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Odeabank

<div>
 
 
 Advanced Analytics and Data Science - Senior Specialist
 
 
 
 
 
 
 We&rsquo;re Hiring: Advanced Analytics and Data Science Team
 
 
 Are you ready to bring your data science expertise into a fast-paced, agile, and impact-driven environment? We&rsquo;re looking for a Senior Data Scientist to join our growing Advanced Analytics and Data Science (CoE) team &mdash;where you&rsquo;ll work on end-to-end data science projects that directly shape the future of our business.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 As part of the CoE, you'll collaborate across diverse domains including finance, marketing, operations, credit risk, and AI applications. Our projects are fast-moving and solution-oriented, often launched from scratch and built into production in weeks. You'll have the chance to work with top-tier talent, develop scalable solutions, and present your work to senior leadership &mdash; driving real business impact at every step.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing:
 
 
 
 
 
 <ul>
 <li>
 Lead and contribute to end-to-end data science projects: from business understanding to model deployment
 </li>
 <li>
 Design, prototype, and implement machine learning and AI solutions using Python
 </li>
 <li>
 Collaborate with cross-functional teams in finance, marketing, risk, and operations to deliver actionable insights
 </li>
 <li>
 Translate business problems into data science opportunities
 </li>
 <li>
 Ensure high code quality through version control (Git), code reviews, and adherence to software development best practices
 </li>
 <li>
 Query and manipulate data using SQL and manage workflows using bash and automation tools
 </li>
 <li>
 Contribute to CI/CD pipelines for ML/AI deployment
 </li>
 <li>
 Communicate findings effectively to technical and non-technical stakeholders, including senior leadership
 </li>
 <li>
 Stay up-to-date with the latest developments in AI, ML, and data science tools
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a STEM field, Economics, or Finance
 </li>
 <li>
 3+ years of relevant experience in data science, advanced analytics, or applied ML
 </li>
 <li>
 Expertise in Python and common data science libraries (pandas, scikit-learn, etc.)
 </li>
 <li>
 Strong knowledge of relational databases and fluency in SQL
 </li>
 <li>
 Hands-on experience with ML and AI algorithms
 </li>
 <li>
 Exposure to bash scripting and workflow automation
 </li>
 <li>
 Experience working in agile teams
 </li>
 <li>
 Familiarity with Git and collaboration tools
 </li>
 <li>
 Strong understanding of software development best practices
 </li>
 <li>
 Exposure to CI/CD practices for data science or ML pipelines
 </li>
 <li>
 Excellent communication and problem-solving skills
 </li>
 </ul>
 
 
 
 
 Ready to take the next step in your data science journey? Apply now and be part of a collaborative, high-impact team where your work matters from day one.
 
 
 
</div>

Advanced Analytics and Data Science - Senior Specialist

Eczacıbaşı Holding

<div>
 
 
 Eczac&inodot;ba&scedil;&inodot; Holding
 
 
 
 
 
 
 Established by Dr. Nejat F. Eczac&inodot;ba&scedil;&inodot; in 1942, Eczac&inodot;ba&scedil;&inodot; Group is one of Turkey's leading industrial conglomerates, operating primarily in construction products, consumer products, healthcare, and natural resources sectors for both national and international markets. It has a total of 50 entities, including one foreign partnership, more than 13,500 employees also engaging in real estate development, natural resources, and information technology.
 
 
 
 
 
 
 What Do We Expect from Our New Team Member?
 
 
 <ul>
 <li>
 If you can design and implement Generative AI solutions that enhance business value&mdash;developing use cases, integrating LLMs into analytical workflows, and building intelligent systems that support decision-making and innovation,
 </li>
 <li>
 If you can lead and contribute to end-to-end Gen AI and advanced analytics projects, transforming data into strategic insights and scalable solutions,
 </li>
 <li>
 If you can design, fine-tune, and deploy LLMs or RAG pipelines to meet specific business needs, ensuring high performance and relevance,
 </li>
 <li>
 If you are passionate about researching cutting-edge Gen AI trends, experimenting with new architectures, and turning prototypes into production-ready tools,
 </li>
 <li>
 If you are capable of monitoring, evaluating, and optimizing Gen AI model performance under evolving conditions and use cases,
 </li>
 <li>
 If you are eager to shape and scale our Gen AI ecosystem, collaborating with other teams and advocating for responsible AI practices.
 </li>
 </ul>
 
 
 
 
 
 You are exactly the person we are looking for!
 
