irket of r

TEMA MAKINA

<div>
 
 
 Company Description
 
 
 
 
 Based in Turkey, TEMA MAKINA delivers innovative laboratory equipment and cutting-edge machinery for R&amp;D, production, and packaging to pharmaceutical, biotechnology, and food industries.
 
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time role for an Application &amp; Formulation Specialist &ndash; Pharma R&amp;D Equipment based in Istanbul.
 
 
 We are seeking a highly skilled&nbsp;
 
 Application &amp; Formulation Specialist
 
 &nbsp;to bridge the gap between
 
 pharmaceutical R&amp;D formulation expertise
 
 &nbsp;and&nbsp;
 
 commercial success
 
 . This role combines hands-on formulation and analytical knowledge with the ability to deliver compelling&nbsp;
 
 technical presentations, demonstrations, and training
 
 &nbsp;to prospective and existing customers.
 
 
 The specialist will work closely with&nbsp;
 
 R&amp;D, technical, and sales teams
 
 &nbsp;to identify customer needs, design and present application-based solutions, and support the sales process from initial engagement through to deal closure.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Minimum 3 years in pharmaceutical R&amp;D, formulation, or laboratory applications.
 </li>
 <li>
 Prior experience in equipment demonstrations, technical presentations, or application support preferred.
 </li>
 <li>
 Hands-on experience with pharmaceutical processing and analytical equipment.
 </li>
 <li>
 Strong knowledge of formulation techniques and analytical methods&nbsp;
 </li>
 <li>
 Skills in data analysis, documentation, and reporting
 </li>
 <li>
 Exceptional presentation, communication, and interpersonal skills.
 </li>
 <li>
 Ability to build strong customer relationships and adapt technical language to diverse audiences.
 </li>
 <li>
 Strong communication and teamwork abilities
 </li>
 <li>
 Proficiency in English is a must
 </li>
 <li>
 Bachelor's degree in Pharmacy, Chemical Engineering, or related field required; Advanced degree preferred
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Formulation Development &amp; Support
 
 
 <ul>
 <li>
 Provide technical expertise in pharmaceutical formulation (solid, liquid, and semi-solid dosage forms) for customer projects and demonstrations.
 </li>
 <li>
 Assist in pre-formulation and scale-up studies using state-of-the-art equipment.
 </li>
 <li>
 Conduct trials and application tests to demonstrate equipment performance and product benefits.
 </li>
 </ul>
 
 
 Customer Engagement &amp; Presentations
 
 
 <ul>
 <li>
 Deliver&nbsp;
 
 technical presentations, live demonstrations, and workshops
 
 &nbsp;to potential clients, both in person and virtually.
 </li>
 <li>
 Translate technical features into customer-centric benefits, tailored to R&amp;D, QA, and production audiences.
 </li>
 <li>
 Attend trade shows, conferences, and client site visits to showcase solutions.
 </li>
 </ul>
 
 
 Pre-Sales &amp; Sales Support
 
 
 <ul>
 <li>
 Collaborate with the sales team to develop technical proposals and solution packages.
 </li>
 <li>
 Provide application data, proof-of-concept results, and ROI justification to support sales opportunities.
 </li>
 <li>
 Assist in equipment selection and configuration based on client requirements.
 </li>
 </ul>
 
 
 Post-Sales Support
 
 
 <ul>
 <li>
 Provide training and onboarding for customers on newly acquired equipment.
 </li>
 <li>
 Support troubleshooting, optimization, and method transfer as needed.
 </li>
 </ul>
 
 
 Market &amp; Product Knowledge
 
 
 <ul>
 <li>
 Maintain up-to-date knowledge of pharmaceutical R&amp;D processes, analytical instrumentation, and competitor offerings.
 </li>
 <li>
 Feed market insights and customer feedback into product development and sales strategy.
 </li>
 </ul>
 
 
 
 
 
 
</div>

Application & Formulation Specialist – Pharmaceutical R&D Equipment

Siemens

<div>
 We are the catalyst for the industrial world&rsquo;s digital transformation.
 
