Analytics Consultant

AI in this role

scikit-learnxgboost

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.

As a Consultant, you will report to the Data Modeler Manager and work with our clients to solve complex business problems through analytics.

You'll design and deliver end-to-end analytical solutions, from understanding our client's challenge to implementing practical, business-focused recommendations. You'll combine technical expertise with commercial thinking to ensure our solutions are scalable, and deliver measurable value.

As one of our senior analytical experts, you'll provide technical leadership, guide project teams, mentor colleagues, and help shape the way we deliver analytics across the business.

What you will do

Lead the design and delivery of analytical and data-driven solutions for our clients.
Work with clients and stakeholders to understand business challenges, define requirements, and translate them into analytical approaches.
Provide technical leadership across predictive modelling, scorecard development, machine learning, and advanced analytics throughout the model lifecycle.
Define solution approaches, considering analytical methods, data, technology, implementation effort, and business value.
Lead client discussions, workshops, and presentations, communicating recommendations, risks, and trade-offs to both technical and non-technical audiences.
Mentor and support Analysts and Senior Analysts, helping develop their technical capabilities and providing guidance throughout project delivery.

What you will bring

A degree in Mathematics, Statistics, Computer Science, Economics, Data Science, or another quantitative discipline.
Experience developing predictive models, credit risk scorecards, and analytical solutions within financial services or a consulting environment.
Programming skills in Python, SQL, and SAS, with experience using libraries such as Pandas, NumPy, scikit-learn, XGBoost, or LightGBM.
An understanding of statistical modelling, machine learning, model monitoring, validation, and model governance.
1+ years of experience designing scalable analytical solutions and applying automation or GenAI to improve analytical processes.

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.

What you will 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 books.
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.

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

Analytics Consultant at Experian rates 22 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.

Classification

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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

scikit-learnXGBoost

Questions you could be asked

What's a project where you used scikit-learn hands-on?
Walk me through how you've used XGBoost in your day-to-day work.

Adapt your resume

List these exact terms on your resume: scikit-learn and XGBoost. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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