 
 
 
 
 
 
 Your team is waiting for you!
 
 
 
 
 
 
 
 What kind of teammate are we looking for?
 
 
 <ul>
 <li>
 A degree in Engineering, Computer Science, Mathematics, Statistics, or a related field. A Master's or PhD in AI, NLP, or Data Science is a strong plus.
 </li>
 <li>
 Minimum of 5 years of experience in data science, with hands-on experience in Gen AI, NLP, or LLM development.
 </li>
 <li>
 Strong knowledge and experience in training, fine-tuning, and evaluating Large Language Models (LLMs).
 </li>
 <li>
 Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and prompt engineering techniques.
 </li>
 <li>
 Experience developing endpoints, APIs, or lightweight web apps (e.g., Dash, Flask, Streamlit, React) to deliver Gen AI solutions.
 </li>
 <li>
 Ability to optimize Gen AI models for performance, cost-efficiency, and business relevance.
 </li>
 <li>
 Proficiency in Python (Hugging Face Transformers, LangChain, Pandas, Scikit-learn, TensorFlow/PyTorch) and SQL.
 </li>
 <li>
 Experience with cloud platforms, especially Microsoft Azure AI Foundry or AWS, and MLOps tools are a plus.
 </li>
 <li>
 If you enjoy analytical thinking and research, are curious about new technologies, and have a strong desire to learn,
 </li>
 <li>
 If you are prone to teamwork and interpersonal abilities.
 </li>
 <li>
 Proficiency in English is preferred.
 </li>
 </ul>
 
 
 
 
 
 &laquo;You should live your career, development, life and future at Eczac&inodot;ba&scedil;&inodot;!&raquo;
 
 
 
 
 
 
 
 What is here for you?
 
 
 
 You can continuously improve your personal, professional, and technical competencies by participating in our education programs that support you and your career,
 
 
 Opportunities for global opportunities and rotation among more than 120 international markets among more than 40 organizations can always knock on your door,
 
 
 At Eczac&inodot;ba&scedil;&inodot;, leave entitlements are calculated based on the employee's total work experience and come with your employment,
 
 
 We always applaud successes with different reward methods,
 
 
 With work models differentiated according to the nature of the job, you can take advantage of location-independent or hybrid work opportunities and determine your own working hours with flexible working hours,
 
 
 Being a mother or father at Eczac&inodot;ba&scedil;&inodot; is a privilege. Monthly nursery aid is provided to working mothers at Eczac&inodot;ba&scedil;&inodot;, and working fathers are entitled to 21 days of paternity leave. We are determined to ensure equal opportunities in employment,
 
 
 We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or seniority status
 
 #WeDoNotDifferentiateBetweenJobsForWomenAndMen.
 
 
 
 
</div>

Senior Data Scientist (Generative AI)

Obase

<div>
 
 We are looking for experienced and passionate Data Scientists to join our dynamic consultancy team, delivering cutting-edge Artificial Intelligence solutions across a wide range of industries including retail, banking, telecom and airlines.
 
 
 In this role, you will be responsible for designing and developing predictive and forecasting models using both classical statistical methods and modern machine learning techniques, while also contributing to LLM-based AI solutions.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
 </li>
 <li>
 2+ years of experience in data science or applied machine learning with a focus on predictive analytics or forecasting
 </li>
 <li>
 Experience with demand forecasting, financial time series or capacity planning projects
 </li>
 <li>
 Proficient in Python or R and experienced with commonly used data science libraries and frameworks
 </li>
 <li>
 Strong command of SQL for data extraction, transformation, and analysis
 </li>
 <li>
 Hands-on experience with LLMs and NLP libraries (HuggingFace, LangChain, OpenAI API)
 </li>
 <li>
 Familiar with MLOps tools like MLflow, Docker, or Kubernetes
 </li>
 <li>
 Comfortable communicating with clients, understanding business needs, and presenting results to both technical and non-technical audiences
 </li>
 <li>
 Strong verbal and written communication skills in English
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and implementation of time series forecasting models
 
 (e.g. ARIMA, Prophet, LSTM, XGBoost) for demand prediction, sales forecasting and resource planning
 </li>
 <li>
 Lead the development and fine-tuning of LLM-based solutions for NLP tasks including text summarization, classification, conversational AI, and RAG (Retrieval-Augmented Generation)
 </li>
 <li>
 Conduct end-to-end data science workflows, including data cleaning, feature selection, transformation, and exploratory data analysis
 </li>
 <li>
 Collaborate with clients and stakeholders to understand business requirements and present data-driven insights clearly.
 </li>
 <li>
 Stay up-to-date with the latest trends in AI, ML, and LLM technologies and proactively bring them into projects
 </li>
 <li>
 Support the deployment of models into production environments in collaboration with engineering teams
 </li>
 </ul>
 
 
</div>

Data Scientist

Yıldız Tech

<div>
 
 The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our 80 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 45 factories, 20 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 80 years with our products, services and sustainable social responsibility understanding.
 
