Logo of Huzzle

Summer Internship 2024 Marketing & Data Science Consultant (2 months)

image

Ekimetrics

Jan 27, 2024

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • £25K
  • London

Requirements

  • We are looking for people who can wear 2 hats – the data scientist and the strategic consultant.
  • Data Skills:
  • Currently pursuing a bachelor’s or master’s degree (or equivalent) in statistics, economics, engineering, or related analytical field;
  • Some prior experience (academic or professional) in data analysis/modelling / advanced analytics;
  • Love of all things data and an extensive knowledge of statistics or applied mathematics;
  • Experience using analytical methodologies to answer questions;
  • Experience with statistical software such as Python or R
  • Consulting Skills:
  • Prior internship in a consulting environment or interest in working as a consultant;
  • Strong interest in Marketing Analytics & business issues;
  • Exceptional written and oral communication skills;
  • Ability to work collaboratively in a team setting;
  • Self-motivated and thrives in a fast-paced environment;
  • Continuously strives for their best;
  • Good sense of humour!
  • Additional Requirements:
  • Students in their penultimate or final year or very recently graduated.
  • Must be able to work onsite in London, UK; 2-3 days a week in the office
  • Must already be eligible to work in the UK, (e.g. UK/Irish passport holder, holds EU settled status, Tier 4/Student visa holder)
  • Must be available between 1st July and 30th August 2024.
  • Must be able to work full-time (40 hours a week)

Responsibilities

  • Data Analysis and Model Construction:
  • Utilise advanced statistical and machine learning techniques and best data practices to help the team progress through project work;
  • Develop a logical story combining data and industry knowledge to share actionable insights that will drive our clients' businesses.
  • Strategic Partnerships with Clients:
  • Gain a deep understanding of client’s business context and experience.
  • Deliver findings and battle plans with excellence and confidence.
  • Provide ad-hoc analyses that further develop projects and client relationships by parameterising the business questions.
  • Ekimetrics R&D:
  • Support our fast growth by contributing to the development of new methodologies and offers.

Application Process

  • Online technical test (HackerRank) 45 minutes to 1 hour.
  • HR Interview & Introduction to Ekimetrics 15-30 minutes.
  • Assessment with a consultant - 45 minutes to 1 hour.
  • Case study & final assessment - 45 minutes to 1 hour.

Ekimetrics is a pioneering leader in data science and AI-powered solutions for sustainable business performance

Technology
Industry
201-500
Employees
2006
Founded Year

Mission & Purpose

Ekimetrics is a pioneering leader in data science and AI-powered solutions for sustainable business performance. We help companies get more from their data and implement pre-packaged AI solutions, so they can combine high impact with long-term business purpose. A focus on impact – steered by purpose Ekimetrics works with many of the world’s leading businesses to accelerate their transformation to sustainability through the application of data science and artificial intelligence. We are uniquely specialized in creating scalable data and analytics solutions that drive high-impact optimizations in alignment with overarching brand strategy and sustainability goals. Our goal: Enable our clients to pursue practical short-term gains combined with long-term value creation. Since 2006 we’ve pioneered the use of AI and advanced data science applied to unified marketing measurement, holistic business optimization and broad-ranging sustainability goals. In particular, we’ve specialized in using its strengths in balancing multiple constraints in order to reconcile financial KPIs with non-financial goals. A business-first approach to solutions delivery All our 400 data experts and industry specialists work together in integrated squads. We value specific industry and domain expertise and focus on practical solutions in use. This is why we don’t outsource execution: so we can reduce the time to results while maintaining quality, believing in a high-service approach. We maintain our own data science platform, and a collection of pre-packaged solutions that we use to provide insights and to deploy scalable solutions faster. Key figures: 400 data experts 1,000+ data science projects 50+ countries in which we deliver projects 4 offices worldwide