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Siemens

<div><div><div><div><div><div>Job ID
</div><div>490024
</div></div><div><div>Posted since
</div><div>26-Dec-2025
</div></div><div><div>Organization
</div><div>Digital Industries
</div></div><div><div>Field of work
</div><div>Internal Services
</div></div><div><div>Company
</div><div>Siemens Sanayi ve Ticaret Anonim Sirketi
</div></div><div><div>Experience level
</div><div>Student (Not Yet Graduated)
</div></div><div><div>Job type
</div><div>Part-time
</div></div><div><div>Work mode
</div><div>Hybrid (Remote/Office)
</div></div><div><div>Employment type
</div><div>Fixed Term
</div></div><div><div>Location(s)
</div><div><ul><li>Istanbul - Istanbul - Tuerkiye
</li></ul></div></div></div></div></div><div><div><div><div><div>We are looking for a Part-time Working Student (Data Scientist) to join our Retrofit and Digitalization Project Team. The position will be based in Kartal and requires flexibility to travel to various locations across Turkey when needed. The successful candidate will support the execution and development of digitalization projects and will contribute to the enhancement of software solutions related to IoT, AI, and machine learning technologies. 
What are my responsibilities?<ul>
<li>Understand the customer needs and take necessary actions to create appropriate solutions</li>
<li>Carry out small or medium sized digitalization projects and do the commissioning of projects on site</li>
<li>Supply creative feedback to increase the quality-of-service operations and processes</li>
<li>Providing know-how and sharing with other colleagues</li>
<li>Supporting functions of the different automation and AI projects</li>
<li>Planning, reporting and improvement activities</li>
<li>Planning, organization and execution of start-up of operations</li>
<li>Supporting operational project teams</li>
<li>Software design, implementation, debugging, unit tests, module tests, test automation, and involving in release tasks for industrial automation projects</li>
</ul>What do I need to qualify for this job?<ul><li>
3rd-year undergraduate or master&rsquo;s student in Computer Engineering, Mathematics, Electrical &amp; Electronics Engineering, Mechatronics, Automation &amp; Control Engineering, or related field</li><li>
Good command of English, both written and spoken</li><li>
Availability to work at least 3 days per week
</li><li>Strong interest in Industrial AI, IoT, and digitalization technologies, with a willingness to learn and grow in this area</li><li>
Strong analytical thinking skills with a problem-solving mindset</li><li>
Ability to communicate analytical and technical outputs in a clear way and translate them into business needs</li><li>
Disciplined approach to documentation and reporting</li><li>
Basic experience in data analysis and modeling with Python (NumPy, Pandas, Scikit-learn)</li><li>
Fundamental knowledge of statistics and probability (e.g., distributions, correlation, regression, hypothesis testing)</li><li>
Basic experience in data querying, preparation, and data cleaning</li><li>
Hands-on exposure to at least one machine learning use case (regression, classification, or anomaly detection), including feature engineering and model evaluation</li><li>
Interest in Anomaly Detection, Forecasting, or Predictive Maintenance use cases</li>
Openness to learning and applying end-to-end ML workflows (train validate iterate<li> improve)</li></ul>
Additional Qualifications:<ul><li>
Beginner-level exposure to TensorFlow or PyTorch</li><li>
Interest in industrial, operational, sensor, or production data analytics</li></ul>
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.
As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from 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 your ability as we will use the data to review your suitability for the role.
Please find more information from our web site:
https://new.siemens.com/tr/tr.html 
#LI-HYBRID</div></div></div></div></div></div>

Part Time Working Student (Data Scientist)

<div>
 We are looking for a
 
 Part-time Working Student (Data Scientist)
 
 to join our Retrofit and Digitalization Project Team. The position will be based in Kartal and requires flexibility to travel to various locations across Turkey when needed. The successful candidate will support the execution and development of digitalization projects and will contribute to the enhancement of software solutions related to IoT, AI, and machine learning technologies.
 
