senior research scientist

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES | NEW YORK CITY, NEW YORK, UNITED STATES | KIRKLAND, WASHINGTON, UNITED STATES</p>
<p>FULL-TIME</p>
<p>AI FOUNDATIONS</p>
<p>3654</p></div>
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</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet.</p>
<p>
In this hybrid role you will report to a Technical Lead Manager.</p>
<p><b>
You will:</b></p>
<ul>
<li><p>Conduct applied foundation model research and development</p>
</li>
<li><p>Design compelling experiments by training and evaluating large deep learning models</p>
</li>
<li><p>Present results to peers and leadership</p>
</li>
<li><p>Write high quality code, unit tests, and documentation</p>
</li>
</ul><p><b>You have:</b></p>
<ul>
<li><p>Masters or PhD in deep learning in behavior and agent modeling or simulation</p>
</li>
<li>Proficiency in Python</li>
<li>
<p>3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable.</p>
</li>
<li>Experience in generative modeling and LLMs or VLMs (e.g., Gemini, Llama, GPT)</li>
</ul>
<p><b>We prefer:</b></p>
<p>
Experience with:</p>
<ul>
<li>Post-training, incl. reinforcement learning</li>
<li>Distillation</li>
<li>Transformer models</li>
<li>Autoencoders and embeddings</li>
</ul>
<p>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:</p>
<ul>
<li>Health, dental, vision, life, disability insurance</li>
<li>Retirement Benefits: 401(k) with company match</li>
<li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li>
<li>Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)</li>
<li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li>
<li>Baby Bonding Leave: 18 weeks</li>
<li>Holidays: 13 paid days per year</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$259,000 USD</div></div></div></div></div></div></div>

Senior Research Scientist, Foundation Model (LLM/VLM)

Wells Fargo

<div><p><b>About this role:</b></p><p>
Wells Fargo&rsquo;s Model Risk Management (MRM) team is seeking a Senior Quantitative Analytics Specialist (<b>AI</b><b> Research Scientist &ndash; Foundation Models &amp; Agentic AI</b> ) to support the cutting-edge applied research and development initiatives in Artificial Intelligence, with a focus on building the next generation of Foundation Models, Agentic AI solutions, and Generative AI systems. This role offers a unique opportunity to work at the intersection of AI research and real-world financial applications that impact millions of customers.</p><p></p><p><b>
In this role, you will:</b></p><ul><li><p>
Perform highly complex research projects in AI / Generative AI / Agentic AI / Machine Learning from ideation, experimentation, implementation, evaluation and documentation.</p></li><li><p>
Support building the next generation of foundation models and agentic AI systems - exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.</p></li><li><p>
Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.</p></li><li><p>
Translate research insights into impactful business solutions, open-source contributions, patents, and publications.</p></li><li><p>
Contribute to building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.</p></li><li><p>
Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.</p></li></ul><p></p><p><b>
Required Qualifications:</b></p><ul><li><p>
4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</p></li><li><p>
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</p></li></ul><p><b><br>
Desired Qualifications:</b></p><ul><li><p><b>
PhD</b> in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research or industry experience.</p></li><li><p>
Solid proven research track record with <b>publications</b> in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers.</p></li><li><p>
Deep expertise in one or more specialized areas, including but not limited to: <b>Foundation Models</b> (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI</p></li><li><p>
Demonstrated ability to apply GenAI / <b>Agentic AI</b> in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards</p></li><li><p>
Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, <b>PyTorch, Hugging Face</b>, AWS, GCP.</p></li><li><p>
Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.</p></li><li><p>
Experience with transferring foundation models, LLMs, and agentic AI systems in production</p></li></ul><p></p><p><b>
Job Expectations:</b></p><ul><li><p>
This position offers a hybrid work schedule</p></li><li><p>
Willingness to work onsite at stated location on the job posting</p></li><li><p>
This position is eligible for VISA sponsorship</p></li></ul><p></p><p><b>
Job Posting Locations:
</b></p><ul><li><p>Three Wells Fargo Center, CHARLOTTE, NC</p></li><li><p>
600 Wells Fargo, MINNEAPOLIS, MN</p></li><li><p>
Las Colinas Bldg B, Irving Campus, IRVING, TX</p></li><li><p>
West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA</p></li><li><p>
D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO</p></li><li><p>
1150 W Washington, TEMPE, AZ</p></li><li><p>
333 Market, SAN FRANCISCO, CA</p></li></ul><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$139,000.00 - $260,000.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
28 Jun 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Senior AI Research Scientist – Foundation Models & Agentic AI

