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growth, data analytics professionals Jobs in Istanbul

growth, data analytics professionals

data scientist consultant

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

<div>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> 
 
<div>About Experian</div> 
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 
 
<div>Experience and Skills</div> 
<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> 
 
<div>Additional Information 
</div> 
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<div></div>
Experian Careers - Creating a better tomorrow together</div>

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

Peak

<div>
 
 We are looking for a Data Scientist who is passionate about using data to solve challenging problems. As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to drive strategic decisions and develop innovative solutions. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders.
 
 
 
 
 
 If you are a motivated and data-driven individual with a passion for gaming, join our team to help our games thrive in an exciting global industry!
 
 
 
 
 
 
 Here's what you&rsquo;ll do
 
 
 
 
 
 <ul>
 <li>
 Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights
 </li>
 <li>
 Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines
 </li>
 <li>
 Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps
 </li>
 <li>
 Work closely with product teams to model, simulate, and help fine-tune the game&rsquo;s internal economy
 </li>
 <li>
 Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing teams to make data-informed decisions: dashboards, reports, ad-hoc analysis and insightful observations
 </li>
 <li>
 Collaborate with different teams to drive, implement and analyze A/B testing results
 </li>
 <li>
 Develop and maintain our player segmentation tool
 </li>
 <li>
 Build predictive models using machine learning algorithms
 </li>
 <li>
 Stay up-to-date with industry trends, best practices, and new tools and techniques in data analysis &amp; data science
 </li>
 <li>
 Work with our tech stack:
 
 (dbt (Python, SQL), Snowflake, Looker, Hex, Streamlit, Airflow)
 
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experiences
 
 
 
 
 
 <ul>
 <li>
 University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
 </li>
 <li>
 Minimum of 1 year of hands-on data science experience in a tech companies
 </li>
 <li>
 Strong knowledge of SQL and Python; excited to learn new languages when needed
 </li>
 <li>
 Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus
 </li>
 <li>
 Passion for mobile casual games
 </li>
 <li>
 Excellent attention to detail, natural curiosity and ability for creative problem-solving
 </li>
 <li>
 Strong written and oral communication skills
 </li>
 <li>
 Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Areas in which you'll continue to grow
 
 
 
 
 
 <ul>
 <li>
 Proficiency in extracting, processing and modeling huge amounts of data
 </li>
 <li>
 Working with one of the richest and largest datasets of the technology industry
 </li>
 <li>
 Proficiency in data analytics, data science and visualization tools
 </li>
 <li>
 Ability to initiate, support and improve product &amp; marketing decisions thanks to the evolving role of data in a fully data-driven environment
 </li>
 </ul>
</div>

TBI BANK

<div>Join the best bank to work for in Bulgaria* 
Who we are: 
Do you want to join a well-established bank with a start-up culture? No, we&rsquo;re not joking! 
We, at tbi, have been one the most profitable banks for years and we are growing at a fast pace. We&rsquo;re a bank with a long history of success that operates as a start-up and we&rsquo;re always on the lookout for new opportunities to grow our business. How do we do that?
It's all about our people. Our team is made up of brave, passionate and caring people who don&rsquo;t just want to follow the same path &ndash; we want to transform into mobile-first, state-of-the-art lifestyle ecosystem. Our colleagues love working here &ndash; 80% of them would recommend tbi as an employer to their friends and family. Our people are engaged in challenging and meaningful work, inspired to grow their potential and career, encouraged to learn and empowered to take decisions. That&rsquo;s not corporate babble, it&rsquo;s what our people say.
Do you want to play a key role in our unique success story?
If so, we're looking for a Data Scientist to join our team on the journey to success! 
 
 
 
Tbi bank is on a journey to transform its processes through data-driven decisioning. As a Data Scientist in Pricing Projects, you will play a key role in developing and scaling elasticity-based pricing models for consumer lending products across multiple markets. Your insights will directly shape lending decisions, optimize profitability, and contribute to the bank&rsquo;s target. 
What You&rsquo;ll do:<ul><li>
Develop and deploy machine learning models (Random Forests, Gradient Boosting, ElasticNet, deep learning) to estimate price elasticity, conversion probability, and risk metrics across loan products and customer segments</li><li>
Build and calibrate pricing models in collaboration with Pricing, Risk, and Product teams to optimize APR, approval rates, margin, and default risk</li><li>
Implement AI-driven frameworks to analyze customer behavior, forecast key KPIs (CLTV, NPL, loss given default) and identify risk patterns</li><li>
Run A/B tests and simulations to validate new pricing strategies and measure their impact on profitability and customer experience</li><li>
Develop data pipelines and dashboards for model monitoring, explainability (e.g. SHAP, LIME), and real-time performance tracking</li><li>
Collaborate with engineering and BI teams to integrate models into production systems (Provenir, Product Factory Engine, Snowflake)</li><li>
Support the Pricing Center of Excellence by developing methodologies, KPIs, and governance frameworks for responsible AI use</li><li>
Promote personalized, AI-driven pricing through customer segmentation and behavioral insights</li><li>
Ensure consistency in pricing logic, risk assessment, and compliance across markets (Bulgaria, Romania, Greece)</li></ul> 
What you&rsquo;ll need to succeed:<ul><li>
Bachelor&rsquo;s degree in Data Science, Applied Mathematics, Statistics, Engineering, or a related field</li><li>
MSc or PhD in Data Science, Applied Mathematics, Statistics, or a related discipline will be considered an advantage</li><li>
3+ years of experience as a Data Scientist or Quantitative Analyst within banking, fintech, or pricing analytics</li><li>
Strong proficiency in Python (pandas, scikit-learn, statsmodels) and SQL</li><li>
Experience working with tools such as Provenir, Snowflake, or Power BI will be considered an advantage</li><li>
Proven experience in model interpretability and feature importance analysis (e.g., Random Forest relevance)</li><li>
Hands-on experience with elasticity modeling, A/B testing, and optimization techniques</li><li>
Familiarity with consumer lending products, credit risk scoring, and customer segmentation techniques will be considered an advantage</li><li>
Exposure to marketing analytics or cross-functional pricing optimization will be considered an advantage</li><li>
Excellent data storytelling skills and the ability to translate analytical insights into commercial actions</li><li>
Analytical approach, attention to detail, and ability to manage multiple projects</li><li>
Team player with a proactive attitude, problem-solving mindset</li></ul> 
What we offer:<ul><li>
Seize the opportunity to grow your career</li><li>
Engage in exciting and meaningful work</li><li>
Get recognition for your work and attitude</li><li>
Become part of a large, friendly and supportive team</li><li>
Get additional private health insurance</li><li>
Receive special prices for multisport card and multiple retailers</li><li>
Obtain preferential prices for our banking products</li><li>
Enjoy a great location in Sofia&rsquo;s city centre near National Palace of Culture and South Park</li></ul> 
Visit our Career Page to learn more about what makes us different. 
If this sounds like something you&rsquo;d be interested in, we'd love to hear from you!
To apply for this position, please send us your CV in English.<div>
We'd love to get back to everyone, but due to the number of applications we receive, we can only contact the shortlisted candidates. 
 
<ul><li>We are ranked the top bank and top 4 employer to work for in Bulgaria according to Kaderabotim.bg official 2024 employer rankings.</li></ul></div> 
All applications are treated with utmost confidentiality. 
 
By submitting your job application to tbi bank, you confirm that you have read the document named &ldquo;Information related to personal data processing for job applicants&rdquo; publicly available on tbi Career page.</div>

Turknet

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

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