data scientist

business analyst

data analyst

senior data scientist

data specialist

actuarial data scientist pricing analyst

Sompo Sigorta

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

Actuarial Data Scientist / Pricing Analyst

Sabanci University

<div>
 
 We are looking for a Data Analyst and Scientist with the following qualifications to work in the Sabanc&inodot; University Digital Transformation Unit.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (preferably a Master&rsquo;s) in Statistics, Mathematics, Computer Science, or a related field,
 </li>
 <li>
 Proficiency in programming languages such as SQL, Python (pandas, scikit-learn, NumPy, matplotlib), and R,
 </li>
 <li>
 Experience with data visualization tools such as Tableau, Power BI, and Microsoft Fabric,
 </li>
 <li>
 Strong knowledge of statistical modeling and machine learning algorithms,
 </li>
 <li>
 Experience working with cloud data platforms (e.g., Google BigQuery, AWS Redshift, Microsoft Azure),
 </li>
 <li>
 Excellent analytical thinking and strong attention to detail,
 </li>
 <li>
 Preferably, hands-on experience with machine learning frameworks such as TensorFlow or PyTorch,
 </li>
 <li>
 Preferably, experience in Agent Projects,
 </li>
 <li>
 Strong English communication skills, both written and verbal,
 </li>
 <li>
 Experience or demonstrated interest in the education sector is an advantage,
 </li>
 </ul>
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 Analyze internal datasets and provide data-driven insights to support business needs,
 </li>
 <li>
 Design and develop dashboards and visual reports using tools such as Power BI, Fabric, or Tableau,
 </li>
 <li>
 Create statistical analyses and basic machine learning models including regression, classification, and clustering,
 </li>
 <li>
 Perform data analysis and modeling using Python or R,
 </li>
 <li>
 Monitor and improve the performance of developed models,
 </li>
 <li>
 Lead and coordinate Agent Projects,
 </li>
 <li>
 Collaborate closely with business units to support data-driven decision-making processes,
 </li>
 </ul>
 
 
 
 
 
 What we will offer you?
 
 
 <ul>
 <li>
 Working in Sabanc&inodot; University Campus with collaborative work environment and gym &amp; social areas,
 </li>
 <li>
 A competitive salary and a robust compensation package including, employer sponsored family included private health insurance, life insurance and private pension benefits,
 </li>
 <li>
 Hybrid working,
 </li>
 <li>
 Performance Reward policy,
 </li>
 <li>
 Transportation and university cafeteria,
 </li>
 <li>
 Meal allowance, communication and internet support for hybrid working days,
 </li>
 <li>
 Opportunity to study a master&rsquo;s degree at the university and Erasmus Staff Mobility Programme,
 </li>
 <li>
 English language course,
 </li>
 <li>
 On-campus healthcare, library,
 </li>
 <li>
 Several discounts including pre-school and SA Group company services,
 </li>
 <li>
 Social clubs and activities.
 </li>
 </ul>
 
 
 
 
 ''Sabanc&inodot; University is committed to the principle of equal opportunity and equal treatment in education and employment. The University respects all individuals without any discrimination of gender, religion, national and ethnic origin, race, color, physical disability, physical appearance, marital or parental status, sexual orientation, age, or political affiliation in the administration of its educational, admission and employment policies, and its scholarship and university-sponsored programs.''
 
</div>

Data Analyst and Scientist

Amaris Consulting

<div>
 
 Job Description
 
 
 
 We are looking for a
 
 skilled and impact-oriented Senior Data Scientist
 
 to join our advanced analytics team. In this role, you will take ownership of complex, end-to-end data science projects&mdash;from design and modeling to deployment and integration. You will play a key role in shaping our airline&rsquo;s digital retail transformation and revenue optimization strategy using the latest in machine learning, AI, and real-time analytics.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Leading end-to-end data science projects, including model design, development, deployment, and monitoring in production environments
 </li>
 <li>
 Collaborating with integration engineers to manage testing workflows and production rollouts
 </li>
 <li>
 Designing and implementing models for dynamic pricing and optimization (prior experience is a strong plus)
 </li>
 <li>
 Building ML models for dynamic bundling and product recommendation systems
 </li>
 <li>
 Contributing to revenue management initiatives as part of the Modern Airline Retailing transformation
 </li>
 <li>
 Participating in exploratory projects involving chatbots, generative media (visuals/videos), and Agentic AI, based on evolving business needs
 </li>
 <li>
 Analyzing existing datasets to develop decision support systems and advanced analytical models
 </li>
 <li>
 Performing application-level integrations when needed to support end-to-end solution delivery
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
 </li>
 <li>
 Minimum 4 years of industry experience in data science, machine learning, or applied AI roles
 </li>
 <li>
 Strong command of machine learning, predictive modeling, and optimization techniques
 </li>
 <li>
 Proficiency in Python and key data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience with production-grade model deployment and monitoring
 </li>
 <li>
 Familiarity with SQL, Airflow, and version control tools such as Git (BitBucket)
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (e.g., Kubernetes, ideally OpenShift)
 </li>
 <li>
 Strong collaboration and communication skills to work across data, engineering, and business teams
 
 
 
 </li>
 </ul>
 
 Ready to take off with us? Apply now and be part of the journey.
 
