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Eczacıbaşı İlaç Pazarlama

<div>
 
 
 What do we offer you?
 
 
 
 
 
 <ul>
 <li>
 At Eczac&inodot;ba&scedil;&inodot;, you can steadily improve your personal, professional, and technical competencies by participating in
 
 training programs
 
 that support you and your career.
 </li>
 <li>
 You will have access to opportunities for
 
 rotation
 
 among more than 50 companies and
 
 global experience
 
 in over 120 international markets.
 </li>
 <li>
 
 Vacation time
 
 at Eczac&inodot;ba&scedil;&inodot; is calculated according to seniority based on your total work experience. Your bring your seniority with you.
 </li>
 <li>
 We will always recognize your success through different
 
 reward
 
 methods.
 </li>
 <li>
 You can take advantage of location-independent or hybrid work opportunities through
 
 different work models
 
 suitable to the nature of your job, and you can determine your own work schedule with
 
 flexible work hours
 
 . We offer technology and ergonomic support packages to Eczac&inodot;ba&scedil;&inodot; employees who work remotely full-time.
 </li>
 <li>
 As a new parent working at Eczac&inodot;ba&scedil;&inodot;, you are privileged. Eczac&inodot;ba&scedil;&inodot; employees who are mothers are provided with monthly
 
 nursery support
 
 ; Eczac&inodot;ba&scedil;&inodot; employees who are fathers are entitled to a
 
 3-week paternity leave
 
 .
 </li>
 <li>
 We are committed to ensuring
 
 equal opportunity
 
 of employment. We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or seniority.
 </li>
 </ul>
 
 
 
 
 
 #WeDoNotDifferentiateBetweenJobsForWomenAndMen
 
 
 
 
 
 
 
 What Do We Expect from Our New Team Member?
 
 
 <ul>
 <li>
 If you find it exciting to develop enterprise AI applications on Microsoft AI Foundry,
 </li>
 <li>
 If connecting data sources to Foundry and designing model and multimodal agent workflows motivates you,
 </li>
 <li>
 If creating innovative AI solutions that improve business processes using Prompt Flow and Copilot Studio sounds appealing to you,
 </li>
 <li>
 If you can continuously improve the performance, accuracy, security, and cost-efficiency of AI agents running in production,
 </li>
 <li>
 If you can manage critical operational steps such as model versioning, logging, monitoring, and AI governance in production environments,
 </li>
 <li>
 If you enjoy working closely with business units to understand their needs and translate them into technical solution designs,
 </li>
 <li>
 If developing POCs and prototypes, maturing them, and bringing them into production interests you&hellip;
 </li>
 </ul>
 
 
 Then you are exactly who we&rsquo;re looking for!
 
 
 
 
 
 
 
 What kind of teammate are we looking for?
 
 
 
 
 
 <ul>
 <li>
 If you graduated from Computer Engineering, Software Engineering, Industrial Engineering, Data Engineering, or a related field,
 </li>
 <li>
 If you have experience in Microsoft AI Foundry, Azure OpenAI, Prompt Flow, AI Orchestration, and Copilot Studio,
 </li>
 <li>
 If you have knowledge of plugin development within Copilot Studio and Microsoft Graph integrations,
 </li>
 <li>
 If you are proficient in Microsoft Fabric technologies (Data Engineering, Lakehouse, Semantic Models),
 </li>
 <li>
 If you have hands-on experience in API integration and backend development using Python,
 </li>
 <li>
 If you are familiar with modern AI methodologies such as LLMs, agentic AI, RAG, embeddings, and vector databases,
 </li>
 <li>
 If you can design integration architectures using Azure Functions, Logic Apps, and API Management,
 </li>
 <li>
 If you have IAM and secret management knowledge and basic cloud security awareness,
 </li>
 <li>
 If you have the technical expertise to architect AI orchestration, pipeline design, and multimodal agent system
 </li>
 </ul>
 
 We believe
 
 you should experience &ldquo;Career, Growth, Life, and the Future at Eczac&inodot;ba&scedil;&inodot;&rdquo;!
 
