Работа Data Warehouse Developer
127 нови обяви за работа
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Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing...
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7,680 лв - 12,180 лв / месец (нето) от работодател
Senior Data Engineer Sofia/hybrid Around 7000-10.000+ BGN net/month + annual bonus 1.4 net salaries + benefits (including family insurance) Nordic Recruitment & Consulting offers efficient IT and Cyber Security recruitment and business consulting in...
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DSK Bank is one of the leading banks in Bulgaria, with a great IT team of more than 350 IT talents, experiencing professional growth and development every day. We are the biggest and fastest growing player on the bank market and we are focused on dig...
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About the role: We are on a mission to bring subprime lending to the Fintech 2.0 horizon! Our way forward is to provide sustainable, scalable and embedded financial solutions to a wider range of customers that are often excluded by the traditional b...
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RecruityTalent is a Recruitment agency with focus of IT, supporting startups and enterprises in Bulgaria, EMEA and LATAM by connecting them with top talent. About the Role We are looking for an experienced Senior Data Engineer with strong expertise ...
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Mid or Senior Data Engineer Sofia/hybrid Highly competitive salary and bonus and unbeatable benefits package Nordic Recruitment & Consulting offers efficient IT and Cyber Security recruitment and business consulting in Bulgaria - and beyond. Having...
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FULLSTACK DATA SCIENTIST (m/f/d) We are seeking talented and passionate data scientists to join our growing team and revolutionize our operations research portfolio. In this role, you will be at the forefront of developing and implementing cutting-e...
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Delivering value to our customers through seamless and integrated technological processes is a key focus for dormakaba. Stable and reliable data is a cornerstone for every digital process and interaction for both internal and external stakeholders. J...
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RecruityTalent is a Recruitment agency with focus of IT, supporting startups and enterprises in Bulgaria, EMEA and LATAM by connecting them with top talent. For one of our clients: We are seeking a skilled and motivated Senior Data Engineer. What Y...
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Postbank has over 30 years’ presence as one of the leaders in Bulgaria’s banking sector. The bank is a decisive factor in innovation, shaping the country’s banking trends in recent years and is award-winning for its innovation. For our IT Divi...
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Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing...
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Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solution...
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7,680 лв - 12,180 лв / месец (нето) от работодател
Senior Data Engineer Sofia/hybrid Around 7000-10.000+ BGN net/month + annual bonus 1.4 net salaries + benefits (including family insurance) Nordic Recruitment & Consulting offers efficient IT and Cyber Security recruitment and business consulting in...
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HMG LINKS Ltd is a local multi-sector recruitment company focused on tailor-made solutions for its partners’ human resources needs. We strongly believe in an honest and ethical approach to recruitment. Data and tools? You are an analytical thinker...
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Data Engineer DSK Bank is one of the leading banks in Bulgaria, with a great IT team of more than 350 IT talents, experiencing professional growth and development every day. We are the biggest and fastest growing player on the bank market and we ar...
Какво е това?
Това е изчисление на Yox за приблизителната работна заплата за тази позиция. Посочената стойност не е потвърдена от работодателя и може да се различава с реалната стойност на предлаганото възнаграждение.
Как се смята?
Изчислена Заплата е приблизителната стойност на възнаграждение за конкретната позиция на базата на данни от стотици хиляди обявени заплати по професия за последните 2 години. В Yox се предоставя и информация за заплатите от служители, която също е част от изчислението.
Защо тази информация е полезна?
Можеш да разбереш приблизителната заплата за тази позиция. Можеш и да филтрираш списъкът с обявите за работа по размер на работната заплата.
Пълно описание
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
We invest in talented people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com .
Job Description
We are currently looking for Data Scientist to join our growing Sofia based Analytics Team, established in 2007, as we are expanding our portfolio to support our North America Business.
As a Data Scientist, you will develop and validate robust analytical solutions for diverse clients – this includes ad hoc data analysis as well as development of statistical models for predicting and managing the behavior of consumers, utilizing machine learning techniques to enhance traditional credit risk models and improve predictive accuracy. You will be presenting results and business analysis to senior stakeholders (both internal and external) and support more junior team members in their day to day activities. You will report to Data Modeller-Manager.
What you will do:
- Develop, validate, and maintain credit risk models, including application, behavioral, and collection scoring models
- Utilize machine learning techniques to enhance traditional credit risk models and improve predictive accuracy
- Work with large, complex datasets to extract insights and build risk assessment frameworks
- Evaluate the performance of the trained models and presentation of the results to stakeholders
- Produce ad-hoc analysis on the developed models
- Work on proof-of-concept projects to support client needs
- Maintenance and improvement of the existing model development pipeline
- Research and development of new advanced analytics solutions
Qualifications
What you will bring:
- 3+ years of experience in Data Science role
- A degree (BSc level) at a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics, etc.
- Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
- Understanding of how and when to apply key analytical approaches including regression analysis and machine learning
- Ability to write near-production-level code in at least one general purpose programming language (e.g. Python, C++)
- To learn and understand new technologies
- Analytical and problem-solving abilities, coupled with an enquiring mind
- Experience with BI Tools such as Tableau and Power BI will be considered as an advantage.
- Fluency in English
Additional Information
What you will get:
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
- Opportunity for flexible working hours and home office.
- Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books.
Experian is an Equal opportunity employer. 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.
This is a hybrid remote/in-office role.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Средна заплата за сектора
4,890 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
500 лв / месец
13,500 лв / месец
Мнения и оценки от служители
Изследовател на данни/изследователка на данни
Изследователите на данни намират и тълкуват богати източници на данни, управляват големи количества данни, обединяват източници на данни, осигуряват съгласуваност на наборите от данни и създават визуализации за подпомагане на разбирането на данните. Те изграждат математически модели като използват данни, представят и съобщават констатациите и откритията за данни на специалисти и учени от техния екип и, ако е необходимо, на неспециализирана аудитория, и препоръчват начини за прилагане на данните.
Необходими основни умения
- съставяне на научни или академични документи и техническа документация
- нормализиране на данни
- управляване на изследователски данни
- използване на техники за обработване на данни
- тълкуване на текущи данни
- взаимодейства професионално в научноизследователска и професионална среда
Необходими основни знания
- проучване на данни
- техники за визуално представяне
- извличане на информация
- статистика
- категоризиране на информация
- език за описание на търсене на мрежови ресурси
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