 
 
 What are my responsibilities?
 
 
 
 <ul>
 <li>
 Understand the customer needs and take necessary actions to create appropriate solutions
 </li>
 <li>
 Carry out small or medium sized digitalization projects and do the commissioning of projects on site
 </li>
 <li>
 Supply creative feedback to increase the quality-of-service operations and processes
 </li>
 <li>
 Providing know-how and sharing with other colleagues
 </li>
 <li>
 Supporting functions of the different automation and AI projects
 </li>
 <li>
 Planning, reporting and improvement activities
 </li>
 <li>
 Planning, organization and execution of start-up of operations
 </li>
 <li>
 Supporting operational project teams
 </li>
 <li>
 Software design, implementation, debugging, unit tests, module tests, test automation, and involving in release tasks for industrial automation projects
 
 
 </li>
 </ul>
 
 What do I need to qualify for this job?
 
 
 
 <ul>
 <li>
 3rd-year undergraduate or master&rsquo;s student in Computer Engineering, Mathematics, Electrical &amp; Electronics Engineering, Mechatronics, Automation &amp; Control Engineering, or related field
 </li>
 <li>
 Good command of English, both written and spoken
 </li>
 <li>
 Availability to work at least 3 days per week
 </li>
 <li>
 Strong interest in Industrial AI, IoT, and digitalization technologies, with a willingness to learn and grow in this area
 </li>
 <li>
 Strong analytical thinking skills with a problem-solving mindset
 </li>
 <li>
 Ability to communicate analytical and technical outputs in a clear way and translate them into business needs
 </li>
 <li>
 Disciplined approach to documentation and reporting
 </li>
 <li>
 Basic experience in data analysis and modeling with Python (NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Fundamental knowledge of statistics and probability (e.g., distributions, correlation, regression, hypothesis testing)
 </li>
 <li>
 Basic experience in data querying, preparation, and data cleaning
 </li>
 <li>
 Hands-on exposure to at least one machine learning use case (regression, classification, or anomaly detection), including feature engineering and model evaluation
 </li>
 <li>
 Interest in Anomaly Detection, Forecasting, or Predictive Maintenance use cases
 </li>
 <li>
 Openness to learning and applying end-to-end ML workflows (train &rarr; validate &rarr; iterate &rarr; improve)
 
 
 </li>
 </ul>
 
 Additional Qualifications:
 
 
 
 <ul>
 <li>
 Beginner-level exposure to TensorFlow or PyTorch
 </li>
 <li>
 Interest in industrial, operational, sensor, or production data analytics
 
 
 </li>
 </ul>
 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.
 
 
 As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from 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 your ability as we will use the data to review your suitability for the role.
 
 
 Please find more information from our web site:
 
 
 https://new.siemens.com/tr/tr.html
 
 
</div>

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

Bilyoner

<div>
 
 We are looking for a Senior Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
 
 
 
 
 <ul>
 <li>
 Min. 3 year of relevant experience,
 </li>
 <li>
 PhD, MS or Bachelors degree in Computer Science, Statistics or other quantitative field,
 </li>
 <li>
 Experience in building Algorithms from scratch and take it to production in a scalable way,
 </li>
 <li>
 Extensive practical hands-on experience in exploratory data analysis,
 </li>
 <li>
 The clear understanding of modern machine learning and statistical analysis methods,
 </li>
 <li>
 Proven experience at SQL and programming language Python,
 </li>
 <li>
 Interpret data, analyze results using statistical techniques and develop interactive dashboards, reports etc.,
 </li>
 <li>
 Provide technical expertise on data storage structures, data mining, data cleansing and data visualization.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ayd&inodot;nlatma Metni
 
 
 
 
 https://bilyoneradmins-my.sharepoint.com/:w:/g/personal/apply_bilyoner_com/EVkBNXP6V3FJss0cuCBoqIkB7OoIg1U1M4WtwWRvpenQfQ?e=EbB2ks
 
 
 
 
</div>

Senior Data Scientist

Turknet

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at Turknet
 
 
 
 We&rsquo;re looking for an experienced Data Scientist to join our game-changing team.
 
