sets to help predict costs</li></ul>
<ul><li>Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use.</li></ul>
<ul><li>Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture</li></ul>
<ul><li>Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support</li></ul>
<ul><li>Ensuring data collected, analyzed and presented result in actionable insights for negotiation support</li></ul>
<ul><li>Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations</li></ul>
<ul><li>Understanding high-level business objectives and continually align those objectives to meet needs of the business.</li></ul>
</div></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>378845</div>
</div><div><div><b>Desired Skills</b></div>
<div>Machine Learning | Python | Data scientist</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Tcs is Hiring for Data Scientist (python)

Koc Finansman A.S.

<div>
 <p>
  Veri odakl&inodot; &scedil;irket ve alan&inodot;nda &ouml;nc&uuml; ARGE olma yolculu&gbreve;umuza devam ederken, Bilgi Teknolojileri ve Arge Direkt&ouml;rl&uuml;&gbreve;&uuml; olarak &ccedil;evik &ccedil;al&inodot;&scedil;ma k&uuml;lt&uuml;r&uuml;n&uuml; benimsedik. Ekibimize teknolojik geli&scedil;im, y&uuml;ksek i&scedil;birli&gbreve;i, yarat&inodot;c&inodot;l&inodot;k ve m&uuml;&scedil;teri odakl&inodot;l&inodot;k &ccedil;er&ccedil;evesinde katk&inodot; sa&gbreve;layacak, &ldquo;Veri Bilimci/Data Scientist&rdquo; olarak g&ouml;rev alacak arkada&scedil;&inodot;m&inodot;z&inodot; bekliyoruz.
 </p>
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  Sen de bu heyecanl&inodot; yolculukta bize kat&inodot;lmak istersen; sorumlu olaca&gbreve;&inodot;n alanlar&inodot; ve i&scedil; tan&inodot;m&inodot;n&inodot; a&scedil;a&gbreve;&inodot;da bulabilirsin;
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   BT ve Ar-Ge b&uuml;nyesindeki yaz&inodot;l&inodot;m ekipleriyle yak&inodot;n &ccedil;al&inodot;&scedil;arak geli&scedil;tirilen algoritmalar&inodot;n devreye al&inodot;nmas&inodot;n&inodot; sa&gbreve;lamak,
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   Modelleme s&uuml;re&ccedil;lerinde veri do&gbreve;rulu&gbreve;unu sa&gbreve;lamak ve veri kalitesini art&inodot;racak &ccedil;al&inodot;&scedil;malar y&uuml;r&uuml;tmek,
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   Geli&scedil;tirilen modellerin performans&inodot;n&inodot; izlemek, de&gbreve;erlendirmek ve iyile&scedil;tirmek,
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   Agentic AI ve B&uuml;y&uuml;k Dil Modelleri (LLM) tabanl&inodot; &ccedil;&ouml;z&uuml;mler geli&scedil;tirerek i&scedil; s&uuml;re&ccedil;lerinde verimlilik art&inodot;rmak,
  </li>
  <li>
   Yeni nesil NLP ve &ccedil;ok modlu (multimodal) &ccedil;&ouml;z&uuml;mler &uuml;zerinde &ccedil;al&inodot;&scedil;mak: &ouml;zetleme, bilgi tabanl&inodot; soru-cevap sistemleri (RAG), yarat&inodot;c&inodot; i&ccedil;erik &uuml;retimi, ak&inodot;ll&inodot; yard&inodot;mc&inodot; sistemler (copilot), uyumluluk otomasyonu vb.,
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   A2A (Agent-to-Agent) ileti&scedil;im protokollerini tasarlayarak &ccedil;oklu ajan ekosistemlerinde i&scedil; birli&gbreve;ini sa&gbreve;lamak.
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   AI/ML metodolojileri, istatistiksel analiz, optimizasyon ve yapay &ouml;&gbreve;renme ara&ccedil;/k&uuml;t&uuml;phanelerinde deneyimli,
  </li>
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   Python, R, Java, Matlab gibi programlama dillerine h&acirc;kim,
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   Tercihen SQL, veri taban&inodot; yap&inodot;lar&inodot; ve Deep Learning framework&rsquo;leri (TensorFlow, PyTorch) konusunda deneyimli,
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   LangChain, LlamaIndex, OpenAI API gibi modern yapay zek&acirc; ekosistemlerinde &ccedil;al&inodot;&scedil;maya istekli,
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  </li>
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   Ara&scedil;t&inodot;rmaya, yeni teknolojilere ve kendini s&uuml;rekli geli&scedil;tirmeye a&ccedil;&inodot;k,
  </li>
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   Problem &ccedil;&ouml;zme ve analitik d&uuml;&scedil;&uuml;nme yetene&gbreve;i y&uuml;ksek,
  </li>
  <li>
   Sonu&ccedil; odakl&inodot; ve yenilik&ccedil;i bir bak&inodot;&scedil; a&ccedil;&inodot;s&inodot;na sahip isen
  </li>
 </ul>
 <p>
  Ba&scedil;vurunuzu bekliyoruz!
 </p>
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 <p>
  <em>
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  </em>
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 </p>
</div>