Senior Data Scientist – Experimentation & Statistical Innovation Platform

Raytheon

<div><p><b>Date Posted:</b></p>
2026-06-26<p><b>
Country:</b></p>
United Kingdom<p><b>
Location:</b></p>
Gloucester, South Gloucestershire<p><b>
Position Role Type:</b></p>
Onsite<p></p><p><b>
Senior Data Scientist &amp; Machine Learning Researcher</b></p><p><b>
Gloucester, Manchester</b></p><p></p><div><div><p><b>
Benefits:</b></p></div><div><ul><li><p>
&pound;: Competitive salary</p></li></ul></div><div><ul><li><p>
Contributory Pension Scheme (up to 10.5% company contribution)</p></li></ul></div><div><ul><li><p>
6 times salary &lsquo;Life Assurance&rsquo; with pension</p></li></ul></div><div><ul><li><p>
25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)</p></li></ul></div><div><ul><li><p>
Company bonus scheme (discretionary)</p></li></ul></div><div><ul><li><p>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others</p></li></ul></div><div><ul><li><p>
Enhanced sick pay</p></li></ul></div><div><ul><li><p>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</p></li></ul></div><p></p><div><p><b><br>
Work Culture</b></p></div><div><ul><li><p>
37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.</p></li></ul></div><div><ul><li><p>
Early 1.30pm finish Friday, start your weekend early!</p></li></ul></div><div><ul><li><p>
Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.</p></li></ul></div><div><ul><li><p>
Up to 5 paid days volunteering each year.</p></li></ul></div></div><div><div><ul><li><p>
Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.</p></li></ul></div><p></p><div><p><b><br>
Cyber</b></p></div><div><p>
Our National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today.</p></div></div><p>
What You Will Do *</p><p>
Raytheon UK has a perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG).</p><p></p><p>
As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution.</p><p></p><p>
The Strategic Research Group (SRG) is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems.</p><p></p><p>
You can be based with our Gloucester, Manchester or London team, working in a hybrid capacity (average of 3 days a week on-site). You must already hold or be able to gain SC clearance (on Day 1) and eDV clearance (once started).</p><p></p><p>
Responsibilities</p><ul><li>
Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance.</li><li>
Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines.</li><li>
Undertake research and applied AI/ML tasks on both customer and internal research projects.</li><li>
Generate ideas for new research directions and provide technical leadership in small project groups.</li><li>
Mentor more junior team members within their project team and the wider SRG.</li><li>
Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery.</li></ul><p></p><p>
Required Skills &amp; Experience</p><ul><li>
BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field</li><li>
Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).</li><li>
Have an established track record of delivering ML solutions to customers and internal stakeholders.</li><li>
Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature.</li><li>
Experience of training and developing AI models including Large Language Models.</li><li>
Ability to produce high-quality scientific writing for internal &amp; external stakeholders as well as academic publications.</li><li>
Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries.</li></ul><p></p><p>
Desirable Skills &amp; Experience</p><ul><li>
PhD. or Masters degree highlighting experience of academic research.</li><li>
Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker)</li><li>
Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd&hellip;)</li><li>
Experience of deploying AI models in a scalable way for external users.</li><li>
Experience working in Cloud, preferably AWS but also GCP or Azure.</li><li>
Research publications in peer reviewed journals.</li><li>
Experience of writing technical project proposals</li></ul><p></p><p><i>
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.</i></p><p></p><p>
LI-BZ1#</p><p></p><p><i>
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.</i>
</p><p></p><p><b>Privacy Policy and Terms:</b></p></div><p></p>