 
 
 
 
 
 📱 What You'll Do
 
 
 <ul>
 <li>
 Understand business objectives and data requirements, and transform them into valuable insights and analytical solutions.
 </li>
 <li>
 Manage data analysis processes and prepare datasets for analysis.
 </li>
 <li>
 Process large datasets using big data technologies.
 </li>
 <li>
 Develop predictive models, classifications, and clustering solutions using machine learning algorithms.
 </li>
 <li>
 Present and communicate data results effectively with visualizations.
 </li>
 </ul>
 
 
 
 
 
 👩 👨 Who You Are
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Computer Engineering, Statistics, Mathematics, or a similar quantitative discipline.
 </li>
 <li>
 Extensive experience with SQL. Proficiency in Python and related data analysis, data manipulation, and modeling libraries (Pandas, NumPy, Scikit-learn, etc.).
 </li>
 <li>
 Strong understanding of the Data Science model development lifecycle (data understanding, data cleaning, feature engineering, model training, evaluation, and monitoring).
 </li>
 <li>
 Hands-on experience with machine learning models, statistical methods, and optimization algorithms for real-world problems.
 </li>
 <li>
 Experience with big data technologies is a plus.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Data Scientist, so you should have 3+ years of experience in a Data Science role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 
 
 
 🚀Our Recruitment Process
 
 
 
 We are guided by our goal of creating an equitable and inclusive experience where candidates from a wide range of backgrounds have the opportunity to succeed. We do not imagine a complicated recruitment process. That's why we care about the process being short, fast and transparent.
 
 
 1.Application: You can apply for open positions via Linkedin.
 
 
 2.First Interview: First of all, we want to evaluate your skills and see if they are compatible with TurkNet values.
 
 
 3.Case study: For some positions we may need to test technical skill.
 
 
 4.Second Interview: We would like to examine your technical skills in depth with our leader(s).
 
 
 5.Welcome to TurkNet!
 
 
 
</div>

<div>
 
 
 🚀 Who we are &amp; What we believe?
 
 
 
 
 
 
 We believe the internet is the great equalizer and enabler. It provides essentially unlimited access to knowledge, education, entertainment, services and commerce. And it&rsquo;s an incredible tool to publish, create, share and communicate.
 
 
 We think everyone deserves first-rate internet, and we have gone about creating an internet service that we ourselves want to use.
 
 
 We believe in the power of curiosity, creativity and imagination. We use technology to realize our creations, to simplify and to enable. In addition, we add in hard work, sheer sweat and will power where that is not quite enough. If the idea is right, &ldquo;that can&rsquo;t be done&rdquo;, or &ldquo;that&rsquo;s not how things are done&rdquo; will not stop us.
 
 
 Offering the best customer experience is dear to our hearts. Our industry is not very good at this, and we have lots of room to improve. We want to be the best and are looking for a leader that shares our passion.
 
 
 If that&rsquo;s you, we&rsquo;d love to meet and get to know you. Let&rsquo;s talk about how we can work together to make it happen!
 
 
 
 
 
 
 🍕 Data Analytics &amp; Science Team at Turknet
 
 
 
 We&rsquo;re looking for an experienced Senior Data Scientist to join our game-changing team.
 
