principal data scientist

Jex Recruitment | Connecting top talent with leading companies

<div>
 <p>
  Principal Data Scientist &ndash; Cyber Security | Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
  <strong>
   Principal Data Scientist
  </strong>
  . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
  <strong>
   AI, data, and cyber security
  </strong>
  , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
  </li>
  <li>
   Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
  </li>
  <li>
   Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
  </li>
  <li>
   Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
  </li>
  <li>
   Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <ul>
  <li>
   <strong>
    10+ years of experience
   </strong>
   in data science, machine learning, or applied AI, with a focus on hands-on technical work.
  </li>
  <li>
   Strong background in
   <strong>
    cyber security
   </strong>
   , ideally with experience in malware analysis, SOC operations, or threat intelligence.
  </li>
  <li>
   Proven record of building
   <strong>
    production-grade ML systems
   </strong>
   and data architectures.
  </li>
  <li>
   Advanced proficiency in
   <strong>
    Python
   </strong>
   ,
   <strong>
    TensorFlow/PyTorch
   </strong>
   , and distributed data technologies (Spark, Kubernetes, etc.).
  </li>
  <li>
   Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
  </li>
  <li>
   Strong communicator and problem-solver, able to operate both strategically and technically.
  </li>
 </ul>
 <li>
 </li>
 <p>
 </p>
</div>


Principal Data Scientist

MCG Health

<div><div><p>At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.</p></div><p>
MCG develops evidence based guidelines that help patients get the right care in a variety of healthcare settings. The data science team at MCG combines machine learning with the expert knowledge of our guidelines to increase the efficiency and accuracy of our users' documentation workflows.</p>
<p>
As <b>Principal</b><b> Data Scientist </b>you will serve as the technical leader for our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will bring experience with best practice and lead brainstorming, technical design, prioritization of experiments, and managing dependencies. You will keep abreast of the state of the art in LLMs while guiding the team's research of novel techniques to solve issues unique to our application.</p>
<p><b>
You Will:</b></p>
<ul>
<li>Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve</li>
<li>Lead and establish best practices for various research activities including data collection/annotation, literature research, experimentation, and evaluation</li>
<li>Provide technical and project leadership for other Data Scientists</li>
<li>Create and test novel LLM based systems</li>
<li>Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques</li>
</ul>
<p><b>Our Tech Stack:</b></p>
<ul>
<li>Primarily Python jobs and applications
</li><li>OpenAI and other proprietary LLM APIs</li>
<li>AzureML for Pytorch training</li>
<li>Kubernetes via AKS or EKS for compute (with support from infra team)</li>
<li>Databricks for data lake</li>
<li>Flyte for orchestration</li>
</ul>
<p><b>What We're Looking For:</b></p>
<ul>
<li>8 years of experience in Data Science or Machine Learning Engineering
</li><li>Expert level Python: able to write reliable, extensible code
</li><li>Demonstrated experience translating high level requirements into models in production
</li><li>Deep experience with Natural Language Processing (NLP)</li>
<li>Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks
</li><li>Experience using pretrained LLM's for zero or few-shot learning tasks
</li><li>Experience generating visualizations for evaluation of complex systems
</li><li>Scientific mindset and ability to run experiments to guide model selection and hyperparameter search</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Good written communication skills
</li><li>Experience putting LLM based services into production</li>
<li>Experience working with clinical data</li>
<li>Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)</li>
</ul>
<p><b>Pay Range:</b><b> </b>$183,600&ndash; $257,000 yearly</p>
<p><b>
Other compensation:</b><b> </b>Bonus Eligible</p>
<p><b>
Perks &amp; Benefits:</b></p>
<p>
 Remote work</p>
<p>
 Medical, dental, vision, life, and disability insurance</p>
<p>
 401K retirement plan; flexible spending and health savings account</p>
<p>
&#65039; 15 days of paid time off + additional front-loaded personal days</p>
<p>
&#65039; 14 company-recognized holidays + paid volunteer days</p>
<p>
 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave</p>
<p>
 LGBTQ+ Health Services</p>
<p>
 Pet insurance</p>
<p>
 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/</p>
<p>
We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.</p>
<p>
MCG Health is a Seattle, Washington-based company and is considering remote candidates with a preference for those located in Seattle.</p><div><p>
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.</p>
<p>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p>
<p>
MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.</p></div></div>

