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customer experience data scientist - p&c retail insurance member Jobs in Istanbul

customer experience data scientist - p&c retail insurance member

data engineer

customer experience data scientist p c retail insurance member

Allianz

<div>
 
 How can you make an impact?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Mathematics, Statistics, or related fields
 </li>
 <li>
 Minimum 2 years of experience in Customer Data Analytics, Business Intelligence, Reporting, Data Modeling, and ETL solutions/projects
 </li>
 <li>
 Proficient in relational database concepts and languages such as SQL, TSQL, PL/SQL
 </li>
 <li>
 Experience or knowledge in Big Data and Open Source technologies is a plus
 </li>
 <li>
 Strong analytical mindset with the ability to tackle ambiguous problems, identify relevant data, make assumptions, and deliver actionable insights
 </li>
 <li>
 Skilled in defining KPI strategies, growth opportunities, time series analysis, and data visualization
 </li>
 <li>
 Experience with persona analysis and customer journey mapping methodologies
 </li>
 <li>
 Proficient in at least one data modeling or analytics tool such as SAS, KNIME,PBI, Python, or R
 </li>
 <li>
 Solid command of Microsoft Office applications
 </li>
 <li>
 Excellent verbal and written communication skills, able to present data-driven information clearly and professionally
 </li>
 <li>
 Proven ability to collaborate effectively with cross-functional teams and stakeholders
 </li>
 <li>
 Self-motivated, proactive, with a creative and problem-solving approach, open to innovation and continuous learning
 </li>
 <li>
 Fluent in English
 
 
 </li>
 </ul>
 
 What do we expect you to bring?
 
 
 
 <ul>
 <li>
 Act as an Analytics Translator by converting complex data into actionable insights accessible to all stakeholders
 </li>
 <li>
 Collaborate with cross-functional teams to define success metrics, track and quantify data, and develop a shared understanding of KPIs
 </li>
 <li>
 Provide ad-hoc analysis and build automated dashboards to offer clear visibility into business performance
 </li>
 <li>
 Develop deep analytical insights into the drivers of product growth and identify areas for improvement
 </li>
 <li>
 Lead the design, implementation, and optimization of loyalty programs, analyzing user behavior through customer segmentation, RFM, and cohort analyses
 </li>
 <li>
 Monitor loyalty campaign performance, design A/B tests, and generate valuable insights for continuous improvement
 </li>
 <li>
 Prepare regular dashboards and reports using data visualization tools for various business units
 </li>
 <li>
 Build predictive models such as churn analysis, CLV estimation, and user lifecycle forecasting
 </li>
 <li>
 Partner closely with CX and Marketing teams to create personalized, data-driven campaigns
 </li>
 <li>
 Aggregate data from multiple sources to create comprehensive dashboards and presentations
 </li>
 <li>
 Use customer insights and analytics to propose and implement strategic improvements
 </li>
 <li>
 Analyze customer feedback, identify key trends and outliers, and derive actionable insights to enhance customer experience
 </li>
 <li>
 Recommend data-driven changes to support strategic decision making and business growth
 </li>
 <li>
 Stay updated on the latest technology trends and contribute to AI projects using Python and R
 </li>
 <li>
 Support the development of communication strategies focused on acquiring new customers and retaining existing ones
 </li>
 <li>
 Conduct market and sales forecasting studies and prepare detailed forecast analyses
 
 
 </li>
 </ul>
 
 What we will offer you?
 
 
 
 
 Company
 
 
 
 <ul>
 <li>
 Working in Green certificated &amp; pet friendly Allianz Tower / Allianz Kamp&uuml;s with modern work spaces, gym &amp; social areas.
 </li>
 <li>
 Working in agile, flexible, digital and social culture
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 Working 40 hours a week
 </li>
 <li>
 Hybrid working
 </li>
 <li>
 Flex summer (July &ndash; August)
 </li>
 <li>
 Part time working
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Yearly bonus
 </li>
 <li>
 Home expense payment
 </li>
 <li>
 Home office payment (monthly)
 </li>
 <li>
 Transportation
 </li>
 <li>
 Life insurance
 </li>
 <li>
 Employer sponsored pension &amp; Family included health insurance
 </li>
 <li>
 Special Allowances (Marriage, newborn etc.)
 </li>
 <li>
 Meal Allowance (Card/monthly)
 