 
</div>

Data Analytics Specialist

ING Türkiye

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 If you think you have the following
 
 qualifications.
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in industrial engineering, computer engineering, MIS or other quantitative disciplines (Master&rsquo;s degree is a plus)
 </li>
 <li>
 +3 years of experience in data analytics, transformation, change execution, strategy or other relevant roles that require analytical capabilities
 </li>
 <li>
 Critical mindset to question the status-quo, curiosity to explore improvement areas, creativity and structured thinking ability to formulate insights into concrete action items
 </li>
 <li>
 Result-driven approach with a can-do mentality
 </li>
 <li>
 Skills in clearly communicating complex concepts &amp; ideas, and persuading relevant stakeholders at various levels of the organization
 </li>
 <li>
 Affinity and interest in tools and technologies for data analytics, business intelligence and data management (e.g. SQL, SAS, Cognos) is preferred
 </li>
 <li>
 Experience in Agile way of working is preferred
 </li>
 <li>
 Fluency in verbal and written English and Turkish
 </li>
 </ul>
 
 
 
 
 If you think you may take charge of the following
 
 responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Run, coordinate, monitor and facilitate the implementation of strategically important transformation initiatives in data analytics domain
 </li>
 <li>
 Act as an internal consultant in the realm of data analytics with the objective of identifying and formulating improvement opportunities
 </li>
 <li>
 Oversee project roadmap of Data Management Group through running periodic progress update sessions, quarterly business review (QBR) cycles, data strategy formulation process, and budget planning activities in coordination with local and global stakeholders
 </li>
 <li>
 Support enhancement of data fluency capabilities across organization through delivering pilot use-cases, training programs, publications, and other informative contents
 </li>
 <li>
 Continuously monitor and synthesize emerging trends, perspectives and best practices in the field of data analytics, and spread the valuable insights across the organization
 </li>
 <li>
 Lead events and activities of ING Turkey's Data and Analytics Community by liaising with internal (local and global) and external stakeholders
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Product Analytics Expert (Temporary Role)

KoçDigital

<div>
 
 Ko&ccedil;Digital combines the strengths of Ko&ccedil; Holding to support our clients on their most complex digital challenges. Our mission is to deliver sustainable impact, lead with breakthrough insights, and enable organizations through Advanced Analytics and Internet of Things (IoT) solutions, unlocking lasting and tangible benefits for our clients. At Ko&ccedil;Digital, you&rsquo;ll have the opportunity to work with clients across a range of industries, applying cutting-edge analytics to drive practical results and innovations.
 
 
 
 
 
 
 Role Profile
 
 
 
 We are seeking strong candidates with advanced analytics skills to start an exciting career at Ko&ccedil;Digital as part of our Data Science team. This role focuses on building models and conducting data analysis with advanced analytics techniques to provide actionable insights for critical business challenges. You will develop and deploy advanced time series and forecasting models to address key issues in manufacturing and energy, collaborating cross-functionally with domain experts to align solutions with real-world operational needs. As part of our team, you&rsquo;ll be essential to enabling data-driven decision-making and driving operational improvements for our clients.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Time Series &amp; Forecasting Model Development
 
 
 &bull; Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.
 
 
 &bull; Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.
 
 
 &bull; Optimization &amp; Predictive Analytics
 
 
 &bull; Design and implement optimization models using techniques such as linear programming, constraint programming, and evolutionary algorithms to enhance operational outcomes.
 
 
 &bull; Develop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.
 
 
 &bull; Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.
 
 
 &bull; Machine Learning Engineering &amp; Model Deployment
 
 
 &bull; Oversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.
 
 
 &bull; Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.
 
 
 &bull; Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &bull; Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.
 
 
 &bull; Communicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.
 