 
 
 
 
 
 
 
 Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 Y&inodot;ld&inodot;z Tech's Digital Transformation organization is seeking a
 
 Data Scientist / Senior Data Scientist
 
 to shape the vision, define the strategy, and drive the execution of our data-driven initiatives. In this role, you will understand user needs and business objectives, facilitate the development of data models and analytics solutions, and support data-driven decision-making processes.
 
 
 
 
 
 
 
 
 
 
 
 
 What Awaits You, What Will Be Your Responsibilities?
 
 
 
 
 
 <ul>
 <li>
 
 Researching, designing, implementing, and evaluating
 
 machine learning approaches and models.
 </li>
 <li>
 Assisting in analyzing
 
 large datasets
 
 using statistical techniques and machine learning algorithms.
 </li>
 <li>
 Supporting the development, implementation, and evaluation of
 
 predictive models
 
 and
 
 data-driven solutions
 
 to address business challenges.
 </li>
 <li>
 
 Preprocessing and cleaning raw data
 
 to ensure its quality, integrity, and usability for analysis.
 </li>
 <li>
 Applying
 
 data wrangling techniques
 
 to handle missing values, outliers, and inconsistencies in the data.
 </li>
 <li>
 Creating
 
 visualizations, charts, and dashboards
 
 to communicate insights and findings from data analysis effectively.
 </li>
 <li>
 Collaborating with
 
 senior data scientists, analysts
 
 , and
 
 business stakeholders
 
 to understand project requirements and objectives.
 </li>
 <li>
 Contributing ideas and insights to
 
 team discussions
 
 and brainstorming sessions.
 </li>
 <li>
 Staying updated on the latest
 
 trends, tools
 
 , and techniques in
 
 data science
 
 and
 
 machine learning
 
 .
 </li>
 <li>
 Documenting
 
 analysis methods
 
 , findings, and results in clear and concise reports.
 </li>
 <li>
 Preparing
 
 presentations
 
 and
 
 documentation
 
 to communicate project outcomes to stakeholders and team members.
 </li>
 <li>
 
 Deploying machine learning models
 
 into production environments using containerization, orchestration, and model serving frameworks.
 </li>
 <li>
 Exploring, fine-tuning, and applying
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI solutions
 
 to address business needs and automation opportunities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What will be the qualifications we expect from you?
 
 
 
 
 
 <ul>
 <li>
 BS Degree in Statistics, Computer Science/Engineering, Industrial Engineering (or other related engineering fields).
 </li>
 <li>
 Good command of SQL.
 </li>
 <li>
 Strong programming and scripting skills in
 
 Python
 
 (packages: pandas, NumPy, matplotlib, scikit-learn, TensorFlow, PySpark, etc.).
 </li>
 <li>
 Minimum
 
 3 / 5 years of experience
 
 in related fields.
 </li>
 <li>
 Hands-on project experience in some of the following areas:
 </li>
 <li>
 
 Predictive analytics
 
 : cross-sell/up-sell modelling, churn prediction, demand forecasting, time series analysis.
 </li>
 <li>
 
 Customer analytics
 
 : segmentation, recommendation systems.
 </li>
 <li>
 
 AI and machine learning applications
 
 : image processing, natural language processing (NLP).
 </li>
 <li>
 Excellent command of English.
 </li>
 <li>
 Ability to manage a variety of cross-organizational projects (scope, stakeholders, desired outcomes), working closely with a broad range of internal and external teams.
 </li>
 <li>
 Effective communication skills.
 </li>
 <li>
 Analytical perspective.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 The following qualifications are a plus:
 
 
 
 
 