Phastar

<div>Overview:
<div><b>
THE COMPANY</b></div><div>
Phastar is a multiple award-winning global biometric Contract Research Organization (CRO) that is accredited as an outstanding company to work for by Best Companies. We partner with pharmaceutical, biotechnology and medical device organizations to provide the expertise and processes to manage and deliver on time, quality biostatistics, programming, data management and data science services. With offices across the UK, US, Germany, Denmark, Kenya, Australia, India, China and Japan, Phastar is the second largest specialized biometrics provider globally, and the largest in the UK.</div><div>
Our unique approach to data analysis, &ldquo;The Phastar Discipline&rdquo;, has led us to build a reputation for outstanding quality. With this as our core focus, we&rsquo;re looking for talented individuals who share our passion for quality and technical expertise to join our team.</div><div></div><div><b><br>
WHY PHASTAR</b></div><div></div><div><br>
Accredited as an outstanding company to work for, Phastar is committed to employee engagement, workplace satisfaction and ensuring a healthy work-life balance. We offer flexible working, part-time hours, involvement in developing company-wide initiatives, structured training and development plans, and a truly supportive, fun and friendly environment.</div><div>
We are seeking a Principal Data Scientist to support one of our pharmaceutical clients and work specifically within one of our FSP teams.</div>
Responsibilities:
<div>
Identify and build practical, high-quality solutions through the application of visualisation analytical,machine learning and artificial intelligence techniques<br>
Document, initiate and perform appropriate validation and/or QC for a project<br>
Identify, access and utilise the appropriate data to support a question such as clinical data, observational data, healthcare data<br>
Develop cross-filtering, drill-downs, faceting, bookmarking, state restore, and user-level preferences.<br>
Add new features and modules end-to-end: scope requirements, prototype, iterate with users, and productionise.<br>
Help design and build a large, modular Shiny application that visualizes TLFs (tables, listings, figures) from SDTM/clinical datasets.<br>
Run CI/CD on Github.<br>
Deploy/operate on Posit Connect (or Shiny Server Pro): access controls, scaling, monitoring.<br>
Error tracking, unit tests, UI tests, integration/performance checks.<br>
Implement export workflows (e.g., CSV/XLSX, PNG/PDF, RTF) with reproducible, versioned outputs.<br>
Add new features and modules end-to-end: scope requirements, prototype, iterate with users, and productionize.<br>
Collaborate with other functions as required<br>
Produce and validate complex outputs<br>
Identify areas where new processes are required<br>
<b>Essential:</b><br>
2&ndash;5+ years of experience building production-grade Shiny applications in R.<br>
Strong R programming fundamentals (tidyverse or data.table), Shiny modules/reactivity, and data visualization using ggplot2 or plotly.<br>
Experience with Git, code review, and automated testing.<br>
Hands-on deployment experience with Posit Connect (or equivalent platforms).<br>
Excellent communication skills and ability to collaborate with non-technical stakeholders.<br>
<b>Preferred:</b><br>
Knowledge of clinical programming standards (e.g., CDISC, SDTM, controlled terminology, and awareness of ADaM/TFLs).<br>
Experience with Python for data engineering or validation (pandas, reticulate interoperability).<br>
Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration tools (Docker, Kubernetes).</div>
Qualifications:
<div>
Educated to PhD/Masters or Bachelor&rsquo;s degree in statistics, computational biology, bioinformatics,mathematics, computer science or a related discipline<br>
Experience within the pharmaceutical or healthcare industry<br>
Familiarity with GCP and regulatory requirements<br>
R Shiny experience required</div><div></div><div><b><br>
APPLY NOW</b></div><div>
With the world&rsquo;s eyes focused on clinical trial data, this is a fantastic time to join an award-winning specialized biometric CRO that is renowned for its technical expertise, outstanding quality and cutting-edge data science techniques. We offer flexible working, part-time hours, structured training and development plans, continuous learning opportunities, and a competitive salary and benefits package. We&rsquo;re committed to ensuring our employees achieve a healthy work-life balance, within a supportive, fun and friendly working environment.</div><div></div><div><br>
Should you feel that you have the right skill set and motivations for this position, please apply!</div><div></div><div><br>
Phastar is committed to the principles and practices of equal opportunities and to encouraging the establishment of a diverse workforce. It is our policy to employ individuals on the basis of their suitability for the work to be performed and their potential for development, regardless of age, sex, race, colour, nationality, ethnic or national origin, disability, marital status, pregnancy or maternity, sexual orientation, gender reassignment, religion, or belief. This includes creating a culture that fully reflects our commitment to equal opportunities for all.</div><div></div><div><b><br>
Important notice to Employment businesses/Agencies</b></div><div></div><div><br>
Phastar does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Phastar's Head of Talent Acquisition to obtain prior written authorization before referring any candidates to Phastar. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and Phastar. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of Phastar. Phastar shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.</div></div><div></div>