Senior Data Scientist & Machine Learning Researcher

Hiscox

<div>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Build a brilliant future with Hiscox
  <br/>
  <br/>
 </strong>
 <strong>
  Position: Senior Data Scientist
  <br/>
  <br/>
 </strong>
 <strong>
  Reporting to:
 </strong>
 Lead Data Scientist
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 London
 <br/>
 <br/>
 <strong>
  Type:
 </strong>
 Permanent
 <br/>
 <br/>
 As a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You&rsquo;ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.
 <br/>
 <br/>
 You&rsquo;ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox&rsquo;s data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
 <br/>
 <br/>
 You&rsquo;ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market&rsquo;s first AI-enhanced lead underwriting solution. This achievement reflects the team&rsquo;s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
 <br/>
 <br/>
 As a Data Scientist, you&rsquo;ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis.
 <br/>
 <br/>
 This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You&rsquo;ll be expected to conceptualise new approaches, communicate your vision clearly to stakeholders, and see ideas through to implementation.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business.
  </li>
  <li>
   Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights
  </li>
  <li>
   Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation.
  </li>
  <li>
   Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Person Specification
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in a STEM or closely related field or equivalent experience. A further degree is a plus.
  </li>
  <li>
   Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value.
  </li>
  <li>
   Experience of data science in finance or insurance is an advantage but not required.
  </li>
  <li>
   Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task.
  </li>
  <li>
   Familiarity with version control, agile working and other IT delivery tools is required
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience.
  </li>
  <li>
   Experience with analytical tools / programming languages and databases (for example: Python, R, SQL).
  </li>
  <li>
   Experience with large language models and prompting, GCP experience is a plus.
  </li>
  <li>
   Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
  </li>
  <li>
   A particular interest in natural language processing or machine vision.
  </li>
  <li>
   A strong grasp of foundational statistics is essential.
  </li>
  <li>
   Experience working both in small teams and independently on analytics projects.
  </li>
  <li>
   Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders.
  </li>
  <li>
   Willingness to learn best practice in software development.
  </li>
  <li>
   Knowledge of insurance is an advantage but not essential.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Apply now for further information
  <br/>
  <br/>
 </strong>
 <em>
  Work with amazing people and be part of a unique culture
 </em>
</div>


