business analyst

data analyst

data scientist

data engineer

senior data scientist

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>

TRB 360

<div>
 
 
 We are hiring a Data Scientist for our AI-based oil &amp; gas trading and hedging startup.
 
 
 
 
 
 
 
 Location:
 
 &Idot;stanbul
 
 
 Ankara
 
 
 
 
 
 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.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <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>
 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>
 <li>
 Excellent analytical thinking / problem solving skills and attention to detail
 </li>
 <li>
 Ability to deal with ambiguity in defining activities and direction with good planning skills
 </li>
 <li>
 Strong background in Mathematical Modeling, Operations Research, Statistical approaches
 </li>
 <li>
 University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
 </li>
 <li>
 Experience with statistical packages such as Python, R, GAMS and SQL is a big plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 &bull; Experience with PySpark, Airflow, Tableau
 
 
 &bull; Experience with software implementation
 
</div>

Data Scientist (İstanbul/Ankara)

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

EGN POWER

<div>
 
 
 Company Description
 
 
 
 EGN POWER is a dynamic start-up providing AI driven asset management solutions for renewable energy power plants. We are located in &Idot;T&Uuml; Ar&inodot; Teknokent.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time hybrid role for a Senior Data Scientist located in &Idot;stanbul, with some work from home acceptable.
 
 
 
 
 
 
 Location:
 
 &Idot;stanbul (hybrid)
 
 
 
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 Responsibilities
 
 
 
 The Senior Data Scientist will be responsible for developing, implementing, and deploying machine learning models. Day-to-day tasks include researching and applying advanced machine learning techniques, performing data analysis, designing algorithms, and collaborating with cross-functional teams to integrate machine learning solutions into products.
 
 
 It should follow new developments in the era and staying up to date with the latest AI and Machine Learning applications, develop and deploy containerized applications, design and manage SQL/NoSQL databases with full CRUD operations for efficient data handling.
 
 
 Strong Python programming skills; experience with ML libraries (e.g., scikit-learn, pandas).
 
 
 Familiarity with time-series forecasting or anomaly detection in energy or industrial datasets.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Mathematics, Physics, Industrial Design, etc.
 </li>
 <li>
 Residing in &Idot;stanbul
 </li>
 <li>
 4-8 years of professional experience in software development
 </li>
 <li>
 Interested in AI and ML environments
 </li>
 <li>
 Good understanding of System Design
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Experience with Docker and FastAPI
 </li>
 <li>
 Hands-on experience building on cloud platforms like AWS.
 </li>
 <li>
 Strong knowledge in Pattern Recognition and Neural Networks
 </li>
 <li>
 Solid understanding of Computer Science fundamentals
 </li>
 <li>
 Experience with Python
 </li>
 <li>
 Excellent problem-solving and analytical skills
 </li>
 <li>
 Ability to work both independently and collaboratively in a hybrid environment
 </li>
 </ul>
 
 
 
 
 Technical Task Before Hiring
 
 
 As part of our hiring process, shortlisted candidates will be given a technical task that reflects the kind of challenges they may face in the role.
 
 <ul>
 <li>
 The task is designed to assess your technical skills, problem-solving ability, and code quality.
 </li>
 <li>
 You&rsquo;ll have a set timeframe (e.g., 3&ndash;5 days) to complete and submit the task.
 </li>
 <li>
 Evaluation will focus on correctness, efficiency, clarity, and your approach to solving the problem.
 </li>
 <li>
 The task is a required step before final interview.
 </li>
 </ul>
</div>

Senior Data Scientist / Machine Learning Engineer

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>

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>

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832 data scientist consultant jobs IN Istanbul

Data Scientist Consultant

Data Scientist Consultant

Data Scientist (İstanbul/Ankara)

Data Scientist

Senior Data Scientist / Machine Learning Engineer

Data Scientist

Data Scientist