 
 
 
 
 
 Experience
 
 
 
 
 
 
 &bull; 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
 
 
 &bull; Ph.D. or Master&rsquo;s in Data Science, Statistics, Engineering, Computer Science, or a related field
 
 
 &bull; Proficiency in Python and SQL for data manipulation, analysis, and model development.
 
 
 &bull; Familiarity with database systems, data lakes, and warehousing solutions.
 
 
 &bull; Strong expertise in time series analysis and forecasting techniques (e.g., ARIMA, exponential smoothing, state space models, Prophet, LSTM, RNN-based models) and anomaly detection.
 
 
 &bull; Advanced understanding of optimization techniques (linear programming, constraint programming, stochastic optimization, and evolutionary algorithms) and their application in operational improvements.
 
 
 &bull; Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.
 
 
 &bull; Knowledge of cloud platforms (AWS, Azure, GCP), MLOps tools (MLflow, Kubeflow), and container orchestration (Docker, Kubernetes).
 
 
 &bull; Experience with data pipeline tools (Apache Airflow, Apache Kafka) and big data technologies (Spark, Hadoop) is a plus.
 
 
 &bull; Domain Knowledge
 
 
 &bull; Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.
 
 
 &bull; Knowledge of edge computing and IoT integration for smart factories is a plus.
 
 
 &bull; Analytical &amp; Business Acumen
 
 
 &bull; Strong understanding of business processes and the application of advanced analytics to solve industry-specific problems.
 
 
 &bull; Excellent verbal and written communication skills in English.
 
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 &bull;
 
 Impactful Work
 
 : Contribute directly to optimizing production, reducing waste, and improving efficiency in large-scale manufacturing and energy operations.
 
 
 &bull;
 
 Innovative Environment:
 
 Be part of a team that values innovation and adopts the latest data science and machine learning technologies.
 
 
 
 &bull; Professional Growth:
 
 Access to continuous learning and development opportunities, including industry conferences and technical workshops.
 
 
 
 
 
 
 What we offer:
 
 
 
 
 
 <ul>
 <li>
 Akademi Plus - Technical and Personal Development Trainings
 </li>
 <li>
 Ko&ccedil; Group and internal career opportunities/rotations
 </li>
 <li>
 On-campus sports center and Ko&ccedil; Community Sports Club opportunities
 </li>
 <li>
 Flextra - Flexible benefits package
 </li>
 <li>
 Social Support Payments
 </li>
 <li>
 Mobile phone and internet
 </li>
 <li>
 TokenFlex digital meal card
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 The privileged world of being a Ko&ccedil; member with Ko&ccedil; Ailem, Ko&ccedil; Akademi, and Ko&ccedil; Healthcare
 </li>
 </ul>
 
 
 
</div>

Senior Data Scientist (Manufacturing Focused)

<div>Bir işe başvurmadan &ouml;nce, bu sayfanın sağ &uuml;st k&ouml;şesinde bulunan se&ccedil;eneklerden dil tercihinizi se&ccedil;in.
Bir Fortune Global 500 şirketinde bir sonraki fırsatınızı keşfedin. Yenilik&ccedil;i olanaklar hayal edin, tatmin edici iş k&uuml;lt&uuml;r&uuml;m&uuml;z&uuml; deneyimleyin ve her ge&ccedil;en g&uuml;n daha iyi olmanıza yardımcı olacak yetenekli ekiplerimizle &ccedil;alışın. UPS'i yarınlara taşımak i&ccedil;in ne gerektiğini biliyoruz - benzersiz bir beceri + hırs kombinasyonuna sahip insanlar. Kendinizi veya ekiplerimizi y&ouml;netmek i&ccedil;in gerekli niteliklere ve motivasyona sahipseniz, becerilerinizi kullanmaya ve sizi bir sonraki seviyeye taşımaya hazır rollerimiz var.
İş A&ccedil;ıklaması:
QUALIFICATIONS<ul><li>
Bachelor&rsquo;s Degree, preferably Industrial Engineering,</li><li>
Excellent command of English, comfortable with giving presentations in English,</li><li>
Skilled command of MS-Office tools(Especially Access &amp; Excel),</li><li>
Knowledge of SQL commands/language,</li><li>
Self-driven in following his/her responsibilities,</li><li>
Self-motivated, ready to take initiative, open for development,</li><li>
Team worker and strong in interpersonal relationships,</li><li>
Can adapt to dynamic work environment,</li><li>
Has a clear vision of career goals,</li></ul>
JOB SUMMARY 
 