 <ul>
 <li>
 Understanding and hands-on experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 , including
 
 fine-tuning
 
 ,
 
 embedding models
 
 ,
 
 prompt engineering
 
 , or
 
 agent orchestration
 
 (e.g., LangChain, OpenAI APIs, Hugging Face Transformers).
 </li>
 <li>
 Hands-on experience in deploying machine learning models using tools such as
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 CI/CD pipelines
 
 (e.g., Jenkins, GitLab CI).
 </li>
 <li>
 Familiarity with
 
 model serving frameworks
 
 such as
 
 MLflow
 
 ,
 
 FastAPI
 
 , or
 
 TorchServe
 
 .
 </li>
 <li>
 Practical experience with cloud platforms such as
 
 AWS
 
 and/or
 
 Azure
 
 , especially in
 
 infrastructure management
 
 ,
 
 data storage
 
 ,
 
 networking
 
 , and
 
 resource provisioning
 
 (e.g., S3, Blob Storage, EC2, VMs, IAM).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Which skills will highlight you?
 
 
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking skills.
 </li>
 <li>
 Effective communication and collaboration abilities.
 </li>
 <li>
 Ability to manage and prioritize multiple projects and tasks simultaneously.
 </li>
 <li>
 Hands-on experience in
 
 deploying machine learning models
 
 into production environments.
 </li>
 <li>
 Curiosity and practical experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 .
 </li>
 <li>
 Team spirit and leadership in collaborative environments.
 </li>
 <li>
 Proficiency in MS Office applications.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ; https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 
</div>

Data Scientist / Senior Data Scientist

Aksigorta

<div>
 
 Aksigorta&rsquo;da kariyerine y&ouml;n verirken, cesaretinle fark yarataca&gbreve;&inodot;n, benzersiz bir tak&inodot;mla bamba&scedil;ka sigortac&inodot;l&inodot;&gbreve;a imza ataca&gbreve;&inodot;n &ldquo;&ccedil;ok ba&scedil;ka&rdquo; bir kariyer seni bekliyor.
 
 
 
 
 
 9 sekt&ouml;rde 16 &scedil;irketiyle T&uuml;rkiye ile d&uuml;nyay&inodot; bulu&scedil;turan Sabanc&inodot; Holding ile sigortac&inodot;l&inodot;kta 150 y&inodot;ll&inodot;k global oyuncu Ageas Group sinerjisinden beslenen ve 60 y&inodot;ll&inodot;k deneyime sahip T&uuml;rkiye&rsquo;nin en b&uuml;y&uuml;k sigorta &scedil;irketlerinden birinde &ccedil;al&inodot;&scedil;mak, Aksigortal&inodot; olmak ister misin?
 
 
 
 
 
 Teknoloji ve Operasyonel M&uuml;kemmellik ekibimizde de&gbreve;erlendirmek &uuml;zere Data Scientist adaylar&inodot;n&inodot;n ba&scedil;vurular&inodot;n&inodot; bekliyoruz!
 
 
 
 
 
 
 Genel Nitelikler
 
 
 <ul>
 <li>
 &Uuml;niversitelerin M&uuml;hendislik, Akt&uuml;erya ve &Idot;statistik lisans ve &uuml;zeri b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Tercihen en az 5 sene sigorta sekt&ouml;r&uuml; deneyimi olan,
 </li>
 <li>
 Sekt&ouml;rel ve sekt&ouml;r d&inodot;&scedil;&inodot; yenilikleri takip eden ve s&uuml;rekli &ouml;&gbreve;renme ve geli&scedil;imi prensip edinen,
 </li>
 <li>
 &Idot;leri seviyede s&ouml;zl&uuml; ve yaz&inodot;l&inodot; &Idot;ngilizce kullanabilen.
 </li>
 <li>
 Ba&scedil;tan sona Data Science proje geli&scedil;tirme tecr&uuml;besine sahip, Data Science algoritmalar&inodot;nda y&uuml;ksek seviyede bilgi sahibi.&Ouml;rn: (Xgboost, Light GBM, SVM, KNN, Naive Bayes)
 </li>
 <li>
 Big Data sistemleri (Microsoft Fabric, Hadoop, Hive, Airflow) ile ilgili bilgi sahibi olan,
 </li>
 <li>
 Data Science ve Generative AI uygulamalar&inodot; konusunda y&uuml;ksek derecede bilgi sahibi olan. (SAS, Datarobot, Python, OPENAI vb.)
 </li>
 <li>
 Data Analytics architecture hakk&inodot;nda bilgi sahibi olan
 </li>
 <li>
 Makine &Ouml;&gbreve;renmesi ve Yapay Zeka projelerinde binary,numeric ve kategorik de&gbreve;i&scedil;kenler olu&scedil;turmak i&ccedil;in veri ke&scedil;if analizleri, veri haz&inodot;rlama a&scedil;amalar&inodot;na y&uuml;ksek derecede haiz
 </li>
 <li>
 SQL/PL-SQL kodlama bilgisi olan, PL-SQL paket ve prosed&uuml;rlerin olu&scedil;turulmas&inodot; veya SAS EG kodlama ile veya Python kodlama &uuml;zerinde ile veri haz&inodot;rlama konusunda y&uuml;ksek derecede bilgi sahibi olan bir ekip arkada&scedil;&inodot; ar&inodot;yoruz.
 </li>
 </ul>
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;
 