 
 For more than 35 years, ground breaking technologies and business models engineered and developed by Siemens Turkey R&amp;D department contributes to the global success of Siemens
 
 
 Our R&amp;D activities focused on the fields of electrification, automation and digitalization, provides end-to-end support to our global customers on their unique digital transformation journey.
 
 
 We aim to increase our strength on solution and product development with world class SW development experts, with the vision to be the digitalization partner for our global customers.
 
 
 We need game changers like you, to bring the next level of smart manufacturing and infrastructure from mere concept to reality, develop tomorrow&rsquo;s smart cities, and address the most critical digitalization challenges across a comprehensive range of industries.
 
 
 We are seeking an experienced and motivated
 
 R&amp;D Project Manager
 
 to lead and coordinate publicly funded international R&amp;D projects. This role involves end-to-end project management, from proposal development to execution and reporting, with a strong focus on collaboration and compliance.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Manage publicly funded international R&amp;D projects (e.g., Horizon Europe, Eureka, TEYDEB) from initiation to completion.
 </li>
 <li>
 Monitor local and international R&amp;D funding programs and develop collaborative project proposals from concept to submission.
 </li>
 <li>
 Build and maintain sustainable networks with universities and research institutions to foster collaborative R&amp;D initiatives.
 </li>
 <li>
 Oversee administrative processes, audits, and documentation for EU and T&Uuml;B&Idot;TAK-funded projects.
 </li>
 <li>
 Ensure compliance with Siemens&rsquo; internal processes, quality standards, and guidelines.
 
 
 </li>
 </ul>
 
 Required Qualifications And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Science, Engineering, or Business Administration. (MSc and PhD preferred)
 </li>
 <li>
 Minimum 5 years of hands-on experience in international R&amp;D project/program or process management.
 </li>
 <li>
 Proven experience managing publicly funded international R&amp;D projects.
 </li>
 <li>
 Proficiency in preparing documentation and presentations for publicly funded R&amp;D projects, including internal and external audits.
 </li>
 <li>
 Practical experience with Horizon Europe, Eureka, and T&Uuml;B&Idot;TAK TEYDEB / ARDEB programs, particularly in administrative project management, proposal writing, and submission.
 </li>
 <li>
 Familiarity with the Software Development Life Cycle (SDLC); experience as a software engineer is a plus.
 </li>
 <li>
 Experience in Agile Project Management and knowledge in Agile Framework ( LeSS, SAFe, XP, Scrum, Kanban )
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Fluent in English.
 </li>
 <li>
 Self-motivated, goal-oriented, and capable of managing multiple tasks simultaneously.
 </li>
 <li>
 Strong process orientation with a high level of quality awareness.
 </li>
 <li>
 Detail-oriented, accurate, and methodical in approach.
 
 
 </li>
 </ul>
 What We Offer?
 
 
 <ul>
 <li>
 Speak up Culture
 </li>
 <li>
 Respectful Workplace
 </li>
 <li>
 Being part of a global work environment
 </li>
 <li>
 Attractive remuneration package
 </li>
 <li>
 Excellent recognition tools providing spot awards
 </li>
 <li>
 Learning &amp; Development opportunities for both personal and professional growth
 </li>
 <li>
 Leave days for parents and a variety of flexible working models that allow time off for yourself and your family
 </li>
 <li>
 Creche allowance for mothers
 </li>
 <li>
 Share matching programs to become a shareholder of Siemens AG
 </li>
 <li>
 Remote working and remote living flexibility only for relevant positions
 </li>
 <li>
 Find more benefits here
 
 
 </li>
 </ul>
 Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.
 
 
 &ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow&lsquo;s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds&rdquo;
 
 
 As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receive applications of candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
 
 
 Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
 
 
 We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of you ability as we will use the data to review your suitability to the role.
 
 
 Please find more information from our web site:
 
 
 https://new.siemens.com/tr/tr.html
 
 
 Contact
 
 
 If you need more information please don't hesitate to contact us.
 