 
 
 
 
 
 📱 What You'll Do
 
 
 <ul>
 <li>
 Understand business objectives and data requirements, and transform them into valuable insights and analytical solutions.
 </li>
 <li>
 Manage data analysis processes and prepare datasets for analysis.
 </li>
 <li>
 Process large datasets using big data technologies.
 </li>
 <li>
 Develop predictive models, classifications, and clustering solutions using machine learning algorithms.
 </li>
 <li>
 Present and communicate data results effectively with visualizations.
 </li>
 </ul>
 
 
 
 
 
 👩 👨 Who You Are
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Computer Engineering, Statistics, Mathematics, or a similar quantitative discipline.
 </li>
 <li>
 Extensive experience with SQL. Proficiency in Python and related data analysis, data manipulation, and modeling libraries (Pandas, NumPy, Scikit-learn, etc.).
 </li>
 <li>
 Strong understanding of the Data Science model development lifecycle (data understanding, data cleaning, feature engineering, model training, evaluation, and monitoring).
 </li>
 <li>
 Hands-on experience with machine learning models, statistical methods, and optimization algorithms for real-world problems.
 </li>
 <li>
 Experience with MLOps technologies is a plus.
 </li>
 </ul>
 
 
 
 
 
 ✅ Must-Haves
 
 
 
 We are looking for a Senior Data Scientist, so you should have 5+ years of experience in a Data Science role.
 
 
 
 
 
 
 🚀 What We Offer?
 
 
 
 Be part of a team that is changing all the rules of the game and creating an original business model and infratsrurcture in our generation&rsquo;s most important technological development: the internet,
 
 
 We are not afraid to question existing ways of doing things, and value creativity and freedom all as we move with the blistering speed of technological change,
 
 
 Empowerment, mastery and learning. Join a company where you are entrusted with significant responsibility, where you will be part of our team forging a new path, discovering new ways of achieving things. Continuous learning opportunities to develop your mastery,
 
 
 Be yourself, join a team of unique hard working and fun loving team mates who believe in haring and are always up for fun and taking a break together as well.
 
 
 
 
 
 
 🚀Our Recruitment Process
 
 
 
 We are guided by our goal of creating an equitable and inclusive experience where candidates from a wide range of backgrounds have the opportunity to succeed. We do not imagine a complicated recruitment process. That's why we care about the process being short, fast and transparent.
 
 
 1.Application: You can apply for open positions via Linkedin.
 
 
 2.First Interview: First of all, we want to evaluate your skills and see if they are compatible with Turknet values.
 
 
 3.Case study: For some positions we may need to test technical skill.
 
 
 4.Second Interview: We would like to examine your technical skills in depth with our leader(s).
 
 
 5.Welcome to Turknet!
 
</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
 
 
 
 
 
 
 About ING
 
 
 
 Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make a difference by using the latest Analytics techniques to generate data-driven approaches and conversational products and solve real business challenges, please read on.
 
 
 
 
 
 
 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 and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 COO Analytics- Customer Due Diligence
 
 
 
 You will be part of the COO Analytics Tribe, which delivers generative AI , AI and advanced analytics capabilities to all ING countries.
 
 
 Specifically, you will help creating innovative-scalable-data driven solutions in the space of Customer Due Diligence. You proactively work with teams to implement these solutions across the organization. You will work collaboratively with an extended group of stakeholders, including global and local KYC (Know Your Customer).
 
 
 Your mission will be to ensure the improvement of our products with a team and supporting all ING countries in reaching their targets by providing smart advanced analytics solutions, to strengthen ING leadership in digitalization &amp; support our 40 million customers.
 
 
 We work in a fun and creative environment, and we&rsquo;re dedicated to bringing out the best in both our relations and our projects, ranging from enhancing our virtual assistants in production via innovative NLP techniques sush as Generative AI and Large Language Models, to building speech analytics use cases across all the countries ING operates in.
 
 
 
 
 
 
 The opportunity
 
 
 
 As a NLP/LLM Data Scientist, you will be joining the global ING Analytics organization and will partner with Machine Learning (ML) Engineers and Customer Journey Experts to design and implement leading-edge conversational AI products, such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM data scientist, you understand business needs, perform data preprocessing and analysis, and build machine learning models and/or design and implement NLP models using managed LLM services for speech and text data to improve our platform and ING&rsquo;s KYC agents&rsquo; efficiencies globally.
 