 
 </li>
 </ul>
 
 Leave Rights
 
 
 
 <ul>
 <li>
 School Report Day (Half Day) &amp; First Day of school (Half Day)
 </li>
 <li>
 Allianz day off
 </li>
 <li>
 Birthday day off
 </li>
 <li>
 Paternity Leave &ndash; 10 days
 </li>
 <li>
 Marriage Leave &ndash; 5 days
 </li>
 <li>
 After 4 years of work, having extra one day annual leave each year (up to 26 days)
 
 
 </li>
 </ul>
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Join us.
 
 Let's care for tomorrow.
 
 
 
 And there is much more!
 
 
 
 Do the items above define you? Do you believe you can passionately and successfully carry out the tasks involved in the job description, that is the perfect match for you? Then, come and apply for the
 
 &ldquo;Customer Experience Data Scientist - P&amp;C Retail Insurance Member&rdquo;
 
 position.
 
 
 While you await news from us, we would like to share a playlist with you to help you enjoy your time.
 
 
 https://open.spotify.com/playlist/1Zx2if289cAz4WClmUvsL5?si=b48f678f66424584
</div>

Customer Experience Data Scientist - P&C Retail Insurance Member

<div>
 
 "Would you like to take your place in Allianz, which is the choice of those who care for tomorrow?&rdquo;
 
 
 
 
 
 The Allianz Group is one of the world's leading insurers and asset managers with more than 100 million private and corporate customers in more than 70 countries. We are proud to be the Worldwide Insurance Partner of the Olympic &amp; Paralympic Movements from 2021 until 2028 and to be recognized as one of the industry leaders in the Dow Jones Sustainability Index.
 
 
 Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. Join us and together, let&rsquo;s care for tomorrow.
 
 
 
 
 
 We believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. To fulfill our commitment to equal opportunities, gender equity, and balanced gender representation, Allianz T&uuml;rkiye has achieved the globally recognized EDGE certification.
 
 
 
 
 
 At Allianz Turkey we proud to be recognized as a &ldquo;Great Place To Work&rdquo; and chosen as a top company of business world at 8 times by Capital Magazine.
 
 
 
 
 
 
 How can you make an impact?
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Mathematics, Statistics, or related fields
 </li>
 <li>
 Minimum 2 years of experience in Customer Data Analytics, Business Intelligence, Reporting, Data Modeling, and ETL solutions/projects
 </li>
 <li>
 Proficient in relational database concepts and languages such as SQL, TSQL, PL/SQL
 </li>
 <li>
 Experience or knowledge in Big Data and Open Source technologies is a plus
 </li>
 <li>
 Strong analytical mindset with the ability to tackle ambiguous problems, identify relevant data, make assumptions, and deliver actionable insights
 </li>
 <li>
 Skilled in defining KPI strategies, growth opportunities, time series analysis, and data visualization
 </li>
 <li>
 Experience with persona analysis and customer journey mapping methodologies
 </li>
 <li>
 Proficient in at least one data modeling or analytics tool such as SAS, KNIME,PBI, Python, or R
 </li>
 <li>
 Solid command of Microsoft Office applications
 </li>
 <li>
 Excellent verbal and written communication skills, able to present data-driven information clearly and professionally
 </li>
 <li>
 Proven ability to collaborate effectively with cross-functional teams and stakeholders
 </li>
 <li>
 Self-motivated, proactive, with a creative and problem-solving approach, open to innovation and continuous learning
 </li>
 <li>
 Fluent in English
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What do we expect you to bring?
 