 
 +90 216 459 20 00
 
 
 https://new.siemens.com/tr/tr/genel/iletisim.html
 
 
 insanorganizasyon.tr@siemens.com
 
 
 www.instagram.com/siemensturkiye
 
 
 https://m.youtube.com/user/Siemens
 
 
</div>

R&D Project Manager ( Horizon Europe, Eureka, TEYDEB )

Yapı Kredi Teknoloji

<div>
 
 
 
 About:
 
 
 
 
 Yap&inodot; Kredi Technology is a technology company that produces innovative, high quality, and high value-added products and solutions in the finance sector. With more than 2,000 employees, it aims to create products that will shape the sector for Yap&inodot; Kredi Bank and to be the undisputed leader in the field of technology by using modern architectural systems and cloud technologies. It also contributes to the development of new and exemplary products for the sector by using natural language processing, machine learning, artificial intelligence, and data mining technologies with its R&amp;D team.
 
 
 
 
 
 
 
 Who We Are:
 
 
 
 
 At Yap&inodot; Kredi Technology, we research with passion, wonder as we learn, and implement innovations that shape the future together. We take responsibility from the first day with our expert colleagues and work with all our strength for pioneering applications. We make quick decisions and take action. We quickly adapt to innovations and changes.
 
 
 
 
 
 
 
 What Do We Offer:
 
 
 
 
 📌 Opportunity to work in hybrid model
 
 
 💻Opportunity to work in Ko&ccedil; Group Community Companies' offices
 
 
 🌴Chance to discover the natural wonders and amenities offered at Ko&ccedil; Toplululu&gbreve;u Spor Kul&uuml;b&uuml; (KTSK)
 
 
 🚀Career development opportunities in a structured technology career path
 
 
 💫 Opportunity to benefit from BizClub and Ko&ccedil;Ailem privileges exclusive to Yap&inodot; Kredi Technology employees
 
 
 🤝Company-contributed individual retirement insurance
 
 
 🎂 Birthday off day
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 We are seeking talented R&amp;D Engineers with a passion for solving real-world problems using machine learning and data analysis techniques, particularly in fraud and anomaly detection, handling imbalanced tabular datasets, time series forecasting, and computer vision applications, to join our Applied Data Science team.
 
 
 
 
 
 You will be working closely with other fast-paced and highly-skilled R&amp;D engineers in a pro-active and R&amp;D oriented software development team to take ML models from R&amp;D to production, scale and maintain them. As a full-stack R&amp;D Engineer, you will take a role in each phase of the project, i.e. data analysis, technical design, prototyping, ML development, integration development to core banking systems and end-to-end testing.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Having / Pursuing or willing to have an M.Sc. or Ph. D. degree in Machine Learning/Deep Learning related field from Computer, Industrial or Electrical and Electronics Engineering,
 </li>
 <li>
 Demonstrated expertise in coding and problem-solving using Python,
 </li>
 <li>
 Extensive experience and fluency in utilizing data science tools such as pandas, numpy, matplotlib, scipy, and scikit-learn for data manipulation, analysis, and visualization,
 </li>
 <li>
 A keen interest and enthusiasm for tackling the complexities of imbalanced data and developing effective solutions,
 </li>
 <li>
 Familiarity with advanced machine learning and deep learning techniques, including sequence modeling (e.g., for time series analysis) and ensemble methods (e.g., gradient boosting algorithms), to solve complex problems in various domains.
 </li>
 <li>
 Experience with computer vision techniques (e.g., image classification, object detection) is considered a strong plus.
 </li>
 <li>
 Practical experience applying advanced machine learning techniques to real-world datasets, with a demonstrated ability to analyze results, fine-tune models, and troubleshoot issues.
 </li>
 <li>
 Strong understanding of ML training, testing, data processing steps and ML project pipelines,
 </li>
 <li>
 Effectively communicate technical concepts and project updates to the stakeholders, ensuring alignment and understanding,
 </li>
 <li>
 Eager to follow technical literature and willing to contribute actively by publishing academic papers in international conferences.
 </li>
 </ul>
 
 
 
 
 
 
 Would be Advantageous:
 
 
 