 
 
 
 
 
 A day in the life of an NLP Data Scientist
 
 
 
 
 
 
 After your morning coffee, you stand up with data engineers to understand the best scalable way to get models to run in production, leading the way in how to approach a modeling problem and to turn data into business value. You talk to the business to convince them that your solution has value and you incorporate their feedback into your modeling pipeline. After a lunch break with colleagues, you think of a new technology you&rsquo;d like to try out. You start investigating and write it up for the next experimentation day or demo. At the end of the afternoon, you finalize some comments other colleagues from the ING Analytics Community had on your latest blog post or start building your presentation for the next conference you will be presenting at. As a Data Scientist working for ING Global Analytics, you&rsquo;ll never get bored with many experienced and skilled colleagues around you, the freedom to innovate, and to not only use open source and cloud managed service tooling, but also contribute and teach about them.
 
 
 
 
 
 
 You Will Be Responsible For
 
 
 <ul>
 <li>
 Design and implementation of solutions using Generative AI and LLM technologies
 </li>
 <li>
 Developing production level NLP models
 </li>
 <li>
 Working with ML Engineers to productionize your developed NLP models
 </li>
 <li>
 Using the cutting-edge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI
 </li>
 <li>
 Following best practices in developing ML code and ML software tests
 </li>
 <li>
 Making design and technical decisions for (Gen)AI projects at ING Analytics. Supporting local teams in several countries and their projects. Participating in design, analysis, and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data.
 </li>
 <li>
 Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
 </li>
 <li>
 Contributing to strengthening the data analytics capability within the team.
 </li>
 </ul>
 
 
 
 
 
 About you
 
 
 <ul>
 <li>
 Always thinking a step ahead and never satisfied with the status quo
 </li>
 <li>
 Enthusiasm for helping others to be successful and a talent for taking it on and making it happen
 </li>
 <li>
 You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback
 </li>
 <li>
 You embrace challenges in a fast-changing and complex environment
 </li>
 <li>
 You are a naturally collaborative person who listens and invests in others to achieve common goals
 </li>
 <li>
 You have a Pro-active and can-do attitude (self-steering)
 </li>
 <li>
 You take pride in your code and take responsibility for keeping it running in production
 </li>
 <li>
 You combine both thinking of the future and a hands-on, right now attitude
 </li>
 <li>
 You enjoy working in a team, with highly skilled people, having a creative atmosphere where trying out new things is encouraged.
 </li>
 </ul>
 
 
 
 
 
 How to succeed
 
 
 <ul>
 <li>
 Degree in Computer Science, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.
 </li>
 <li>
 A minimum of 2 years experience in building Natural Language Processing or Information Retrieval pipelines and models
 </li>
 <li>
 Experience with operationalisation of LLMs or Generative AI applications
 </li>
 <li>
 You have an in-depth understanding of algorithms like Transformers, Recurrent Neural Networks, and Convolutional Neural Network
 </li>
 <li>
 Strong programming skills in Python, experience in delivering production grade code, and reasonable SQL understanding
 </li>
 <li>
 Can build an &ldquo;end-to-end ML software product&rdquo; which has NLP/IR component
 </li>
 <li>
 Experience with Deep Learning frameworks like Tensorflow and PyTorch
 </li>
 <li>
 You have excellent oral and written communication skills at the technical and business level
 </li>
 <li>
 Fluent in written and spoken English.
 </li>
 <li>
 Familiarity with Agile Scrum way of working
 </li>
 </ul>
 
 
 
 
 
 Nice To Have
 
 
 <ul>
 <li>
 Experience with Google Cloud Platform
 </li>
 <li>
 Experience with applying NLP on banking and/or KYC domains
 </li>
 <li>
 Knowledge of DevOps practices including Git and CI/CD
 </li>
 <li>
 Experience with CI/CD for Machine Learning pipeline (CD4ML).
 </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>
 
 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>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
</div>

Senior NLP Data Scientist

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