Data Scientist Consultant at Experian

Şişli, Marmara Region, Turkey -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Mining, Project Management, Analytical Solutions, Banking, Telecommunications, Credit Risk Management, Data Management, Programming, Python, SQL, SAS, SPSS, Clustering, Regression, Neural Networks

Industry

Information Services

Description

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 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 accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We are looking for Data Scientist Consultants to join our Experian Turkey Team! We are looking for that you have a background in machine learning and data mining. A track record in project partnership and partner management is important. You will be a team player who is eager to both teach and learn daily and who is proactive. You will report to Analytics Consultant Lead. Your will contribute to a consultative way with Experian clients to identify problems and provide analytical solutions. 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. Suggest market solutions in the analytics and regulatory area and produce proposals. Demonstrate good project management skills and act as a project leader for delivering analytical projects, Develop working relationships with managers and executives within client organizations to contribute to client's business and achieve project goals. Seek out opportunities that help grow the business. Help win new business from our customers – nurture and enhance existing client relationships; identify and progress opportunities to enhance existing solutions and cross sell other products and services. Identify opportunities to deliver analytical projects to clients and conduct feasibility studies to support sales activities. Qualifications Degree or equivalent standard, with a high numeric content e.g. Engineering, Mathematics, Statistics, Economics, Econometrics, and Operational Research from top universities. Degree in Data Science. 3+ years of experience preferably in analytics and consultancy related areas. Experience managing and delivering high quality data analytics. Eager to propose solutions, able to establish solutions matched to requirements. Good knowledge and experienced in products and operations especially in Banking and Telecommunications sectors (i.e. Credit risk management, Customer management experience, Data management, Basel Accord, IFRS9, Collections) Experience in programming and data preparation (SAS, SPSS, SQL, proficiency in Python and preferably in some of R, Scala, C/C++ or similar). Experience with several learning techniques such as clustering, regression, neural networks, SVMs, trees, and ensemble methods such as random forests and boosting. Fluency in written and spoken English Benefits: Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books. Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time. Social benefit package including food vouchers, private health insurance, monthly flex allowance and internet coverage, Employee assistance program and many other benefits! Opportunity for Flexible working hours and Home Office. Experian is an Equal opportunity employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Hybrid 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 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™ 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 Find out what its like to work for Experian by clicking here Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time

Responsibilities

The Data Scientist Consultant will contribute to identifying problems and providing analytical solutions for Experian clients. They will design solutions for customer lifecycle projects and regulatory parameter estimation, while also managing and delivering analytical projects.