data scientist

business analyst

data analyst

senior data scientist

data specialist

analytical 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

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>

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

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>

QNB Türkiye

<div>
 
 
 DATA SCIENTIST
 
 
 
 
 
 
 
 ENHANCE YOUR WORLD WITH AN ENHANCING CAREER
 
 
 
 
 
 
 Are you aware of the power of data analyzing in banking sector which is putting human at the center of the business. Do you trust yourself at creating value at a developing area of one of the oldest and biggest sectors in the World.
 
 
 
 
 
 QNB is always supporting employees who are eager to create a development at their career and the future of the sector. Our human resources policies are aiming to create an equal, fulfilled and empowering working atmosphere for individuals willing to have a satisfying career journey.
 
 
 
 
 
 
 What are the opportunities for you
 
 
 
 
 
 <ul>
 <li>
 Empowering working atmosphere which will appreciate your desire for development
 </li>
 <li>
 Keeping up to date with a progressive sector always looking for a new opportunity
 </li>
 <li>
 Building a career at one of the most trustable and growing sectors.
 </li>
 <li>
 Comfort of working at an environment supporting your happiness and growth
 </li>
 </ul>
 
 
 
 
 
 If you are willing to be a part of this developmental atmosphere
 
 
 
 
 
 
 We are seeking for several data scientists (
 
 junior and mid-level
 
 ) who will help us in discovering the information in vast amounts of data, and making smarter decisions in
 
 QNB R&amp;D Center
 
 . Your focuses will be combining data-driven insights and business knowledge to create analytical solutions for business units and applying machine learning techniques, doing statistical analysis, and building high quality prediction systems integrated with current systems in R&amp;D Center projects. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
 
 
 
 
 
 
 
 Job Description of Our Team:
 
 
 
 
 In order to ensure that process is managed in an accurate and effective way;
 
 <ul>
 <li>
 Designing, developing, and maintaining new and current Dashboards, data models and reports to support business performance evaluations
 </li>
 <li>
 Troubleshooting and adjusting existing data and automated reporting environments
 </li>
 <li>
 Using extensive SQL and code knowledge to derive insights from large datasets in order to solve real-life, fast-paced business problems.
 </li>
 <li>
 Visualizing data through visualization tools and compelling data and portfolio trends to management and business units.
 </li>
 <li>
 Analyzing and extracting data to uncover insights, trends, and opportunities that inform strategic decisions and perform analysis.
 </li>
 <li>
 Collaborating closely with cross-functional teams, particularly IT, to define and execute data analysis projects,
 </li>
 <li>
 Contributing to the development of data analytics strategies aligned with business objectives,
 </li>
 <li>
 Monitoring key performance indicators (KPIs) and providing actionable recommendations based on your analyses,
 </li>
 <li>
 Developing predictive models using various machine learning techniques,
 </li>
 <li>
 Preparing smart variables by performing big data analysis, feature engineering,
 </li>
 <li>
 Keeping up-to-date with latest technology trends, and doing AI projects with Python/R,
 </li>
 <li>
 Establishing connection between the relevant units and with the consulting firms from which support is received in projects, when necessary,
 </li>
 </ul>
 
 
 
 
 
 We are waiting for your application if;
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from a reputable university (preferably in Mathematics, Engineering etc.),
 </li>
 <li>
 Interested in big data, analytics and machine learning subjects,
 </li>
 <li>
 Maximum 4 years of experience in related departments
 </li>
 <li>
 A methodological approach to data by presenting it clearly and effectively to support business decisions
 </li>
 <li>
 Ability to visualize data or use visualization tools,
 </li>
 <li>
 Good command of MS Office programs
 </li>
 <li>
 Good command of SQL for effective data manipulation and querying is a plus
 </li>
 <li>
 Using one of the following modeling programs effectively; SAS, Python, R or SPSS is a plus
 </li>
 <li>
 Fluency in English, both written and spoken
 </li>
 <li>
 Open-minded, strong analytical point of view and problem-solving skills,
 </li>
 </ul>
 
 
 
 
 The future of banking is waiting for you, apply to create an impact on this inspire full journey.
 