 
 
 
 Amaris Consulting is committed to promoting diversity within its workforce and to creating an inclusive work environment. We review applications from all qualified individuals regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or any other characteristic. Special consideration will be given to candidates with disabilities.
 
</div>

Data Scientist (Hybrid)

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 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 
 
 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 several 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.
 
 
 
 
 
 Roles and responsibilities
 
 
 
 As a Chapter Lead you have a dual role. You build a strong-identity team that apply their diverse skills and perspectives to achieve common goals, actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship, in this instance for Advanced Analytics. On the other hand, you are spending the majority of your time working together with your team as a contributor on the delivery as well. As a Chapter Lead you have the complete overview and insight on the capabilities, expertise and experience of your chapter members and you will be responsible to decide on allocation of your chapter members capacity for the global backlog delivery demand coming from the Product Lead and Tribe Lead.
 
 
 
 
 
 Role Profile
 
 
 
 As Chapter Lead Data Science, you report to the Tribe Lead Retail Banking Analytics.
 
 
 
 
 
 Your responsibilities include:
 
 
 <ul>
 <li>
 Together with the Tribe Lead and Product Lead develop a view on the future of the DS capability craftsmanship and drive continues development of your chapter members
 </li>
 <li>
 Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
 </li>
 <li>
 Together with the Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities
 </li>
 <li>
 Steer and develop your chapter members to meet both their career goals and the organisation&rsquo;s goals, driving engagement and results via inspiring leadership.
 </li>
 <li>
 Contribute to the success of the projects you are assigned to by doing hands-on data scientist work.
 </li>
 <li>
 Hands-on and multiple retail DS project management in lending, personalization and pricing domains
 </li>
 <li>
 Act as an expert on the craftmanship development needs for Data Science
 </li>
 <li>
 Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these
 </li>
 <li>
 Work with your colleagues on the (global) backlog deliveries
 </li>
 <li>
 Attract and retain the best talents, leading interviews when needed for your chapter
 </li>
 </ul>
 
 
 
 
 How to succeed
 
 
 
 
 
 
 Education:
 
 Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Management experience in an Agile organization. Management experience in a matrix set up is a plus.
 </li>
 <li>
 Strong analytic skills.
 </li>
 <li>
 Experience as a data scientist in retail domain.
 </li>
 <li>
 Experience/ knowledge of the business of the Tribe you work in.
 </li>
 </ul>
 
 
 Competencies:
 
 
 <ul>
 <li>
 A proven track record in analytics, backlog management and resource planning
 </li>
 <li>
 Ability to lead teams of experts working in a highly complex and dynamic environment promoting awareness in others
 </li>
 <li>
 Achieve optimum results by empowering teams
 </li>
 <li>
 Passionate about developing teams to achieve craftmanship and personal development.
 </li>
 <li>
 A mindset that focusses on continuous improvement.
 </li>
 <li>
 Excellent level of python and spark
 </li>
 <li>
 Excellent level of English
 </li>
 <li>
 Agile/Scrum experience
 </li>
 </ul>
 
 
 
 
 What do we offer:
 
 
 
 At ING Hubs Turkiye we want your work to fulfill you in every way, and that is why we take care of even the smallest detail. Check out what is waiting for you;
 
 
 At our organization, you first be yourself, then you are ING&rsquo;er, therefore;
 
 
 &middot; 14 days of welcome leave days even in your first year! Don&rsquo;t postpone your dreams!
 
 
 &middot; We provide self-driven career opportunities where you have never
 
 
 &middot; Personal growth &amp; challenging work with endless opportunities to realize your ambitions
 
 
 &middot; An informal, dynamic environment with innovative colleagues supporting your endeavors
 
 
 &middot; Take a part in global projects and/or career opportunities
 
 
 &middot; Have fun with various communication activities &amp; celebrations
 
 
 &middot; We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)
 
 
 &middot; Private Pension plan for your future dreams
 
</div>

Chapter Lead Data Scientist

Dream Games

<div>
 
 We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
 </li>
 <li>
 Monitoring the integrity and validity of the reported data
 </li>
 <li>
 Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience in prediction, modeling, and forecasting
 </li>
 <li>
 Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
 </li>
 <li>
 Advanced SQL skills
 </li>
 <li>
 High proficiency in Python or R
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Appreciation and understanding of teamwork
 </li>
 </ul>
</div>

Data Scientist

<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

Bilyoner

<div>
 
 We are looking for a Data Scientist to build the future of Bilyoner as a part of our highly motivated team. We look for the following skills:
 
 
 
 
 <ul>
 <li>
 Max. 4 year of relevant experience,
 </li>
 <li>
 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>

Explore 564+ Actuarial data scientist pricing analyst in Istanbul this September. Find roles across top companies and apply now to boost your career.

564 actuarial data scientist pricing analyst jobs IN Istanbul

Actuarial Data Scientist / Pricing Analyst

Data Analyst and Scientist

Data Scientist (Hybrid)

Chapter Lead Data Scientist

Data Scientist

Senior NLP Data Scientist

Data Scientist