 <ul>
 <li>
 Experience with version control systems (Git, Git LFS, &hellip;)
 </li>
 <li>
 Experience with object-oriented programming languages (Java, C#, C++, &hellip;)
 </li>
 <li>
 Familiarity with Linux (Debian, Ubuntu, Fedora, RHEL, &hellip;)
 </li>
 <li>
 Experience in building and consuming web services (REST, SOAP, gRPC, &hellip;)
 </li>
 <li>
 Experience with SQL databases (Oracle, PostgreSQL, SQL Server, &hellip;)
 </li>
 <li>
 Experience with NoSQL databases (MongoDB, Redis, Apache Cassandra, &hellip;)
 </li>
 <li>
 Experience with containerization and orchestration tools (Docker, Podman, Kubernetes, &hellip;)
 </li>
 <li>
 Experience with cloud computing platforms (AWS, Azure, Google, &hellip;)
 </li>
 <li>
 Experience with data visualization tools (Power BI, Tableau, &hellip;)
 </li>
 <li>
 Experience with workflow tools (Apache Airflow, Kubeflow, MLflow, &hellip;)
 </li>
 </ul>
 
 
 
 
 
 
 Candidate Selection Process:
 
 
 
 
 Our recruitment process for all positions typically encompasses technical interviews, director assessments, competency evaluations, and personality tests. We will extend our offer to candidates who have successfully completed a positive evaluation process.
 
 
 
 
 
 
 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda ki&scedil;isel verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;za ve bu konudaki detayl&inodot; bilgiye https://kariyerim.yapikredi.com.tr/Account/StaticKvkk adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz
 
 
</div>

R&D Engineer 'Applied Data Science'

QNB Türkiye

<div>
 
 
 DATA SCIENTIST
 
 
 
 
 
 
 
 ENHANCE YOUR WORLD WITH AN ENHANCING CAREER
 
 
 
 
 
 
 Are you aware of the power of data analyzing in banking sector which is putting human at the center of the business. Do you trust yourself at creating value at a developing area of one of the oldest and biggest sectors in the World.
 
 
 
 
 
 QNB is always supporting employees who are eager to create a development at their career and the future of the sector. Our human resources policies are aiming to create an equal, fulfilled and empowering working atmosphere for individuals willing to have a satisfying career journey.
 
 
 
 
 
 
 What are the opportunities for you
 
 
 
 
 
 <ul>
 <li>
 Empowering working atmosphere which will appreciate your desire for development
 </li>
 <li>
 Keeping up to date with a progressive sector always looking for a new opportunity
 </li>
 <li>
 Building a career at one of the most trustable and growing sectors.
 </li>
 <li>
 Comfort of working at an environment supporting your happiness and growth
 </li>
 </ul>
 
 
 
 
 
 If you are willing to be a part of this developmental atmosphere
 
 
 
 
 
 
 We are seeking for several data scientists (
 
 junior and mid-level
 
 ) who will help us in discovering the information in vast amounts of data, and making smarter decisions in
 
 QNB R&amp;D Center
 
 . Your focuses will be combining data-driven insights and business knowledge to create analytical solutions for business units and applying machine learning techniques, doing statistical analysis, and building high quality prediction systems integrated with current systems in R&amp;D Center projects. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
 
 
 
 
 
 
 
 Job Description of Our Team:
 
 
 
 
 In order to ensure that process is managed in an accurate and effective way;
 
 <ul>
 <li>
 Designing, developing, and maintaining new and current Dashboards, data models and reports to support business performance evaluations
 </li>
 <li>
 Troubleshooting and adjusting existing data and automated reporting environments
 </li>
 <li>
 Using extensive SQL and code knowledge to derive insights from large datasets in order to solve real-life, fast-paced business problems.
 </li>
 <li>
 Visualizing data through visualization tools and compelling data and portfolio trends to management and business units.
 </li>
 <li>
 Analyzing and extracting data to uncover insights, trends, and opportunities that inform strategic decisions and perform analysis.
 </li>
 <li>
 Collaborating closely with cross-functional teams, particularly IT, to define and execute data analysis projects,
 </li>
 <li>
 Contributing to the development of data analytics strategies aligned with business objectives,
 </li>
 <li>
 Monitoring key performance indicators (KPIs) and providing actionable recommendations based on your analyses,
 </li>
 <li>
 Developing predictive models using various machine learning techniques,
 </li>
 <li>
 Preparing smart variables by performing big data analysis, feature engineering,
 </li>
 <li>
 Keeping up-to-date with latest technology trends, and doing AI projects with Python/R,
 </li>
 <li>
 Establishing connection between the relevant units and with the consulting firms from which support is received in projects, when necessary,
 </li>
 </ul>
 