Veri Bilimci/Data Scientist

Cotiviti

<div>Overview:
<div>
The <b>Staff Gen AI Scientist</b> will apply knowledge and experience to real world problems and seek to improve health quality outcomes and reduce the cost of healthcare. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.</div><div></div><div><i><br>
Please note:</i><i> We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a general guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.</i></div><br>
<div></div>
Responsibilities:
<p>
As a <b>Staff Gen AI Scientist</b> within Cotiviti you will be responsible for delivering solutions that help our clients improve the quality of healthcare outcomes, reduce the cost of healthcare processes, and/or identify payment integrity issues. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented.</p><ul><li>
Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.</li><li>
Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.</li><li>
Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.</li><li>
Prepare your final trained model and develop a validation test set for QA.</li><li>
Work with production operations to deploy your model into production and support them in monitoring model performance.</li><li>
Participate in other data science teams collaborating with your peers to support their projects.</li><li>
Participate in knowledge sharing sessions to bring new insights and technologies to the team.</li><li>
Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.</li><li>
Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.</li><li>
Complete all responsibilities as outlined in the annual performance review and/or goal setting<b>.</b></li><li>
Complete all special projects and other duties as assigned.</li><li>
Must be able to perform duties with or without reasonable accommodation.</li></ul><div>
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.</div>
Qualifications:
<ul><li>Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.</li><li>
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, Llama/Mistral and OpenAI, vector databases.</li><li>
7+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU's.</li><li>
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.</li><li>
Experience working with Apache Spark&trade; and large-scale distributed datasets.</li><li>
Experience communicating technical concepts to non-technical and technical audiences is a plus.</li><li>
Passion for collaboration, learn it all mindset and driving value with AI.</li></ul><div><b>
Mental Requirements:</b></div><ul><li>
Ability to work independently as well as collaborate as a team with a sense of urgency.</li><li>
Professional with ability to properly handle confidential information.</li><li>
Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.</li><li>
Ability to handle multiple tasks, prioritize and meet deadlines.</li><li>
Ability to work within a matrixed organization.</li><li>
Proficiency in all required skills and competencies above.</li><li>
Communicating with others and teamwork.</li><li>
Assessing the accuracy, neatness, and thoroughness of the work assigned.</li></ul><div><b>
Physical Requirements and Working Conditions:</b></div><ul><li>
Flexibility to work with global teams as well geographically dispersed US based teams.</li><li>
Remaining in a stationary position, often standing or sitting for prolonged periods.</li><li>
Repeating motions that may include the wrists, hands and/or fingers.</li><li>
Must be able to provide high-speed internet access / connectivity and office setup and maintenance.</li><li>
Must be able to provide a dedicated, secure work area.</li></ul><div></div><div>
Base compensation ranges from $165,000 to $190,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.</div><div></div><div><br>
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.</div><div></div><div><br>
Since this job will be based remotely, all interviews will be conducted virtually.</div><div></div><div><br>
Date of posting: 11/10/2025</div><div>
Applications are assessed on a rolling basis. We anticipate that the application window will close on 02/10/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.</div><div></div><div><br>
#LI-Remote</div><div>
#Senior</div><div>
#LI-LL1</div></div>