</div>

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

Provenir

<div><div>Who We Are 
Provenir is a global fintech company with offices across North America, the UK, and Singapore. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you&rsquo;d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!</div>
<div></div><div>What You&rsquo;ll Do 
We are seeking a commercially-minded Data Scientist to join our global team, designing and delivering solutions that are deployed across our banking and financial services clients. You will work with a variety of data sources to create, validate, and optimize AI and Machine Learning models that drive measurable business outcomes. 
Your primary focus will be to serve as the Data Science business partner for Turkey, working closely with Sales, Professional Services, and customer stakeholders to understand their needs and deliver tailored solutions. You will ensure that models and insights are both technically robust and aligned with local market requirements, regulatory expectations, and business objectives.</div>
<div></div><div>In addition, you will have the opportunity to contribute to global projects as part of the wider Data Science team. This will include sharing best practices, collaborating on model development, and supporting initiatives in other markets when needed.</div>
<div></div><div>This is a remote role with approximately 20% travel is required to clients in Turkey, typically at critical points within the delivery, like project initiation and/or handover of the solution to the client.</div>
<div></div><div>Your Responsibilities</div>
<ul><li>Identify and source relevant data to build, calibrate and deploy state-of-the-art models using the latest AI/ML technologies and methods.</li>
<li>Understand the problems of our clients, designing appropriate Data Science solutions that meet their business requirements.</li>
<li>Partner with our Solutions Architects and Engineering teams to integrate ML and AI solutions within Provenir products.</li>
<li>While working in a fast-paced environment, interpret, document and successfully communicate solutions to stakeholders, including those in non-technical and senior management roles.</li>
<li>Provide expert input into future analytical strategies and product development</li>
<li>Contribute towards the commercial success and revenue generation</li>
<li>Provide technical guidance to the Sales, Pre-Sales and Professional Services on commercial Data Science opportunities across Turkey and the rest of the world.</li>
</ul>
<div> 
Your Strengths and Skills &#65039;</div>
<ul><li>You have a minimum of 3 years experience in a data science role, including hands-on experience in developing supervised and unsupervised advanced machine learning algorithms.</li>
<li>You have strong data wrangling and manipulation skills for merging, cleansing, and sampling data</li>
<li>You have domain experience in Fraud, Credit Risk Management or Marketing analytics.</li>
<li>You actively participate in team meetings and can clearly and concisely articulate.</li>
<li>You will take initiative, learn quickly and are able to adapt to shifting priorities.</li>
</ul>
<div> 
Although not essential, it would be great if you also have any of these strengths,</div>
<ul><li>You have B2B client-facing experience, where you can talk confidently about data and AI.</li>
<li>You have good knowledge of data and banking regulations (e.g. BDDK, KVKK, etc)</li>
<li>You follow best practices across the MLOps lifecycle (e.g. CI/CD, pipeline orchestration and containerization).</li>
</ul>
<div> 
Interview Process</div>
<ul><li>The interview process would typically be structured as follows:</li>
<li>Initial chat. This will be with a member of our recruitment team to get a better understanding of your current situation, what you are looking for and any questions you may have.</li>
<li>Technical Challenge. This is a take home task where you will solve a typical Data Science problem in your own time. It will give you an insight into the exciting problems we solve.</li>
<li>Technical Interview. This will be with two data scientists from the global team and primarily consist of technical questions.</li>
<li>Local Team Interview. This will be with Sales Executive and Solutions Architect based in Turkey, and cover mostly business and behavioural competencies.</li>
</ul>
<div> 
What You&rsquo;ll Love about Us 
Our employees are empowered to be curious, forward-thinking leaders. We ask them to explore the uncharted and invent the unimagined. That&rsquo;s what makes Provenir unique. 
We offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly options, along with benefits to plan for your future.</div>
<div> 
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.</div></div>

Data Scientist (Turkey)

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Data Scientist

Data Scientist

Actuarial Data Scientist / Pricing Analyst

Data Scientist

Data Scientist

Data Analyst and Scientist

Data Scientist (Turkey)