 
 
 
 
 We are waiting for your application if;
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from a reputable university (preferably in Mathematics, Engineering etc.),
 </li>
 <li>
 Interested in big data, analytics and machine learning subjects,
 </li>
 <li>
 Maximum 4 years of experience in related departments
 </li>
 <li>
 A methodological approach to data by presenting it clearly and effectively to support business decisions
 </li>
 <li>
 Ability to visualize data or use visualization tools,
 </li>
 <li>
 Good command of MS Office programs
 </li>
 <li>
 Good command of SQL for effective data manipulation and querying is a plus
 </li>
 <li>
 Using one of the following modeling programs effectively; SAS, Python, R or SPSS is a plus
 </li>
 <li>
 Fluency in English, both written and spoken
 </li>
 <li>
 Open-minded, strong analytical point of view and problem-solving skills,
 </li>
 </ul>
 
 
 
 
 The future of banking is waiting for you, apply to create an impact on this inspire full journey.
 
</div>

Data Scientist

The Coca-Cola Company

<div><div>The Istanbul Juice satellite lab, located in Istanbul is a satellite lab, associated to the Coca-Cola Company&rsquo;s Research and Development Center based in Belgium, overseeing the development of new beverages and retail equipment innovation for Europe, Eurasia, Middle East and Africa.
We are looking for a R&amp;D intern to assist all R&amp;D activities in laboratory in product development, innovation, reformulation and value optimization projects, mainly in the juice category.
Key responsibilities:<ul><li>
Manage operational activities in the lab including ingredient &amp; expenditure stock replenishment, sample shipment coordination, equipment maintenance plans, Order ingredients to conduct lab trials etc.</li></ul><ul><li>
Support in the development of prototypes at lab scale</li><li>
Conduct laboratory analyses of ingredients and beverages.</li><li>
Measure analytical properties of prototypes</li><li>
Experimental work on formulation optimization and product quality improvement</li><li>
Ensure that samples and ingredients are properly labelled/stored, that safety guidelines are followed and help maintaining a clean and orderly environment.</li><li>
Filling accurately internal databases for stability tracking, formula database, project management tools.</li><li>
Conduct literature research and document the findings in a well-organized way</li><li>
Continuous curiosity on competition activities and strategy and trends in the category, identifying growth opportunities.</li></ul>
Skills &amp; Qualifications:
We welcome people of all different backgrounds, experiences, abilities and perspectives to apply.<ul><li>
Bachelor or Master students in Food Technology, Food Science, or related field of study</li><li>
Candidates must be enrolled with at least one year remaining of studies at university at the time of application</li><li>
Knowledge and working experience of laboratory activities, analytical instruments (pH, acidity, brix etc.)</li><li>
Able to come to the office at least 3 days a week.</li><li>
Mandatory English fluency</li><li>
Ability to work in a multi-cultural environment</li><li>
Must be a creative mind and have a passion for beverage industry</li><li>
Disciplined and attentive</li><li>
Strong analytical and interpersonal skills</li><li>
Effective communication and project management skills</li><li>
Fast learner and able to work autonomously in a multicultural environment</li><li>
Proficient with Microsoft Office (Excel, Word, PowerPoint) and data management</li></ul>
What we can do for you:<ul><li>
Iconic &amp; Innovative Brands: Our portfolio represents over 250 products with some of the most popular brands in the world and we&rsquo;re always expanding</li><li>
Expansive &amp; Diverse Customers: We focus on diversified and large range of customers each day</li><li>
Critical experiences: We work as a global network with a wide range of cross-functional partners to step-change the way we refresh the world and make an impact every day</li><li>
Growth Culture: learning organization with a bias for action, fully empowering curious individuals to leverage our global network and a wealth of human insights to deliver amazing results.</li><li>
You will grow as a member of our creative and multi-cultural R&amp;D Team.</li><li>
You will be working for one of the main R&amp;D center of The Coca-Cola Company, within a multidisciplinary team, supporting innovation for more than 100 countries.</li></ul>
Skills:
Communication; Project Management; Research and Development; organization; Microsoft Office; Product Development</div></div>