 
 
 
 
 <ul>
 <li>
 Act as an Analytics Translator by converting complex data into actionable insights accessible to all stakeholders
 </li>
 <li>
 Collaborate with cross-functional teams to define success metrics, track and quantify data, and develop a shared understanding of KPIs
 </li>
 <li>
 Provide ad-hoc analysis and build automated dashboards to offer clear visibility into business performance
 </li>
 <li>
 Develop deep analytical insights into the drivers of product growth and identify areas for improvement
 </li>
 <li>
 Lead the design, implementation, and optimization of loyalty programs, analyzing user behavior through customer segmentation, RFM, and cohort analyses
 </li>
 <li>
 Monitor loyalty campaign performance, design A/B tests, and generate valuable insights for continuous improvement
 </li>
 <li>
 Prepare regular dashboards and reports using data visualization tools for various business units
 </li>
 <li>
 Build predictive models such as churn analysis, CLV estimation, and user lifecycle forecasting
 </li>
 <li>
 Partner closely with CX and Marketing teams to create personalized, data-driven campaigns
 </li>
 <li>
 Aggregate data from multiple sources to create comprehensive dashboards and presentations
 </li>
 <li>
 Use customer insights and analytics to propose and implement strategic improvements
 </li>
 <li>
 Analyze customer feedback, identify key trends and outliers, and derive actionable insights to enhance customer experience
 </li>
 <li>
 Recommend data-driven changes to support strategic decision making and business growth
 </li>
 <li>
 Stay updated on the latest technology trends and contribute to AI projects using Python and R
 </li>
 <li>
 Support the development of communication strategies focused on acquiring new customers and retaining existing ones
 </li>
 <li>
 Conduct market and sales forecasting studies and prepare detailed forecast analyses
 </li>
 </ul>
 
 
 
 
 
 What we will offer you?
 
 
 
 
 Company:
 
 
 <ul>
 <li>
 Working in Green certificated &amp; pet friendly Allianz Tower / Allianz Kamp&uuml;s with modern work spaces, gym &amp; social areas.
 </li>
 <li>
 Working in agile, flexible, digital and social culture
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 Working 40 hours a week
 </li>
 <li>
 Hybrid working
 </li>
 <li>
 Flex summer (July &ndash; August)
 </li>
 <li>
 Part time working
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 Yearly bonus
 </li>
 <li>
 Home expense payment
 </li>
 <li>
 Home office payment (monthly)
 </li>
 <li>
 Transportation
 </li>
 <li>
 Life insurance
 </li>
 <li>
 Employer sponsored pension &amp; Family included health insurance
 </li>
 <li>
 Special Allowances (Marriage, newborn etc.)
 </li>
 <li>
 Meal Allowance (Card/monthly)
 </li>
 </ul>
 
 
 
 
 
 Leave Rights:
 
 
 <ul>
 <li>
 School Report Day (Half Day) &amp; First Day of school (Half Day)
 </li>
 <li>
 Allianz day off
 </li>
 <li>
 Birthday day off
 </li>
 <li>
 Paternity Leave &ndash; 10 days
 </li>
 <li>
 Marriage Leave &ndash; 5 days
 </li>
 <li>
 
 After 4 years of work, having extra one day annual leave each year (up to 26 days)
 
 </li>
 </ul>
 
 
 
 
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Join us.
 
 Let's care for tomorrow.
 
 
 
 
 
 
 And there is much more!
 
 
 
 Do the items above define you? Do you believe you can passionately and successfully carry out the tasks involved in the job description, that is the perfect match for you? Then, come and apply for the
 
 &ldquo;Customer Experience Data Scientist - P&amp;C Retail Insurance Member&rdquo;
 
 position.
 
 
 
 
 
 While you await news from us, we would like to share a playlist with you to help you enjoy your time.
 
 
 https://open.spotify.com/playlist/1Zx2if289cAz4WClmUvsL5?si=b48f678f66424584
 
 
 
 
 
 &ldquo;This is Allianz, life is quite different here!&rdquo;
 
 
 
 #TutkuylaY&uuml;r&uuml;yenlerinYolu #LetsCareForTomorrow #AllianzT&uuml;rkiye
 
 
 
 
 
 
 
 "Please find the clarification text about the processing of your personal data within the scope of the GDPR in the link below."
 