 
 <ul>
 <li>
 Aksigorta&rsquo;n&inodot;n risk, fiyatlama ve m&uuml;&scedil;teri s&uuml;re&ccedil;lerine katk&inodot; sa&gbreve;layacak veri odakl&inodot; modeller geli&scedil;tirmek, makine &ouml;&gbreve;renmesi projeleri y&uuml;r&uuml;tmek.
 </li>
 <li>
 B&uuml;y&uuml;k veri setleri &uuml;zerinde veri temizleme, d&ouml;n&uuml;&scedil;t&uuml;rme ve entegrasyon &ccedil;al&inodot;&scedil;malar&inodot; ger&ccedil;ekle&scedil;tirmek.
 </li>
 <li>
 &Idot;statistiksel ve makine &ouml;&gbreve;renmesi tabanl&inodot; modeller kurmak, test etmek ve iyile&scedil;tirmek.
 </li>
 <li>
 Akt&uuml;erya, &uuml;r&uuml;n y&ouml;netimi ve i&scedil; analizi ekipleriyle yak&inodot;n temas halinde &ccedil;al&inodot;&scedil;mak; ihtiya&ccedil; analizi yapmak ve &ccedil;&ouml;z&uuml;mler &uuml;retmek.
 </li>
 <li>
 Model performans&inodot;n&inodot; d&uuml;zenli olarak takip ederek, iyile&scedil;tirme f&inodot;rsatlar&inodot;n&inodot; belirlemek ve hayata ge&ccedil;irmek.
 </li>
 <li>
 Sigortac&inodot;l&inodot;k sekt&ouml;r&uuml;ndeki yeni trendler, teknolojiler ve d&uuml;zenlemeleri takip ederek projelerde uygulamak; &scedil;irketin dijital d&ouml;n&uuml;&scedil;&uuml;m&uuml;ne katk&inodot; sunmak.
 </li>
 <li>
 Model sonu&ccedil;lar&inodot;n&inodot; ve veri analizi &ccedil;&inodot;kt&inodot;lar&inodot;n&inodot; anla&scedil;&inodot;l&inodot;r ve etkili bir &scedil;ekilde ilgili payda&scedil;lara (y&ouml;netim, i&scedil; birimleri) sunmak.
 </li>
 </ul>
 
 
 
 
 
 Aksigorta&rsquo;da seni neler bekliyor?
 
 
 
 
 
 
 
 Yabanc&inodot; Dil Deste&gbreve;i:
 
 Online ve &uuml;cretsiz olarak &Idot;ngilizce&rsquo;mizi geli&scedil;tiriyoruz.
 
 
 
 
 
 
 K&inodot;yafet Prosed&uuml;r&uuml;:
 
 Konforlu &ccedil;al&inodot;&scedil;may&inodot; &ouml;nemsiyor, y&inodot;l i&ccedil;erisinde kat&inodot; k&inodot;yafet kurallar&inodot; uygulam&inodot;yoruz! &Ouml;rne&gbreve;in yaz&inodot;n hem s&inodot;caktan daha az etkilenmek, hem de daha rahat &ccedil;al&inodot;&scedil;abilmek i&ccedil;in ofislerimizde &scedil;ortlar&inodot;m&inodot;zla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 
 
 
 
 
 &Scedil;irket Katk&inodot;l&inodot; BES:
 
 Birikim tutar&inodot;n kadar &scedil;irketin sa&gbreve;lad&inodot;&gbreve;&inodot; katk&inodot;yla gelece&gbreve;ine yat&inodot;r&inodot;m yapabilmen i&ccedil;in destek oluyoruz.
 