Microsoft

<div><div>Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!<br>
<br>
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.</div><div></div><div><br>
We work closely with our customers&rsquo; engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.</div><div></div><div><br>
We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.</div><div></div><div><br>
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.</div><div></div><div><br>
Microsoft&rsquo;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.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
You will oversee data acquisition and ensure data is properly formatted and described. You&rsquo;ll also coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.</li><li>
You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.</li><li>
You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.</li><li>
You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities.</li><li>
You will embody our culture and values.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required/Minimum Qualifications (RQs/MQs)</b></div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li><li>
3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.</li></ul><div></div><div><b><br>
Additional</b><b> </b><b>or Preferred Qualifications (PQs)</b></div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results</li><li>
OR equivalent experience.</li><li>
Enjoy travel and are comfortable with travel up to 25%</li></ul><div></div><div><br>
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!</div><div></div><div><br>
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It&rsquo;s an informal and flexible work environment and you&rsquo;ll be welcome to work in the way that best enables you to get your job done.</div><div></div><div><br>
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.</div><br>
<div></div>
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.</div>

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Principal Data Scientist - R01556906</b></h1>
<p></p><div><b>Principal Data Scientist</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li><b>
Agentic AI</b>, <b>Large Language Models (LLMs)</b>, and <b>enterprise-grade AI/ML systems</b>. The ideal candidate will lead the design, experimentation, and deployment of <b>autonomous, multi-agent AI systems</b> leveraging <b>LLMs</b>, <b>knowledge graphs</b>, and <b>reasoning frameworks</b>.
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Agentic AI and LLM with framework</li></ul><h6 class="jobSectionHeader"><b>
Job requirements</b></h6><ul><li>
Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity, and growing at nearly 60% YoY since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology &ndash; cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
</li><li>With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded &lsquo;Great Place To Work&rsquo; in 2021 and 2022. Learn more www.Brillio.com</li></ul><div></div><div><br>
We are seeking a highly accomplished <b>Principal Data Scientist</b> with extensive experience in <b>Agentic AI</b>, <b>Large Language Models (LLMs)</b>, and <b>enterprise-grade AI/ML systems</b>. The ideal candidate will lead the design, experimentation, and deployment of <b>autonomous, multi-agent AI systems</b> leveraging <b>LLMs</b>, <b>knowledge graphs</b>, and <b>reasoning frameworks</b>. This is a strategic and hands-on role at the intersection of <b>data science, AI research, and engineering leadership</b>.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li>