 
 
 
 https://www.allianz.com.tr/tr_TR/faydali-bilgiler-ve-linkler/is-basvurulari-kapsaminda-iletilen-kisisel-verilerin-islenmesi-hakkinda-aydinlatma.html
 
 
</div>

OBSS

<div>
 
 
 Company Description
 
 
 
 OBSS is Turkey&rsquo;s largest technology consultancy, pioneering product development and technology consulting for an AI-native future. With more than 20 years of experience and offices in Istanbul, Ankara, London, Amsterdam, and Baku, we empower leading companies in banking and finance, insurance, e-commerce, retail, and the start-up ecosystem. Our team of over 1000 talented professionals thrives on collaboration, innovation, and continuous learning.
 
 
 
 
 
 OBSS is looking for a
 
 Data Scientist
 
 to join our dynamic team and contribute to delivering high-impact, data-driven solutions. You will work on cutting-edge projects, collaborating with cross-functional teams to build advanced models, generate insights, and design scalable solutions that drive real business outcomes.
 
 
 
 
 
 
 Main Responsibilities
 
 
 
 We are seeking a talented Data Scientist to work on a high-impact project. In this role, you will be responsible for working with big data, building robust data models, and leveraging advanced SQL skills to deliver actionable insights.
 
 
 
 
 
 
 Qualifications / Technical Skills
 
 
 <ul>
 <li>
 3&ndash;8 years of professional experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong hands-on experience with big data technologies and data modeling
 </li>
 <li>
 Advanced SQL skills with the ability to translate data into meaningful analyses
 </li>
 <li>
 Hands-on experience in projects involving personalization, recommendation systems, and customer segmentation
 </li>
 <li>
 Programming proficiency in Python
 </li>
 <li>
 Experience with machine learning, including classical ML models (classification, regression) and deep learning frameworks (TensorFlow, PyTorch)
 </li>
 <li>
 Knowledge of A/B testing methodologies
 </li>
 <li>
 Preferably experienced in feature engineering
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 Professional Growth &amp; Learning
 
 
 
 As a tech company, we focus on reskilling and upskilling to support career growth. We offer a personalized Individual Growth Program (IGP), where employees set clear goals for each half of the year. These goals may include trainings, certifications, and personal development milestones, creating a structured roadmap for continuous improvement. The IGP helps employees strengthen both technical and soft skills, ensuring steady professional advancement.
 
 
 
 
 
 
 Company Culture and Values
 
 
 
 We celebrate diversity, inclusion, and equal opportunity, fostering a collaborative environment where innovation can flourish. Our culture emphasizes mentorship, knowledge sharing, and active participation in tech communities, workshops, and team events. This vibrant atmosphere empowers employees to contribute their best while feeling supported and valued.
 
 
 
 
 
 
 Benefits and Perks
 
 
 
 We provide competitive salaries, flexible and hybrid working arrangements, and a wide range of opportunities for growth through training programs, certifications, and workshops. In addition, we offer initiatives designed to build a supportive and engaging workplace where curiosity and collaboration are encouraged. These benefits ensure that employees feel motivated, empowered, and equipped to reach their full potential.
 
</div>

Data Scientist

Sigortam.net

<div>
 
 
 We are embarking on an exciting journey at Sigortam.net!
 
 As the first and largest insurance marketplace in Turkey, Sigortam.net currently cooperates with 25+ insurance companies to serve 10+ million customers and this is just the beginning.
 
 Our dream is to become the leading tech company in the region
 
 , which brings a positive impact to the insurance sector through better customer experience driven by technology.
 
 
 
 
 
 
 We strongly believe in the value of putting people first
 
 &ndash; our colleagues and customers &ndash; and are rebuilding the organization with exceptional talent.
 
 We are a team of empowered individuals with a growth mindset
 
 and desire to learn in a fast-paced environment.
 
 We are looking to welcome colleagues who will take full ownership
 
 , challenge the status-quo, persist in the face of setbacks and test new things.
 
 Fast and data-driven decision-making is part of our DNA
 
 : We believe in the value of making fast decisions, learning and improving.
 
 
 
 
 
 
 At Sigortam.net, we succeed or fail as a team
 
 . Our colleagues do not feel threatened by the success of others, but rather find inspiration in them.
 
 Humility is a "must have"
 
 quality we seek in every candidate we meet. If you are up for this challenge and exciting journey, come and join us!
 
