Senior Data Scientist
Experian is hiring a Senior Data Scientist in Sofia, Bulgaria. Level rates it ; you can apply on Experian.
Level's read on this job
- On Level's scale, this data scientist role is Little AI ●○○○: aI is not part of the work.
- The posting mentions NLP among its tools and skills.
- Level classes it as a senior role.
- Experian has 396 other open roles on Level.
- Posted in the last few days.
AI in this role
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
The Senior Data Scientist will support the ongoing maintenance, monitoring, and improvement of production analytics and machine learning solutions offered to the clients in North America. You will ensure that models and data processes remain accurate, reliable, compliant, and aligned with business and client requirements. It focuses on operational performance, issue resolution, and continuous improvement of existing solutions.
You will report to Director of Data Science and Gen AI.
What you'll do:
- Analyze, process, and document large datasets; select appropriate analytical, machine learning, and data mining techniques to identify useful insights.
- Develop and maintain data structures, storage schemes, processing tools, and analytical pipelines.
- Monitor model performance and stability across use cases; conduct validation, back-testing, and performance reporting.
- Investigate data and model issues, identify root causes, and implement corrective actions or model updates.
- Maintain documentation, version control, audit trails, and data quality practices in support of governance and compliance requirements.
- Assess model outputs, conduct ROI and benefit analyses, and present findings on model performance and analytical processes, develop best practices and business assumptions that support reliable solutions and consistent model performance.
What we're looking for:
- Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
- Understanding how and when to apply key analytical approaches including regression analysis, machine learning, AI, deep learning and other advanced modeling approaches to extract and automate insights from data
- Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample. Fluency with statistical significance tests and Monte Carlo simulation.
- Ability to write near-production-level code in at least one general purpose programming language (e.g. Python, C++).
- Understanding of modern technologies in processing of large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data.
What you'll get:
- Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
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.
#LI-Hybrid
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
How we rate this
Senior Data Scientist at Experian rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new data scientist jobs by email
One email a week with the new data scientist jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step