 
 
 
 
 
 Sabanc&inodot; Life:
 
 Sabanc&inodot; &ccedil;al&inodot;&scedil;anlar&inodot;na &ouml;zel farkl&inodot; indirim f&inodot;rsatlar&inodot;ndan yararlan&inodot;yoruz.
 
 
 
 
 
 
 Kul&uuml;plerimiz:
 
 6 farkl&inodot; spor kul&uuml;b&uuml;m&uuml;z ile d&uuml;zenli antrenmanlar yap&inodot;yor, y&inodot;l i&ccedil;erisinde &scedil;irketler aras&inodot; turnuvalara kat&inodot;larak ba&scedil;ar&inodot;lara imza at&inodot;yoruz! Sosyal kul&uuml;plerimiz ile de her ay gurme etkinliklerinden, sanat at&ouml;lyelerine; konserlerden tiyatroya uzanan keyifli aktivitelerde bulu&scedil;arak hep beraber sosyalle&scedil;iyoruz.
 
</div>

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮𝐫𝐤𝐢𝐲𝐞
 
 
 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.
 
 
 
 
 
 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!
 
 
 
 
 
 
 ING Analytics
 
 
 
 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 etc.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 You will be responsible for:
 
 
 <ul>
 <li>
 As a Data Analyst you will play a crucial delivery role in the data-driven culture supporting our products and services. You will be responsible for delivering valuable insights to improve client experience by applying the latest Analytics interaction techniques in the domain of dialogue systems and natural language processing.
 </li>
 <li>
 Your day-to-day job will consist of the exploitation / analysis of conversational data. You bring insights into technical possibilities and client needs in order to contribute to the design and construction of automated solutions that ensure an optimal client experience.
 </li>
 <li>
 You have a good background or very strong interest in analytics and IT which allows you to improve customer and employee journey via state-of-the-art virtual assistant solutions.
 </li>
 <li>
 As a Data Analyst, you will be part of an Agile environment by being a member of a multidisciplinary team of 10 specialists. Your colleagues have a rich background in data management and analytics both in IT and/or business. There is also an immediate link with the global Customer Dialogue Analytics activities.
 </li>
 </ul>
 
 
 
 
 
 A day in the life of an Data Analyst
 
 
 
 Even if you&rsquo;ll start your day from the comfort of your home or drink your morning coffee in our office&rsquo;s garden, your day will be quite similar when comes to tasks. Here are your daily responsibilities:
 
 <ul>
 <li>
 Identify, analyze, and interpret trends or patterns in complex data sets (both structured and unstructured textual data) in collaboration with data scientists, in order to improve performance of our virtual assistants, based on Google DialogFlow
 </li>
 <li>
 Management of databases, data collection systems, data analytics and other strategies to optimize data quality. Analyze data and performance levels of our dialogue systems and proactively propose improvements
 </li>
 <li>
 Communicate these recommendations and provide data / analytical support to the stakeholders using both analytical and business jargon (written and oral)
 </li>
 <li>
 Work with the product owner to prioritize business and information needs, and accordingly implement them into an analytical approach
 </li>
 <li>
 Work closely together with a team of experts organized in a self-steering team, exercising freedom in defining goals and deadlines for each element you deliver as a team
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <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>
 2-5 years of experience within data reporting &amp; statistics
 </li>
 <li>
 Strong knowledge of SQL
 </li>
 <li>
 An interest or experience in these tools: Python, Looker or Cognos
 </li>
 <li>
 Experience of doing it with Google DialogFlow (nice to have)
 </li>
 <li>
 Experience with Conversational AI and chat/callbot improvement of at least 1 year, in the area of discovery, creation, train and improvements of new intents
 </li>
 <li>
 Business knowledge/awareness of virtual assistants. Experience in intent engineering/chatbot improvement is a strong plus
 </li>
 <li>
 Strong verbal and written communication skills in English and Turkish
 </li>
 <li>
 To take ownership on tasks assigned: you will be cultivating Analytics within the bank
 </li>
 <li>
 To be able to influence and convince not only peers but also the stakeholders based on analytical results
 </li>
 <li>
 To be capable to take decisions at tactical level and therefore build a trusted relationship with your squad members
 </li>
 <li>
 To be able to communicate and explain data driven methodology towards less analytics savvy colleagues
 </li>
 <li>
 To be analytical: extremely curious, constantly looking for an explanation; analyzing sharply, concise &amp; to the point
 </li>
 </ul>
 