 
 
 
 
 Sigortam.net is currently seeking a
 
 "Data Scientist"
 
 to join their Data Analytics team. In this role, you will play a key part in developing and optimizing
 
 machine learning models, data pipelines, and analytical frameworks
 
 that power our decision-making processes. This position requires a blend of
 
 technical expertise and strategic thinking
 
 , with a strong focus on leveraging
 
 data science and AI-driven insights
 
 to enhance business outcomes.
 
 
 
 
 
 The
 
 Data Analytics Chapter
 
 at
 
 Sigortam.net
 
 is responsible for shaping and executing the company's
 
 data analytics strategy
 
 . Our mission is to drive
 
 data-driven decision-making
 
 with a strong customer focus while fostering a culture of data literacy across the organization. We actively promote the adoption of
 
 data-driven solutions
 
 to enhance business impact.
 
 
 
 
 
 We are looking for a
 
 Data Scientist
 
 to join our team and contribute to our data-driven initiatives.
 
 
 
 
 
 
 Your profile:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 
 
 or a related STEM discipline with strong quantitative skills.
 </li>
 <li>
 
 1&ndash;3 years
 
 of hands-on experience in
 
 Data Science
 
 ,
 
 Machine Learning
 
 , or
 
 AI
 
 projects
 </li>
 <li>
 
 Strong proficiency in Python and SQL
 
 is essential, with hands-on experience in
 
 data manipulation (Pandas, NumPy), machine learning (Scikit-learn), and working with large-scale datasets
 
 .
 </li>
 <li>
 
 Hands-on experience with LLM ecosystems
 
 (OpenAI, Hugging Face, LangChain, vector DBs such as Pinecone or Milvus) and prompt engineering / fine-tuning is a strong plus.
 </li>
 <li>
 Solid understanding of
 
 statistical modeling
 
 ,
 
 data mining
 
 , and
 
 ML lifecycle
 
 : from feature engineering to model tuning, evaluation, and deployment
 </li>
 <li>
 
 Familiarity with MLOps practices
 
 , such as
 
 model monitoring, versioning, automated retraining, and deployment pipelines
 
 . Experience with
 
 MLflow
 
 for experiment tracking, model management, and lifecycle automation is a plus
 </li>
 <li>
 
 Experience in managing and optimizing Datamart structures
 
 , ensuring data integrity, performance, and scalability
 </li>
 <li>
 Comfortable building and updating dashboards using
 
 Power BI
 
 (or similar tools); knowledge of visualization libraries such as matplotlib, seaborn, or plotly is a plus
 </li>
 <li>
 Excellent communication skills, capable of simplifying complex information into actionable and executable points for both
 
 C-level executives
 
 and
 
 business units
 
 </li>
 <li>
 Ability to extract valuable insights from data and adeptly craft engaging narratives that truly resonate with
 
 business stakeholders
 
 through
 
 powerful storytelling
 
 </li>
 <li>
 Experience with
 
 Git
 
 </li>
 <li>
 
 Agile
 
 methodology knowledge is a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Your role:
 
 
 <ul>
 <li>
 
 Conduct exploratory data analysis
 
 
 (EDA)
 
 to gain deep insights into the dataset, enabling effective evaluation and drawing meaningful conclusions.
 </li>
 <li>
 Collaborate with cross-functional teams (product, growth, engineering, operations) to
 
 translate business needs into data solutions
 
 , uncover customer issues, and develop measurable impact.
 </li>
 <li>
 Take end-to-end ownership of the
 
 analytics and modeling lifecycle
 
 &mdash;from problem framing to deployment&mdash;ensuring solutions are robust, scalable, and aligned with business goals.
 </li>
 <li>
 
 Develop and maintain machine learning models,
 
 ensuring they remain
 
 accurate
 
 
 and
 
 
 relevant
 
 by monitoring performance, detecting drift, and retraining when necessary.
 </li>
 <li>
 
 Implement and oversee MLOps processes
 
 , including
 
 model deployment, versioning, and automation,
 
 to ensure models are efficiently integrated into
 
 production environments.
 