R&D Intern

Sompo Sigorta

<div>
 
 Sompo Sigorta A.&Scedil;. is one of the subsidiary of Sompo Japan Insurance Inc., which operates with 77.400 employees in the world as a pioneer in the sector with its technological infrastructure, product range created by considering customer needs, and customer-centered service approach, is looking for &ldquo;Actuarial Data Scientist / Pricing Analyst&rdquo; to take part in its growing team.
 
 
 
 
 
 
 Job Description :
 
 
 
 Our pricing and tariff management team is expanding and we are hiring for multiple roles with varying levels of experience.
 
 
 
 
 
 These roles mainly include: data preparation, data analysis, modeling, model implementation, monitoring, strategic tariff management steps. Details of steps vary depending on the roles.
 
 
 
 
 
 You will join a diverse team of professionals and have the opportunity to work on innovative projects.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 &middot; Preparing and analyzing data with complex manipulations on big data.
 
 
 &middot; Design and create end-to-end pricing processes for individual products.
 
 
 &middot; Building Actuarial Risk Models, Price Sensitivity Models and Hybrid Models with Statistical Learning and Machine Learning methods (GLM/GAM/Regression, GBM, Supervised Tree Based Algorithms, Unsupervised Models)
 
 
 &middot; Work closely and exchange information with internal teams (Product Managers, Marketing, IT, Claims) to improve the quality of pricing algorithms and develop pricing strategies.
 
 
 &middot; Manage the tariff by reviewing and monitoring the impact analysis of prices, market, models, products by creating new KPIs..
 
 
 &middot; Following new publications and academic papers in the field of data science and actuarial pricing, conducting practical R&amp;D research and implementing well-performing structures together with IT.
 
 
 &middot; Develop tariff management strategies
 
 
 &middot; Creating reports and BI screens for all processes and ensuring their automatization.
 
 
 
 Requirements:
 
 
 
 &middot; Graduated from related fields of universities (Mathematics, Statistics, Actuarial, Industrial Engineering or Computer Sciences) (Master's degree in related fields will be a plus)
 
 
 &middot; To be able to think multidimensionally and to have the ability to produce analytical solutions to problems.
 
 
 &middot; Practical and theoretical mastery of Machine Learning and Regression models.
 
 
 &middot; To have the competence to create and follow up analytical models
 
 
 &middot; Experience in insurance and/or data analytics.
 
 
 &middot; To have the ability to make presentations and tell a story with data.
 
 
 &middot; Advanced command of MS Office tools (especially excel)
 
 
 &middot; Experience in data preparation and analysis with at least one of Python, R, SQL, Knime, SAS platforms.
 
 
 &middot; Experience in WTW (Emblem, Radar) tools is a plus.
 
 
 &middot; Experience in Machine Learning and Deep Learning libraries in Python and R languages is a plus (H2O, Pytorch, scikitlearn, etc.).
 
 
 &middot; Experience in BI tools is a plus (PowerBI, QlickSense, Tableu, etc.)
 
</div>

Actuarial Data Scientist / Pricing Analyst

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1385 irket of r jobs IN Istanbul

Application & Formulation Specialist – Pharmaceutical R&D Equipment

R&D Project Manager ( Horizon Europe, Eureka, TEYDEB )

R&D Engineer 'Applied Data Science'

Data Scientist

R&D Intern

Data Scientist

Actuarial Data Scientist / Pricing Analyst