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Senior Manager - Data Science

TN United Kingdom

London

Hybrid

GBP 60,000 - 100,000

Full time

27 days ago

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Job summary

An established industry player is seeking a Senior Manager for their Data Science team in London. This role focuses on driving top-line growth through advanced analytics and machine learning. You will lead a talented team of data scientists and analysts, developing strategies that optimize customer journeys and enhance data-driven decision-making. The position offers a hybrid work model, allowing flexibility between office and remote work. Join this innovative firm to make a significant impact on pricing strategies and operational efficiencies while enjoying a supportive corporate culture that fosters growth and development.

Benefits

Hybrid work model
Extensive training curriculum
Holistic feedback and development processes
Focus on wellbeing

Qualifications

  • Significant experience in advanced analytics and data science.
  • Strong programming skills in Python and experience with ML models.

Responsibilities

  • Lead the Advanced Analytics team and develop analytics strategies.
  • Oversee the design and deployment of analytics models.

Skills

Python
Advanced Analytics
Machine Learning
Data Visualization (Tableau, PowerBI)
Data Management (SQL, Snowflake, Databricks)
Communication Skills
Entrepreneurial Spirit

Education

Degree in a quantitative field (e.g. Computer Science, Data Science)

Tools

Tableau
PowerBI
SQL
Snowflake
Databricks
Git
Jira

Job description

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Simon-Kucher is aglobal consultancy with more than 2,000 employees in 30 countries. Our solefocus is on unlocking better growth that drives measurable revenue and profitfor our clients. We achieve this by optimizing every lever of their commercialstrategy – product, price, innovation, marketing, and sales – based on deepinsights into what customers want and value. With nearly 40 years of experiencein monetization topics of all kinds, we are regarded as the world’s leadingpricing and growth specialist.

This is an exciting opportunity to bepart of the Data Science team in our London office, predominantly focused onprojects in the UK and the Netherlands. We work collaboratively with allparts of Simon-Kucher, and you will have the opportunity to work on projectsincluding market reviews, revenue growth, pricing, marketing efficiency anddigital strategy.

How you will create impact:

As a Senior Manager inthe Data Science team at Simon Kucher, you will be anintegral part of the project teams working to drive top-line growth for ourclients. You will be responsible for:

Leadership and Strategy

  • Lead and expand the Advanced Analytics team, managing a group of data scientists, analysts, and data engineers
  • Develop and execute a clear analytics strategy aligned with the company’s objectives, focusing on customer journey optimization
  • Advocate for data-driven decision making across the organization, enhancing data literacy at all levels

Analyticsand Insights

  • Oversee the design and deployment of sophisticated analytics models to deepen understanding of pricing response, customer behaviors and business dynamics
  • Implement advanced machine learning and statistical techniques to predict trends and improve operational efficiencies
  • Provide actionable insights and recommendations to senior stakeholders for strategic decisions

Collaborationand Influence

  • Work closely across all industries to support analytics activities into all facets of the business
  • Support client IT teams to embed and enhance data architecture and data warehousing, ensuring delivery of robust, scalable solutions

Performanceand Reporting

  • Monitor key performance indicators (KPIs) and report on the impacts of analytics initiatives
  • Continuously evaluate the effectiveness of data tools and methodologies, recommending improvements when necessary

Your profile:
  • Degree in a quantitative field, such as computer science, engineering, statistics, operational research, data science, or equivalent experience
  • Significant experience in advanced analytics and data science, working in a commercial application or in consulting
  • Strong programming skills in Python
  • Experience in developing ML or statistical models in the field of pricing (e.g. price elasticity modelling, revenue management, dynamic pricing)
  • Experience applying advanced analytics and Machine Learning to solve business problems
  • Experience with data visualization software (e.g. Tableau, PowerBI)
  • Experience in data management software (e.g. SQL, Snowflake, Databricks)
  • Open to learning new technologies and strategies to always stay up to date
  • Motivation to build high performing teams
  • Strong written and verbal communication skills, ability to simply and concisely explain complex analytical topics
  • Entrepreneurial spirit—we are a fast-growing team with vast opportunities for growth

In addition, these areas of knowledge andexperience would really make your application stand out:

  • Implementation experience with Machine Learning models, and emerging state of the art large language models would be an advantage
  • Knowledge of cloud-based solutions on any of the large providers (Azure, GCP or AWS)
  • Familiarity with collaborative software tools (Git, Jira, etc.)
  • Knowledge of with user interface applications (React, Java-script, etc.)
  • Domain expertise in pricing, demand forecasting, or time-series modelling would be an advantage
What we offer:
  • Work within a corporate culture defined by our entrepreneurial spirit, openness, and integrity
  • Broaden your perspective with our extensive training curriculum and learning opportunities
  • Push your development with support from our holistic feedback and development processes
  • Hybrid work, mixing your work location between our London office, client sites, and the option to remote work for an element of your time
  • Enjoy our range of benefits and our focus on your wellbeing

Does this sound like you? Let's connect. Simply press the 'Apply now' button. Your application should include a cover letter defining your fit with the role and your CV.

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