 </li>
 <li>
 
 Design and deploy LLM-powered solutions
 
 such as retrieval-augmented generation pipelines (RAG), document Q&amp;A systems, and customer service chatbots that drive internal efficiency and enhance customer experience.
 </li>
 <li>
 Proactively explore emerging techniques in
 
 ML and Generative AI
 
 , especially those applicable to the insurance domain, and champion their adoption where they create value.
 </li>
 </ul>
 
 
 
 
 
 
 
 Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the
 
 https://www.sigortam.net/calisan-adayi-aydinlatma-metni/
 
 link.
 
</div>

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.
 
 
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
 
 
 
 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 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>

Experian

<div>
 
 Company Description
 
 
 
 Ready to make a difference? Experian has evolved into a global tech company and specialized in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses and society. We're a member of the FTSE 30 and for more than 125 years we've helped economies and communities flourish &ndash; and we're not done.
 
 
 Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, experienced people and new ideas so we can help create a better tomorrow. To do this we employ 'big-thinkers' that share our purpose #uniquelyexperian
 
 
 
 Job Description
 
 
 
 We are looking for Data Scientist Consultants to join our Experian Turkey Team!
 
 
 The role requires that you have a strong background in machine learning and data mining. A proven track record in project partnership and stakeholder management is essential. You will be a team player who is eager to both teach and learn on a daily basis, who is proactive and self-motivated and has excellent communication skills.
 
 
 <ul>
 <li>
 Engage in a consultative way with Experian clients to identify problems and define, design, and deliver analytical solutions,
 </li>
 <li>
 Define and design solutions for the whole customer lifecycle and for regulatory parameter estimation and validation projects based on Experian Decision Analytics best practice solutions and present these to clients,
 </li>
 <li>
 Suggest market adequate solutions in the analytics and regulatory area and take responsibility for producing proposals,
 </li>
 <li>
 Demonstrate good project management skills and act as a project leader for delivering analytical projects,
 </li>
 <li>
 Prioritize workloads and provide mentoring and guidance to Data Analysts,
 </li>
 <li>
 Develop strong working relationships with managers and executives within client organizations to add value to client&rsquo;s business and achieve project objectives,
 </li>
 <li>
 Seek out opportunities that help grow the business,
 </li>
 <li>
 Actively contribute to winning new business from new and existing customers &ndash; nurture and enhance existing client relationships; identify and progress opportunities to enhance existing solutions and cross sell other products and services,
 </li>
 <li>
 Identify opportunities to deliver analytical projects to clients and conduct feasibility studies in support of sales activities,
 </li>
 <li>
 Proactive and regular communication with Sales team to identify and progress on opportunities
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Degree or equivalent standard, with a high numeric content e.g. Engineering, Mathematics, Statistics, Economics, Econometrics, Operational Research from top universities. Degree in Data Science is a plus.
 </li>
 <li>
 3-5 years of work experience preferably in analytics and consultancy related areas. Proven experience of managing and delivering high quality data analytics.
 </li>
 <li>
 Excellent presentation, communication and negotiation skills.
 </li>
 <li>
 Strong organizational and leadership skills. Ability to cope and deliver excellent results in a high-performance environment.
 </li>
 <li>
 Ability to build and maintain solid long-term relationships
 </li>
 <li>
 Ability to work independently and proactively. Problem solver who proposes innovative solutions, able to shape and define solutions matched to requirements.
 </li>
 <li>
 Good knowledge and experienced in business unit products and operations especially in Banking and Telecommunications sectors (i.e. Credit risk management, Customer management experience, Data management, Basel Accord, IFRS9, Collections, etc.)
 </li>
 <li>
 Excellent PC skills, especially in MS Word, PowerPoint and Excel
 </li>
 <li>
 Experience in programming and data preparation (SAS, SPSS, SQL, proficiency in Python and preferably in some of R, Scala, C/C++ or similar). Good knowledge and experience with several learning techniques such as clustering, regression, neural networks, SVMs, trees, and ensemble methods such as random forests and boosting.
 </li>
 <li>
 Fluency in written and spoken English
 </li>
 <li>
 Experience in achieving and being tracked on financial targets is a plus
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Data Scientist Consultant

Explore 1530+ Customer experience data scientist p c retail insurance member in Istanbul this September. Find roles across top companies and apply now to boost your career.

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