 
 
 
 
 What We Offer at ING Hubs Turkiye
 
 
 
 
 
 
 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:
 
 
 
 
 
 
 Be Yourself, Be an ING'er
 
 
 <ul>
 <li>
 
 Welcome Leave:
 
 Enjoy 14 days of welcome leave, even in your first year! Don&rsquo;t postpone your dreams.
 </li>
 <li>
 
 Career Opportunities:
 
 We provide self-driven career paths where you can navigate your professional journey.
 </li>
 <li>
 
 Personal Growth:
 
 Engage in challenging work with endless opportunities to achieve your ambitions.
 </li>
 <li>
 
 Dynamic Environment:
 
 Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.
 </li>
 <li>
 
 Innovation Culture:
 
 Share your innovative ideas while exploring PACE methodology with us.
 </li>
 <li>
 
 Global Exposure:
 
 Participate in global projects and expand your career opportunities.
 </li>
 <li>
 
 Communication &amp; Celebrations:
 
 Enjoy various communication activities and celebrations that promote a friendly work environment.
 </li>
 <li>
 
 Health Care:
 
 Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.
 </li>
 <li>
 
 Private Pension Plan:
 
 Secure your future dreams with our private pension plan.
 </li>
 </ul>
 
 
 
 
 At ING Hubs Turkiye, your growth and happiness are our priorities. Join us and unlock your true potential in a fulfilling workplace!
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
</div>

Data Analyst (GenAI)

HubX

<div>
 
 At
 
 HubX
 
 we build mobile apps, used and loved by millions all around the world.
 
 
 We have a track record of building and growing mobile apps on various verticals that reached over 300 million users across 6 continents and 170+ countries.
 
 
 We are looking for a talented
 
 "SEO Content Specialist&rdquo;
 
 to join our energetic and highly motivated team.
 
 
 As a talented
 
 "SEO Content Specialist&rdquo;
 
 you have plenty of opportunities at your fingertips. So, why should HubX be your next move? We offer you an opportunity to make a huge impact in the lives of millions of users through our products, and even the mobile app industry at large in the next years to come.
 
 
 
 X Culture: Do What You Love
 
 
 
 At HubX, we pride ourselves on fostering an environment of collaboration, creativity, and innovation. Our
 
 #XCulture
 
 is more than just a workplace ethos; it's a lifestyle. We believe passion drives success. At HubX, Do What You Love isn&rsquo;t just a motto; it's the foundation of our work.
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 
 
 <ul>
 <li>
 
 Fluent English
 
 (written and spoken) - must be able to write naturally for an international audience.
 </li>
 <li>
 Min 2+ years of proven experience in
 
 SEO content writing
 
 and
 
 building high quality backlinks
 
 .
 </li>
 <li>
 Strong research, writing, and editing skills with attention to detail.
 </li>
 <li>
 Proficiency in SEO tools (Google Analytics, Search Console etc.).
 </li>
 <li>
 Ability to work independently, manage priorities, and hit growth goals.
 </li>
 <li>
 Experience with Framer or similar CMS is a plus.
 </li>
 </ul>
 
 
 
 
 
 Some Of Your Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Content Creation &amp; Optimization
 
 </li>
 <li>
 Write and publish SEO-optimized English content (blogs, landing pages, feature page content).
 </li>
 <li>
 Structure content to perform well on Google
 
 and
 
 AI assistants (clear answers, well-researched, fact-based).
 </li>
 <li>
 
 Backlink &amp; Publisher Relationships
 
 </li>
 <li>
 Build partnerships with publishers, blogs, and industry websites to secure high-quality backlinks.
 </li>
 <li>
 Pitch guest articles and collaborations to boost brand authority and organic reach.
 </li>
 <li>
 
 AI Search &amp; Organic Growth
 
 </li>
 <li>
 Optimize our content for visibility in search engines and generative AI platforms
 </li>
 <li>
 Stay on top of evolving trends in search and AI-driven content discovery.
 </li>
 <li>
 
 Analytics &amp; Performance
 
 </li>
 <li>
 Monitor SEO rankings, traffic, and backlink performance.
 </li>
 <li>
 Report on key metrics and recommend continuous improvements.
 </li>
 </ul>
 
 
 
 
 
 The perks and benefits of working with us
 
 
 
 We would like you to focus on what you do best, we take care of the rest.
 
