Nils Indreiten

Data Scientist, Danone

October 2025 - Present

• Architecting ML optimisation framework for the in-house forecasting system covering 10,000+ combinations, implementing hyperparameter tuning and automated model selection to achieve less than 10% MAPE, while establishing MLOps best practices including MLflow experiment tracking and model versioning on Databricks.
• Leading GenAI transformation initiative in Finance domain, developing LLM-powered automation tools for report generation, financial analysis, and process optimisation using multi-compound agent systems built with LangChain and MLflow.
• Deploying production ML models integrated into core business workflows, including promotion uplift prediction models serving batch recommendations for £200M+ annual revenue streams.

Skills: SQL, Machine Learning, Spark, Python, Git, Databricks, Snowflake

Data Analyst, Danone

May 2023 - October 2025

• Built a scalable time series forecasting system using the Nixtla Python library on Databricks, achieving 10% MAPE across diverse product categories, processing 100K+ data points daily and serving as technical lead establishing deployment best practices.
• Engineered production data pipelines and revamped financial reporting infrastructure tracking £200M monthly sales, reducing report generation time by 40% through optimised SQL queries and automated workflows on Databricks.
• Developed interactive dashboards in Power BI for executive stakeholders, enabling data-driven decision making across commercial and finance teams.

Skills: SQL, Power BI, R, Python, Git, Databricks, Snowflake

Analyst, Sainsbury's

June 2022 - May 2023

• Developed predictive models for customer segmentation and campaign targeting using Python and SQL, supporting marketing initiatives with budgets ranging from £20K to £2M and driving measurable ROI improvements.
• Built automated reporting pipelines that increased team analytical capabilities by 20%, enabling faster insights delivery to commercial stakeholders.
• Executed 2-3 comprehensive analysis plans per financial period, combining statistical modeling with business intelligence to identify customer loyalty drivers and commercial opportunities.

Notable Project: Productionised a segmentation of the Argos customer base according to RFM principles

Skills: SQL, PyCharm, R, R Studio, Statistical Modelling, MicroStrategy, GitHub

CRM Analyst, The Gym Group

Nov. 2021 - May 2022

• Maintained and improved the Salesforce Marketing Cloud data model, increasing decision and analytical capabilities by 10%.
• Developed 2 CRM performance dashboard to monitor engagement KPIs, such as open rate, click through rate etc.
• Ran 3 analysis pipelines on always-on CRM activity, improving and optimising campaign incrementality by 1-2%.
• Performed exploratory data analysis and identified new opportunities for an upsell program targeting tens of thousands of customers depending on their standard deviation from average activity.

Notable Project: Exploring and predicting customer conversion - A CRM oriented approach

Skills: Salesforce Marketing Cloud, Google Analytics, Google Data Studio, SQL, R

Data Analyst, ProVeg International

May 2021 - Oct. 2021

• Developed bespoke reports on plant based consumption trends of more than 5 European countries, as input into the Smart Protein project under the EU Horizons 2021 framework.
• Disseminated analysis pertaining to Pan-European plant-based consumption habits, to more than 3 key stakeholders in the EU Horizons framework.
• Suggested and tested 10 alternative hypothesis to understand consumer attitudes towards plant-based food products.

Notable Project: Plant-based foods in Europe: How Big is the Market

Skills: Google Sheets, Microsoft Excel, IBM SPSS

Data Analyst, The National Food Strategy

Feb. 2021 - May 2021

• Provided analytics capabilities to The National Food Strategy work on reformulation stimulation, by wrangling and modelling scanner datasets containing millions of rows.
• Engaged with more than 5 key stakeholders, to improve contributions to part two of The National Food Strategy.
• Delivered 2 key reports on use cases for reformulating the existing taxation scheme in the UK.

Notable Project: The National Food Strategy

Skills: Food Policy, Research, Microsoft Excel, R

Food Systems Analyst, The World Food Programme

June 2020 - Dec. 2020

• Established links and relations with the focal points of the Agrarian University of Yerevan, with the aim of improving reporting of food value chain projects.
• Coordinated the Food Security sector group meetings in response to COVID-19 and other humanitarian crises, targeting 54,000 beneficiaries and delivering food assistance to more than 18,000 people in need.
• Identified and set up projects with 5 partners, to implement food value chain pilot initiatives.

Notable Project: Armenia: 5W Food Security Dashboard

Skills: Microsoft Excel, Microsoft Powerpoint, Food Policy, Arc GIS

E-commerce Developer, Homeland Development Initiative Foundation

June 2018 - Oct. 2018

• Revamped the existing digital marketing and e-commerce strategies by relaunching 2 main digital sales channels.
• Developed e-commerce value chains adhering to the 10 Fair Trade principles.
• Supported and advised product development for more than 5 new product categories.

Notable Project: Re-launched the HDIF Armenia E-commerce channels

Skills: Fair Trade, Google Analytics

MSc Consumer Analytics and Marketing Strategy, University of Leeds

Jan. 2021 - Jan. 2022

Modules

• Geographic Data Visualisation & Analysis
• Predictive Analytics
• Digital Interactive Marketing
• Machine Learning in Practice
• Big Data and Consumer Analytics
• Applied GIS and Retail Modelling
• Marketing Strategy

Thesis: Differences in Satisfaction with Plant-based Products- A Pan European Approach

BA, Management with Marketing, University of Leeds

Sept. 2017 - July 2020

Modules

• Fundamentals of Marketing
• Marketing Research
• Operations and Supply Chain Management
• Accounting for Managers
• Consumer Behaviour

Dissertation: The Effect of Congruity on Consumer Evaluation of Plant-based Eggs