Staff Generative AI Scientist

ExxonMobil

<p></p><div><p><b>About us</b></p><p></p><p><br>
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.</p><p></p><p><br>
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.</p><p></p><p><br>
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about <b>our What and our Why</b> and how we can<b> </b>work<b> together</b>.</p><div><div><div><h2 class="jobSectionHeader"><b>
What role you will play in our team</b></h2></div><p></p><div><p><br>
Join ExxonMobil's Technology and Engineering Company as Industrial Data Scientist. We are seeking a highly skilled and motivated Operations Data Scientist to join our team. The ideal candidate will have a strong background in applying data science techniques to exploration, development, production, operations, manufacturing, and reliability in Oil &amp; Gas domain. This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you will do</b></h2></div><p></p><div><br>
<ul><li>
Apply data science methodologies to improve production, operations, and manufacturing processes.</li><li>
Develop and implement predictive models to enhance equipment reliability and reduce downtime.</li><li>
Analyze and optimize operational efficiency through data-driven insights.</li><li>
Develop, apply, and analyze physics-based or data-driven computational models.</li><li>
Utilize physics-based simulators to support operational decision-making.</li><li>
Collaborate with cross-functional teams to identify and solve complex operational problems.</li><li>
Communicate findings and recommendations to stakeholders through reports and presentations.</li><li>
Position could require 5-10% travel (domestic and/or international)</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
About You</b></h2></div><p></p><div><p><b><br>
Skills and Qualifications</b></p><br>
<p></p><ul><li>
Bachelor's or Masters degree in Chemical Engineering, Chemistry, Mathematics, Computer Science, Civil, Electrical or Data Science from a recognized unviversity with GPA 7.0</li><li>
3+ years of experience in a data science role, preferably in production, operations, or manufacturing environments.</li><li>
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>
Experience with physics-based simulators and computational modeling.</li><li>
Knowledge of predictive maintenance techniques and tools.</li><li>
Expertise in Computer Vision, Natural Language Processing (NLP), Time Series analysis.</li><li>
Experience with AI techniques and tools for operational improvements.</li><li>
Experience with software engineering practices, agile methodologies, DevOps, version control</li><li>
Experience working in Azure Databricks or any other data science frameworks</li><li>
Proficiency in programming languages such as Python.</li><li>
Software testing and development practices (Agile)</li><li>
Prior experience in operations, oil &amp; gas, wells, or subsurface domain applications is highly desirable.</li><li>
Strong understanding of statistical analysis and data visualization tools (e.g., Tableau, Power BI).</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications / Experience</b></h2></div><p></p><div><br>
<ul><li>
Ability to demonstrate initiative, teamwork, accuracy, effectiveness, and self-confidence</li><li>
Proven track record of developing and implementing data-driven solutions to improve operational efficiency.</li><li>
Strong problem-solving skills and the ability to work independently and as part of a team.</li><li>
Excellent communication skills, both written and verbal.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Your benefits</b></h2></div><p></p><div><p><br>
An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:</p><br>
<p></p><ul><li>
Competitive compensation</li><li>
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits</li><li>
Retirement benefits</li><li>
Global networking &amp; cross-functional opportunities</li><li>
Annual vacations &amp; holidays</li><li>
Day care assistance program</li><li>
Training and development program</li><li>
Tuition assistance program</li><li>
Workplace flexibility policy</li><li>
Relocation program</li><li>
Transportation facility</li></ul><p></p><p><br>
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company&rsquo;s eligibility guidelines.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Stay connected with us</b></h2></div><p></p><div><br>
<ul><li>
Learn more about ExxonMobil in India, visit <b>ExxonMobil India</b> and <b>Energy Factor India</b><b>.</b></li><li>
Follow us on <b>LinkedIn</b> and <b>ExxonMobil (@exxonmobil) &bull; Instagram photos and videos</b><b>
</b></li><li>Like us on <b>Facebook</b></li><li>
Subscribe our channel at <b>YouTube</b></li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
EEO Statement</b></h2></div><p></p><div><p><br>
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.</p></div></div><div><div><h2 class="jobSectionHeader"><b><br>
Business solicitation and recruiting scams</b></h2></div><p></p><div><p><br>
ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.</p></div></div></div><p></p><p><br>
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.</p><p></p><p><br>
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.</p></div>

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