The Data Reporting and Metrics Specialist is responsible for providing operational data for Global Freight Forwarding. He/ She generates queries to obtain data for internal customer requests and analyzes data to ensure the information is accurate and meets customer needs. 
RESPONSIBILITIES<ul><li>
Generates Reports
<ul><li>Utilizes advanced data retrieval methods (e.g., SQL, macros, etc.) to create and run queries efficiently.</li><li>
Generates operational reports for senior management to help identify service failures and to support operational planning decisions.</li><li>
Analyzes and formats data deliverables (e.g., reports, spreadsheets, etc.) to provide users with meaningful and interpretable information.</li></ul></li><li>
Conducts Research and Analyzes Data
<ul><li>Researches and identifies operational data to ensure stakeholders (e.g., senior management, etc.) are informed.</li><li>
Analyzes and manipulates data to answer business questions and to respond to data requests.</li><li>
Identifies appropriate information to share with stakeholders to ensure clarity, focus, and efficiency of data.</li></ul></li></ul> 
&Ccedil;alışan T&uuml;r&uuml;: 
Kalıcı 
UPS; ayrımcılığın, tacizin ve misillemenin olmadığı bir iş yeri sağlamayı taahh&uuml;t eder.</div>

Data Reporting and Metrics Specialist

PlusMinusOne

<div>
 
 PlusMinusOne is a&nbsp;
 
 mobile startup studio
 
 &nbsp;that focuses on developing and marketing its own apps that are used and loved by millions of people around the world. Our products collectively reach&nbsp;
 
 more than a half-million&nbsp;new users every month in the US market alone.
 
 &nbsp;Our team works in hybrid model with&nbsp;offices in&nbsp;San Francisco, Istanbul and Ankara.
 
 
 
 
 
 We have been building mobile products focused on Business, Photo &amp; Video, and Education categories in the App Store mainly for the US market since 2016. And in each of these categories,
 
 our goal is the same:&nbsp;provide actual value to people with the best mobile user experience.
 
 
 
 
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help build our predictive analytics infrastructure from the ground up and drive user growth through data.
 
 
 
 
 
 
 
 What we are looking for:
 
 
 <ul>
 <li>
 Degree in STEM or equivalent practical experience
 </li>
 <li>
 2+ years of work experience as a
 
 full-stack
 
 data scientist or analyst covering problem identification, raw data ingestion &amp; pipelining, predictive analytics, reporting &amp; communicating the insights
 </li>
 <li>
 Advanced proficiency in Python/PySpark, SQL, and Git
 </li>
 <li>
 Solid understanding of time series forecasting and classification models
 </li>
 <li>
 Experience with orchestration and BI tools
 </li>
 <li>
 User acquisition analytics, campaign optimization, and A/B testing experience (strong plus)
 </li>
 <li>
 Hands-on experience deploying ML models in production environments (strong plus)
 </li>
 <li>
 Experience with big data frameworks, Airflow, Tableau, Linux, or any data warehouse (strong plus)
 </li>
 <li>
 Background in mobile app or consumer product analytics (strong plus)
 </li>
 <li>
 Appreciation of team spirit
 </li>
 <li>
 Bias for action and ownership mentality
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Your responsibilities will be:
 