Lead the <b>architecture, experimentation, and fine-tuning</b> of <b>LLMs</b> (e.g., GPT, Claude, Mistral, LLaMA, Falcon) for business-specific applications.</li><li>
Drive <b>Agentic AI POCs and production implementations</b> using frameworks such as <b>LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel</b>.</li><li>
Design and implement <b>multi-agent systems</b> with human-in-the-loop decision-making, contextual reasoning, and memory management.</li><li>
Collaborate with cross-functional AI engineering, data platform, and product teams to <b>operationalize LLM-based solutions</b>.</li><li>
Develop <b>fine-tuning and RAG pipelines</b> using open-source and proprietary foundation models.</li><li>
Lead <b>research and evaluation</b> of emerging AI/LLM technologies for internal innovation and client solutions.</li><li>
Mentor data scientists and ML engineers on <b>prompt engineering, model alignment (RLHF/RLAIF),</b> and scalable AI system design.</li><li>
Partner with business stakeholders to translate complex business problems into <b>data-driven, AI-enabled strategies</b>.</li><li>
Publish internal whitepapers and drive <b>AI Center of Excellence (CoE)</b> initiatives within the organization.</li></ul><div></div><div><b><br>
Required Skills &amp; Experience</b></div><ul><li><b>
14&ndash;22 years</b> of overall experience with at least <b>4+ years in advanced AI/LLM/GenAI research or engineering.</b></li><li>
Deep expertise in <b>Agentic AI</b> and building <b>multi-agent workflows</b> using <b>LangGraph, LangChain, AutoGen, CrewAI, or Haystack.</b></li><li>
Strong hands-on programming skills in <b>Python</b>, with working proficiency in <b>R</b> or <b>Scala</b>.</li><li>
Proven experience with <b>LLM fine-tuning</b>, <b>adapter methods (LoRA, QLoRA, PEFT)</b>, <b>RAG pipelines</b>, and <b>vector databases</b> (e.g., Pinecone, FAISS, Weaviate, Milvus).</li><li>
Strong understanding of <b>transformer architectures</b>, <b>tokenization</b>, <b>prompt optimization</b>, and <b>model evaluation metrics</b>.</li><li>
Experience integrating <b>LLMs with enterprise data systems</b>, APIs, and orchestration pipelines (Databricks, AWS, Azure ML, Vertex AI).</li><li>
Demonstrated success leading <b>POCs and production-grade implementations</b> in <b>Agentic AI</b> use cases (knowledge assistants, automation, data analysis, etc.).</li><li>
Familiarity with <b>data engineering, MLOps/LLMOps</b>, and <b>cloud-native AI deployment</b>.</li><li>
Excellent analytical, communication, and leadership skills with a track record of <b>mentoring teams and driving innovation</b>.</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Advanced degree (Ph.D./M.Tech/M.S.) in <b>Computer Science, AI, Machine Learning, Data Science</b>, or a related field.</li><li>
Publications, patents, or conference presentations in <b>AI, NLP, or LLM</b> domains.</li><li>
Experience in <b>Generative AI governance</b>, <b>ethics</b>, or <b>AI system reliability</b>.</li><li>
Hands-on experience with <b>open-source LLM frameworks</b> and <b>custom dataset curation</b> for fine-tuning.</li></ul></div><p></p>

