Description

Results-driven Data Scientist and Solution Architect with 15 years of industry experience in building advanced data solutions and predictive analytics across multiple industries. Lead end-to-end projects delivery and provided technical expertise for complex decisions for FTSE 100 companies and SME businesses; managed teams of up to 10 people including Solution Architects, Front- and Backend developers, Data Scientists, etc.

Successfully delivered multiple projects using NLP, Cloud and the latest AI technologies including: a recommendation system for Burger King mobile apps (developed and deployed into production); a cloud platform for CV skills extraction and management; Voice AI agents based on Deepgram and ChatGPT for new leads generation; a Pdf documents classifier using Transformer models including Microsoft LayoutLM.

Demonstrated ability to effectively communicate complex data insights, define data-driven strategy for business, manage and mentor data teams fostering a culture of open discussion, continuous learning and innovation. Proficient in Python, SQL, cloud platforms (prefer AWS), with deep understanding of ML models development process and deployment in production environments. Practical experience with the latest AI technologies (NLP, MLOps, AI agents).

Industry experience:

Consulting, Renewables, Retail, Revenue and Price Optimization, AdTech, IoT & Sensors.

Industry field of expertise

Languages

English
Native or bilingual
Russian
Native or bilingual

Workplace preferences

Can work on-site

London (up to 20km)

Phaidon International
Lead data scientist
HUMAN RESOURCES
February 2025 - March 2026 (1 year and 1 month)
London, UK
Analysis and modelling of business processes
o Directly reported to company CEO and CIO;
o Created weekly insights reports showing current business KPI metrics, tested hypotheses and developed data strategy;
o Modelled company profit per consultant tenure and influenced company investment decisions;

Optimization of consultants’ work efficiency
o Prototyped and deployed a Machine Learning model, rolled out to over 1,000 consultants, saving up to 30% of their working time;
o Learnt optimal consultant behaviour (rules) from historical data;

Revenue forecasting
o Prototyped and deployed a Markov chain model simulating recruitment process to forecast revenue from individual vacancy cohorts;
o Monte Carlo simulations of the model showed prediction error less than 10% with confidence intervals and indicated issues in any recruitment stages early;

Mentored a Senior Data Scientist as a direct report.
Data science Machine learning Statistical modelling Monte Carlo simulations Project Management
CI&T (global digital transformation consultancy),
Data science & analytics manager
DIGITAL AND IT
July 2022 - November 2024 (2 years and 4 months)
London, UK
Recommendation system for Burger King’s mobile apps
o Led development and deployment across four countries (over 2 million users);
o Led A/B testing showing 50% engagement increase;
o 10x cost reduction comparing to existing company solution;

Projects management
o Led teams of up to ten Solution Architects, Data Scientists, Frontend and Backend Developers;
o Delivered end-to-end projects as a hands-on lead;
o Managed data enablement, enhancement and quality projects;
o Developed PoCs on AI-for-code topics;
o Oversaw stakeholder management, business KPIs, planning and roadmaps.
artificial intelligence Data science Project Management recommendation system AI and Advanced Analytics
Toptal
Data science & AI developer
DIGITAL AND IT
May 2021 - Today (5 years and 1 month)
London, United Kingdom
Delivered 20+ projects in Data Science, Machine Learning and AI
o Fine-tuned LLM model for Conversational Voice AI agents’ post call analysis, affecting thousands of customers;
o Built a cloud platform for CV skills extraction and teams building;
o Automated business reporting for a carbon removal company using dbt and PowerBI tools;
o Architectured pipelines for weekly scraped large volumes of data and optimized revenue and pricing for hundreds of rental properties across the US and Canada;
o Simulated novel sensor equipment for elite athletes;
o Consulted Duracell on data pipeline architecture and ML/AI technologies;
o Reproduced scientific results on climate change (Nature article) using recent NASA data;
o Reproduced methodology to calculate human biological age using biomarkers (Nature article);
o Automated calibration of X-Ray Fluorescence Analyser for real-time drill core geochemistry analysis and built a data visualization dashboard in the cloud;
o Modelled macroeconomic consumer demand and demographics time-series for the beverage industry;
o Developed algorithms for Pdf documents content scraping and classification using Microsoft LayoutLM and other Transformer models;
o Performed website funnel analysis for an eCommerce, a Fashion and a Dental companies, communicated insights and adviced how to improve web traffic metrics and trends.
Data science artificial intelligence Machine learning Data analysis LLM

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PhD in Nuclear Physics
Joint Institute for Nuclear Research
2013
MSc and BSc in Applied Mathematics and Physics
Moscow Institute of Physics and Technology
2008

Sergei Markochev

Lead Data scientist

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