Senior Data Scientist

Siemens

<div><div><div><b>Transform the everyday</b></div><div><div><div><p>
Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.</p><p>
We are an applied science organization building the science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.</p><p>
As Senior Principal Applied Scientist, you set the scientific direction for the pod. You decide which problems are worth solving with ML, what methods to apply, how to evaluate them, and how to move them from a research result to a model that runs in production. You are accountable for the science: the rigor, the evidence, and the outcomes.</p><p>
This is a senior individual contributor role. Your impact comes from owning the hypotheses, the evaluation, and the path from research to production, and from raising the scientific bar across the team.</p><div><b><br>
As part of our team, you will have</b></div></div></div><p></p><ul><li>
An attractive remuneration package</li><li>
Appealing Siemens pension benefits</li><li>
Access to employee share plans</li><li>
30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family</li><li>
2 to 3 days of mobile working per week as a global standard</li><li>
Up tp 30 days workation per year in certain countries</li></ul>
Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.<br>
<br>
<p>The individual benefits are subject to regulatory, contractual, or corporate conditions.</p><p></p><p><br>
Y<b>ou&rsquo;ll make an impact by</b></p><ul><li>
Set the applied science roadmap for the pod across the core AI capabilities the product depends on, for example multimodal perception, computer vision, language and agentic reasoning, time series modeling, control</li><li>
Convert product and system requirements into clear research questions, hypotheses, and success metrics</li><li>
Design and own the evaluation and benchmarking frameworks for generative and predictive models, including offline metrics, online experimentation, and robustness testing in industrial conditions</li><li>
Lead applied research projects end to end, from literature review and method selection through experimentation, ablation, and productization</li><li>
Work with engineers to take models into production grade pipelines: data readiness, optimization, inference, observability</li><li>
Influence architectural and system decisions with scientific evidence and tradeoff analysis</li><li>
Identify and de-risk scaling challenges: data quality, model drift, latency, throughput, cost, safety</li><li>
Mentor scientists and engineers on experimentation rigor, reproducibility, and documentation</li><li>
Champion responsible and trustworthy AI: bias detection, model risk management, human in the loop controls</li></ul></div></div><div><div><p><b><br>
This is how you'll win us over</b></p><ul><li><b>
Education</b></li><li><ul><li>
Master&acute;s degree or an equivalent qualification in Computer Science, Machine Learning, or a related field</li></ul></li><li><b>
Experience &amp; Skills</b></li><li><ul><li>
10+ years in applied machine learning, AI research, or data science, with a track record of models that shipped to production and made an impact</li><li>
Strong foundation in machine learning theory and practice across training, evaluation, and deployment</li><li>
Demonstrated experience setting the science direction for a portfolio of work and shipping it through to production with engineering teams</li><li>
Proficiency in Python and modern ML frameworks and toolchains</li><li>
Track record of building evaluation and benchmarking that the team can run a roadmap against</li><li>
Clear written and verbal communication, with the ability to explain complex ML concepts to engineers, product managers, and senior leaders</li></ul></li><li><b>
Preferred Qualifications:</b></li><li><ul><li>
Experience setting science direction across multiple capability areas at the same time</li><li>
Experience bringing applied research into real world products in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare</li><li>
Breadth across multimodal ML, generative AI, retrieval, agentic workflows, control, or planning</li><li>
Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML, geometry-aware ML, differentiable simulation, AI for semiconductor/EDA</li><li>
Experience standing up evaluation, online experimentation, or production monitoring as practices, not just for a single model</li><li>
Publications, patents, open source contributions, or significant internal technology transfers that the field can point to</li><li>
Experience hiring and mentoring senior or staff level scientists</li><li>
Experience working with globally distributed research, product, or engineering organizations</li></ul></li><li><b>
Ways of working:</b> You set scientific direction, lead with autonomy, and raise the bar for rigor and collaboration across teams</li><li><b>
Languages:</b> business proficiency in English</li></ul><div>
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!</div></div></div><p></p><div><div><p><br>
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let&rsquo;s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.</p><p></p><p><b><br>
About us</b></p><p>
To transform the everyday, you need to think outside the box. That&rsquo;s why we at Siemens are looking for innovators who aren&rsquo;t afraid to push boundaries to join our diverse team of tech experts. Got what it takes? Then help us create lasting, positive change!</p><p>
www.siemens.de/careers &ndash; if you would like to find out more about jobs &amp; careers at Siemens.
</p><p>FAQ &ndash; if you need further information on the application process.</p></div></div></div>

Senior Principal Applied Scientist (f/m/d)

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 </p>
 <p>
  We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior Data Scientist
 </p>
 <p>
  Location: Abu Dhabi
 </p>
 <p>
  Experience: 8+ Years
 </p>
 <p>
  Preferred: Western &amp; Diverse candidates
 </p>
 <p>
  <br/>
 </p>
 <p>
  Technical Requirements
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 <p>
  ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
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  Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 </p>
 <p>
  techniques.
 </p>
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  ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
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  prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 </p>
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  ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 </p>
 <p>
  familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 </p>
 <p>
  data extraction from specialized formats is a significant plus.
 </p>
 <p>
  ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 </p>
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  (Flask/FastAPI) and integrate them into larger software architectures.
 </p>
 <p>
  ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 </p>
 <p>
  identifying and mitigating biases in datasets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Professional Qualifications
 </p>
 <p>
  ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 </p>
 <p>
  track record of deploying models into production environments.
 </p>
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  ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 </p>
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  construction regulations, defense standards, supply chain taxonomies) and translate them
 </p>
 <p>
  into logic.
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 <p>
  ● Structured Delivery: Experience working in structured delivery models
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  (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
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  ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 </p>
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  Backend Engineers, and Product Managers to align model outputs with real-world
 </p>
 <p>
  business logic.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Please share your CV with the title of
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 </p>
</div>


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