2025 Summer internship, Data Analyst & Marketing consultant, London

London – 2025 Summer internship, Data Science & Marketing Analytics Consultant

Closing date 31st January. We retain the right to close applications early.

Ekimetrics UK

Job Description

About Ekimetrics        

Ekimetrics is a leader in data science and AI, specialising in marketing performance and business optimisation since 2006. Weve pioneered the use of AI to drive sustainable growth, helping companies across industries like retail, banking, luxury fashion, insurance and many more to maximise their data potential.

Our goal: Combine high-impact AI and data science solutions for sustainable business performance.

Our approach combines cutting-edge technology with a deep understanding of business challenges, ensuring that our solutions not only meet current needs but also pave the way for future innovations. At Ekimetrics, your work will directly contribute to shaping the future of data-driven decision-making in a sustainable, ethical manner.

📊Key figures about Ekimetrics

• 400+ data science experts globally

• 1000+ diverse projects for more than 350+ clients

• 4 offices: Paris, Hong Kong, London and New York

• UK data company of the year 2023

• Voted Great Place to Work 2023

• Microsoft’s sustainability partner

• Voted as a leader in “Marketing Measurement and Optimization” by Forrester wave 2023

About the Role

As an Eki Intern, you will work alongside Eki Consultants on challenging projects with international clients across diverse industries.

We aim to make your experience with us as close to real life as possible so that you get a true and realistic idea of who we are, the work we do and the kinds of projects you can expect to work on as a data science consultant. So, from day one, you will be collaborating on client and R&D projects, and getting involved with Eki life, and as both a data scientist and consultant, you will use and develop advanced data analytics and consulting skills throughout your time with us.

You'll also take on a small research project of your choosing, allowing you to use the knowledge you have gained to model, analyse and present business insights to the management at Ekimetrics.

From discovery meetings to final recommendations, responsibilities include:

·        Gathering analysing and validating data

·        Building statistical machine learning models and econometric models with media and non-media drivers

·        Translating quantitative insights into strategic recommendations to deliver results.

The projects will push you to create innovative approaches as an owner of your projects and our close-knit team will guide your growth to build expertise on best-practice methodologies and industry knowledge. Each member of our team takes a vested interest in the development of your technical skills and business acumen.

Our team members continuously learn and grow through training sessions and collaboration with colleagues as coaches and mentors. And, finally, the opportunity to work for a growing, international pioneer in data science, will empower you to have an immediate impact by contributing to our passionate team.

Job Responsibilities

1. Data Analysis and Model Construction

·        Utilise advanced statistical 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.

·        Advanced analytics and modelling, including MMM, unified measurement, testing, segmentation, behavioralsciences, forecasting and other statistical techniques.

·        Work with different tech such as Python, Pyspark, Internal modelling tools, Git, Jira, Databricks, VS code, Panda Api, Decorators,

2.  Strategic partnerships with clients

·        Gain a deep understanding of clients’ 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.

3.  Ekimetrics R&D

·        Support our fast growth by contributing to the development of new methodologies and offers.

·        Undertake an individual research project, enhancing your learning by applying new knowledge in a practical setting, and presenting insights to management.

About You

We are looking for people who are able to wear 2 hats – the data scientist and the strategic consultant.

1. 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 or ML

·        Love of all things data and an extensive knowledge in statistics or applied mathematics

·        Experience using analytical methodologies to answer questions

·        Experience with statistical software such as Python or R (We use python internally)

2.  Consulting Skills

People are at the centre of who we are at Ekimetrics, so as well as excellent technical skills, it’s important that you also have the following:

·        Prior internship in a consulting environment or interest in working as a consultant

·        Strong interest in marketing & business issues

·        Exceptional written and oral communication skills

·        Ability to work collaboratively in a team setting

·        A demonstrated ability to manage multiple projects effectively

·        Self-motivated and thrives in a fast-paced environment, Continuously striving for their best

·        Good sense of humour!

3.  Additional Requirements:

·        Students in their penultimate or final year of study.

·        Must be able to work onsite in London, UK.

·        Must have full right to work in the UK.

·        Availability required from June 30th to August 29th, 2025.

·        Must be able to work full-time (up to 40 hours per week).

Working for Eki

Working for Ekimetrics is a lot of fun! We have clients across multiple industries and are constantly looking to innovate and explore new ways of doing things. Our London team consists of ~75 people and are predominantly Data Science Consultants. We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics’ success.

As well as an opportunity to join a driven, energetic, and highly innovative team, we also offer the following:

·        Paid internship £25,000 (prorated) + 4 days holiday.

·        Hybrid and flexible working (3 days in office, 2 at home)

·        Opportunity for a full-time job offer

·        Regular socials and events

·        An emphasis on work-life-balance and a strong company culture

·        A creative and entrepreneurial environment

·        Develop a dual profile in data science and strategic consulting

·        Global company knowledge sharing, Unique training programs, certifications and learning opportunities.

Our recruitment 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.

Interviews will commence In February after the closing date. 

Any questions please contact recruitment.uk@ekiemtrics.comAt Ekimetrics, we believe our best assets are our people - they are what set us apart and drive our success. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values which serve as pillars in our work and attitude.

Our Ekimetrics’ values: Curiosity, Creativity, Excellence, Transmission and Pleasure.

Ekimetrics is an equal opportunities employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law.,