 
 <ul>
 <li>
 Design, implement and manage scalable data pipelines by writing production-grade code and by using modern cloud technologies
 </li>
 <li>
 Lead LTV (Lifetime Value) prediction initiatives to optimize user acquisition strategies
 </li>
 <li>
 Build and maintain dashboards and self-serve analytics tools to help unlock the potential of data
 </li>
 <li>
 Collaborate with product and engineering teams to translate analytical insights into actionable features
 </li>
 <li>
 Analyze UA campaigns and implement LTV/MMM models to evaluate and optimize UA campaign performance
 </li>
 <li>
 Launch A/B tests at scale and provide actionable insights to relevant teams
 </li>
 <li>
 Leverage event data to perform funnel analysis, identify conversion bottlenecks, and increase user retention
 </li>
 </ul>
 
 &nbsp;
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Opportunity to make an impact on millions of global users' life and the future of mobile
 </li>
 <li>
 Chance to be a part of a passionate and driven team where everyone&rsquo;s ideas are valued
 </li>
 <li>
 Working in an environment with a Silicon Valley startup culture and benefits
 </li>
 <li>
 A hybrid work environment with 3 days a week at the Kabata&scedil; Istanbul office
 </li>
 <li>
 14 days of paid vacation that starts from the first year of joining the team
 </li>
 <li>
 Quarterly profit sharing based on performance
 </li>
 <li>
 Ability to own a stock option after the first year
 </li>
 <li>
 Private health insurance package
 </li>
 <li>
 Reimbursement package for any education, course, etc.
 </li>
 <li>
 Reimbursement package for your sports activities
 </li>
 <li>
 A Macbook, iPhone, magic mouse, magic keyboard, and any other hardware that you need to deliver your best work.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Let's shape the future of mobile together!
 
 
</div>

Data Scientist

<div><div><div><div><ul><li>REQ-10106963</li>
<li>19/12/2025</li>
<li>Data Analysis</li>
<li>Istanbul, Turkije</li>
<li><div>ING Hubs</div></li></ul><div> 
</div></div></div></div><div><div><div><div><div>About ING Hubs
Following ING&rsquo;s strategic ambition to deliver a superior eperience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated epertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 , , , ℎ ℎ , ℎ 11,000 ℎ , , - .
ING Hubs Turkiye core capabilities, , have us looking for data eperts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an eisting 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 fleibility 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 Ecellences 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, U, as well as eternal partnerships.
You will be responsible for:
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 e<ul><li>perience by applying the latest Analytics interaction techniques in the domain of dialogue systems and natural language processing.</li>
Your day-to-day job will consist of the eploitation / 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 e<li>perience.</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:
Identify, analyze, and interpret trends or patterns in comple data sets (both structured and unstructured te<ul><li>tual 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>
Work closely together with a team of eperts organized in a self-steering team, e<li>ercising 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>
2-5 years of e<li>perience within data reporting &amp; statistics</li><li>
Strong knowledge of SQL</li>
An interest or e<li>perience in these tools: Python, Looker or Cognos</li>
E<li>perience of doing it with Google DialogFlow (nice to have)</li>
E<li>perience 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>
Business knowledge/awareness of virtual assistants. E<li>perience 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>
To be able to communicate and e<li>plain data driven methodology towards less analytics savvy colleagues</li>
To be analytical: etremely curious, constantly looking for an e<li>planation; 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 eperience is rewarding. Here&rsquo;s what you can epect 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 eploring PACE methodology with us.</li><li>
Global Eposure:Participate in global projects and epand 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!<div>
If you want to do your thing and eplore the life while working don&rsquo;t miss this opportunity!</div></div></div><div><ul><div> 
</div><div></div><div>
</div></ul></div></div><div><div><div><div><div>Your place of work</div>
<div><div>Eplore the area</div>
</div></div></div><div>Questions? Just ask 
ING Recruitment team<div> 
</div></div></div></div></div></div><div><div><div><div>Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.</div></div></div></div></div>

Data Analyst (GenAI)

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>

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