Principal Data Scientist – R01556906

GSSTech Group

<div><p>We are seeking a highly skilled and experienced <b>Principal Data Scientist / IT Engineer (Applications)</b> to lead data-driven initiatives and drive innovation across our organization. The ideal candidate will have a strong background in data science, machine learning, and cloud-based analytics, with the ability to translate complex business problems into actionable insights.</p><p><b>
Requirements</b></p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Analyze large and complex datasets to identify trends, patterns, and business opportunities.
</li><li>Develop, train, and deploy machine learning models for classification, regression, clustering, and recommendation systems.
</li><li>Collaborate with cross-functional teams to define business challenges and design end-to-end data science solutions.
</li><li>Communicate findings and insights through effective visualizations, dashboards, and presentations.
</li><li>Implement MLOps best practices for model deployment, monitoring, and optimization.
</li><li>Stay current with emerging technologies and advancements in data science, AI, and analytics.
</li><li>Ensure scalability and performance of models in production environments.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications:</b></h3><ul>
<li>Proven experience in data science, machine learning, and advanced analytics.
</li><li>Strong programming skills in <b>Python, R, or Scala</b>.
</li><li>Hands-on experience with <b>cloud platforms</b> such as <b>AWS, Azure, or GCP</b>.
</li><li>Familiarity with <b>big data frameworks</b> (e.g., Spark, Hadoop).
</li><li>Solid understanding of <b>statistical analysis</b>, <b>predictive modeling</b>, and <b>data engineering workflows</b>.
</li><li>Experience with <b>MLOps</b>, CI/CD pipelines, and deployment frameworks.
</li><li>Excellent communication and problem-solving skills.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, Engineering, or a related field</b>.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3><ul>
<li>Experience working in large-scale enterprise environments.
</li><li>Knowledge of data visualization tools such as <b>Power BI</b>, <b>Tableau</b>, or <b>Looker</b>.
</li><li>Experience leading or mentoring junior data scientists or engineers.</li></ul></div>

Principal Data Scientist - IT Applications

ING Hubs Türkiye

<div>
 <p>
  <strong>
   About ING Hubs
  </strong>
 </p>
 <p>
  Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 </p>
 <p>
  <br/>
 </p>
 <p>
  𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 </p>
 <p>
  ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We value strong work ethics, knowledge sharing and flexibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ING Analytics
  </strong>
 </p>
 <p>
  ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About you
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree or PhD will be a plus),
  </li>
  <li>
   4+ years of work experience in data science field.
  </li>
  <li>
   Broad experience with end-to-end machine learning project implementation. Involvement in all modelling steps from data extraction to modelling and deployment.
  </li>
  <li>
   Theoretical knowledge of statistical modelling and machine learning, and a demonstrated ability to apply these to solve business problems and develop innovative models and/or data-driven products
  </li>
  <li>
   Strong knowledge of Python, SQL or relevant statistical tools. (Spark, GCP, Git , DevOps will be a plus)
  </li>
  <li>
   Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment
  </li>
  <li>
   Excellent analytical skills and attention to details
  </li>
  <li>
   Desire to use modern technologies as a disruptive influence,
  </li>
  <li>
   Open-minded for new technologies.
  </li>
  <li>
   Strong verbal and written communication skills in English and Turkish
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    How to Succeed
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units
  </li>
  <li>
   Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
  </li>
  <li>
   Analyze portfolio trends and detect the root causes of problems by performing advanced data analysis and modelling techniques
  </li>
  <li>
   Develop new strategies by analyzing and evaluating large data volumes and utilizing various statistical and analytical techniques and tools
  </li>
  <li>
   Effective Communication: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
  </li>
  <li>
   Flexibility &amp; Adaptability: Knowledge of successful approaches, tools, and techniques for dealing with changes and adapting to a changing environment; ability to adapt as needed
  </li>
  <li>
   Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations
  </li>
  <li>
   Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of diverse problems and create alternative solutions that resolve the problems in the best interest of the business
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer at ING Hubs Turkiye
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here&rsquo;s what you can expect when you join our organization:
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Be Yourself, Be an ING'er
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Dynamic Environment:
   </strong>
   Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.
  </li>
  <li>
   <strong>
    Innovation Culture:
   </strong>
   Share your innovative ideas while exploring PACE methodology with us.
  </li>
  <li>
   <strong>
    Global Exposure:
   </strong>
   Participate in global projects and expand your career opportunities.
  </li>
  <li>
   <strong>
    Communication &amp; Celebrations:
   </strong>
   Enjoy various communication activities and celebrations that promote a friendly work environment.
  </li>
  <li>
   <strong>
    Health Care:
   </strong>
   Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.
  </li>
  <li>
   <strong>
    Private Pension Plan:
   </strong>
   Secure your future dreams with our private pension plan.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <u>
   If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
  </u>
 </p>
 <p>
 </p>
</div>


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