Nils Indreiten
I am a data scientist with over 4 years of experience using SQL, R, Python and data visualisation tools in an enterprise setting. I seek to leverage my skills and experiences to make a positive impact in organisations I share values with.
Skills
SQL, R, Python,Git , Databricks, Spark ,Power BI, Microsoft Excel, Google Analytics, Machine Learning, MicroStrategy, Salesforce Marketing Cloud, Google Data Studio, JavaScript, Arc GIS
Experience
Data Scientist, Danone (October 2025 - Present)
Develop a robust framework for optimising the in-house forecasting system across all product combinations, improving accuracy by lowering MAPE below 10%.
Lead transformation and deployment of business processes with the use of GenAI, particularly within the finance domain.
Embed ML solutions in core business reports. For example promotion uplift prediction, for promotion reporting workflows.
Skills: SQL, Machine Learning, Spark, Python, Git, Databricks, Snowflake
Data Analyst, Danone (May 2023 - October 2025)
Develop data pipelines and revamp financial reports, tracking hundreds of millions of pounds in sales across the UK SKU portfolio.
Lead establishment of data science capabilities in the data analytics team, with platforms like Databricks and Snowflake.
Collaborate with stakeholders to generate new data projects and align with analytics workflows, with the view to enhance decision making.
Develop a scalable sales forecasting system, with the aim of forecasting volumes sold across the Danone portfolio.
Skills: SQL, Power BI, R, Python, Git, Databricks, Snowflake
Analyst, Sainsbury’s (June 2022 - May 2023)
Regularly maintain and update 4 main end-to-end reporting pipelines, for dissemination to over 20 stakeholders.
Develop an average of 2 to 3 analysis plans per financial period, with the aim of driving customer loyalty and commercial value.
Set up automated weekly reports to improve process efficiencies, saving up to 5 hours a week.
Build strong relationships with stakeholders to maximise value creation, forecasting and curating data selections for campaigns with budgets ranging from £20,000 to £2,000,000.
Engage in stakeholder dialogue to develop novel reporting pipelines, increasing reporting capabilities by 20%.
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 Dashbaord
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
Education
MSc Consumer Analytics and Marketing Strategy, Univeristy of Leeds (Jan. 2021 - Jan.2022)
Modules
Geographic Data Visualisation & AnalysisPredictive AnalyticsDigital Interactive MarketingMachine Learning in PracticeBig Data and Consumer AnalyticsApplied GIS and Retail ModellingMarketing 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 MarketingMarketing ResearchOperations and Supply Chain ManagementAccounting for ManagersConsumer Behaviour
Dissertation: The Effect of Congruity on Consumer Evaluation of Plant-based Eggs