Senior Data Scientist

Posted 5 Days Ago
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Şişli, İstanbul
Senior level
Big Data • Marketing Tech • Analytics
The Role
The Senior Data Scientist will design and implement analytical solutions to address client needs, primarily focusing on the credit life cycle and risk management. Responsibilities include developing models, troubleshooting issues, presenting proposals, and collaborating with sales to support business opportunities. The role demands strong consultancy skills and experience in banking and analytics.
Summary Generated by Built In

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 realise 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

You will be part of a very dynamic and fast-growing Analytics team in Turkey and you will develop analytical solutions to the benefit of our clients' and their customers.

You must have experience (5-6 years at least) in the development of analytics and data science projects in the field of credit life cycle, risk management, anti-fraud modelling or marketing and CRM. Experience of open banking and transactional data analytics will be a major plus.

Main Responsibilities

  • Design analytics solutions to client's problems in any area of customer life cycle and analytics, using Experian analytics solutions to match best practice – this includes hands-on delivery of data science related contents like development of analytical models and ad hoc analysis, tracking model performance, incident resolution (low accuracy troubleshooting, mis-categorization issue analysis), productionization of developed models and documentation.
  • Contribute to a consultative way with the client, to identify problems and design analytics solutions, with a expertise in machine learning modelling or optimisation techniques.
  • Present proposals to clients for analytics solutions, including recommendations.
  • Provide consultancy on the potential 'bigger picture' strategies.
  • Present to clients to ensure they understand the functionality and benefits of Experian's products in solving business problems.
  • Support the analytics team members on in the development analytical solutions for different clients
  • Develop relationships with important client contacts.
  • Co-ordinate with Experian's Sales team to contribute to sales opportunities and support the conversion of sales prospects especially for the transactional data analytics opportunities.
  • Participate in pre-sales and sales meetings with clients and prospects to describe and position Experian's analytics propositions and to adapt it to our client's needs.
  • Lead the development of our client solutions for the area of open banking and transactional data analytics mostly.
  • Lead the quality of the project deliverables, for the project work meeting client/customer goals and being delivered to schedule and within budget.

Qualifications

  • Degree or equivalent standard, with a high numeric content.
  • 6+ years of work experience in analytics, with at least 3 years' experience in consultancy.
  • Experience in products and operations especially in Banking and Telco sectors (i.e. Credit Lifecycle, Open Banking, Marketing Analytics, Risk Analytics, Regulations)
  • Experience with a broad range of analytical methodologies and their use in solving business problems
  • Experience managing and delivering high quality analytics projects.
  • Solid hands-on experience in data science and machine learning modelling with Python
  • Experience with deep learning and other advanced modelling approaches to extract and automate insights from data.
  • Experience shaping and defining complex solutions to meet client requirements
  • Fluency in written and spoken English

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including health and life insurance, pension and wellbeing benefits.
  • Flexible work environment, hybrid work.

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 & 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 an important 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

Top Skills

Data Analytics
Machine Learning
The Company
HQ: Costa Mesa, CA
16,292 Employees
On-site Workplace
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity.

We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.

For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.

Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.


About Experian:

Bringing data to life requires creativity, passion, flexibility and expertise.

We want you to share in our success. That's why we offer rewards that recognise great performance.

Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.

Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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