 <ul>
 <li>
 
 Huge impact:
 
 Your work can significantly impact our millions of users, and even the mobile app industry at large in the next years to come.
 </li>
 <li>
 
 Ownership, opportunity to take responsibility from day one:
 
 No one will micromanage you. Together with your team, you&rsquo;ll be free to choose a direction, test, fail, and test the next idea.
 </li>
 <li>
 
 A competitive compensation package:
 
 A competitive compensation package: Our total compensation package is very comprehensive; covering your cost of commuting for our headquarters as well as providing you with a meal card.
 </li>
 <li>
 
 A brand new Macbook and welcome kit
 
 </li>
 <li>
 
 Private Medical Insurance &amp; HPV Vaccine &amp; Critical Women&rsquo;s Health Coverage:
 
 We go above and beyond for your health.
 </li>
 <li>
 
 Gym Reimbursement:
 
 We support annual gym membership because we want you to be in tip-top shape psychically and mentally.
 </li>
 <li>
 
 A unique and top-notch office:
 
 Our Istanbul office is located at Maslak, right in the heart of the city. Surrounded by the energy of Istanbul&rsquo;s bustling core, it&rsquo;s a space designed for creativity and collaboration.
 </li>
 <li>
 
 Unlimited coffee from XPresso:
 
 You can grab a cup of coffee whenever you need, whether it&rsquo;s to kickstart your morning or power through the day.
 </li>
 <li>
 
 Limitless Snacks &amp; breakfast:
 
 Fuel your day with our fully stocked kitchen! From a hearty breakfast to a variety of snacks available anytime, we&rsquo;ve got everything you need to stay energized and focused.
 </li>
 <li>
 
 Continuous education:
 
 The more you want to improve your knowledge, the more we support you!
 </li>
 <li>
 
 Meditopia membership:
 
 Enjoy full access to Meditopia for mental wellbeing, yoga, and therapy.
 </li>
 <li>
 
 Cambly access:
 
 Break language barriers with weekly Cambly speaking sessions.
 </li>
 <li>
 
 Team events
 
 that create lasting memories, including our traditional All Hands gatherings where the whole company comes together, as well as more humble celebrations and happy hours. Curious about our vibe? Take a look at our Instagram!
 </li>
 <li>
 
 Strong company culture:
 
 Our approach is always open communication &amp; teamwork. #XCulture
 </li>
 <li>
 
 X Community discounts:
 
 Being part of HubX comes with perks, enjoy exclusive discounts and more as a valued member of our community.
 </li>
 </ul>
 
 
 
 
 
 The Recruiting Process:
 
 
 
 
 
 
 At
 
 HubX
 
 , we value transparency and efficiency. Here&rsquo;s a glimpse into our streamlined recruitment process:
 
 
 
 
 <ol>
 <li>
 
 Application Submission:
 
 Apply by submitting your CV, LinkedIn profile, or a brief introduction about yourself.
 </li>
 <li>
 
 Talent &amp; Culture Interview:
 
 Engage in a conversation with our Talent &amp; Culture team to discuss your background, aspirations, and how we align with each other&rsquo;s goals.
 </li>
 <li>
 
 Case Study Assignment:
 
 Showcase your skills through a practical task related to the role.
 </li>
 <li>
 
 Technical Interview:
 
 Meet with your potential team lead for an in-depth review of your case study and technical expertise.
 </li>
 <li>
 
 Welcome Aboard!:
 
 If all goes well, we&rsquo;re excited to extend an offer and welcome you to the team.
 </li>
 </ol>
 
 
 
 
 
 Your personal data collected through your job applications will be processed by HubX in accordance with the Personal Data Protection Law No. 6698 ("KVKK") for the recruitment and evaluation. To review our data protection informing text:
 
 
 
 Link
 
 
 
 
 
 
 
 
 &Idot;&scedil; ba&scedil;vurular&inodot;n&inodot;z kapsam&inodot;nda toplanan ki&scedil;isel verileriniz HubX taraf&inodot;ndan i&scedil;e al&inodot;m ve de&gbreve;erlendirme amac&inodot;yla 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu'na ("KVKK") uygun olarak i&scedil;lenecektir. Ayd&inodot;nlatma metnimizi incelemek i&ccedil;in:
 
 
 
 Link
 
 
 
 
 
</div>

SEO Content Specialist

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273 ai specialist jobs IN Istanbul

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SEO Content Specialist