National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data analyst

Palta
London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Palta is a multi-product tech platform developing several mobile apps focused on health and well-being with a combined audience of more than 60 million monthly active users. Our portfolio includes such successful companies as Flo (global leader in female health), Simple (a nutrition and wellness app with over 15m downloads), Zing (personal fitness trainer), and more. 
The rapid portfolio growth was fueled by the recently raised $100 million Series B round led by VNV Global, and the group’s revenue is currently sustainably growing 50% YoY.

Simple is a successful mobile product that has a user base of over 15 million people and has over 100% year-over-year revenue growth. It helps people improve their nutritional habits through personalized programs, meal tracking, and health insights, which allows them to lead healthier and happier lives.Now, we are taking the next big step and working on a new revolutionary AI product that helps each person improve their health in a fun and engaging way.

We are looking for a talentedData Analyst, who will play a key role in enhancing and refining our CRM activities, with a special focus on financial aspects such as channel costs, subscriber acquisition, and product goals. Your role involves using data insights to enrich customer interactions, craft targeted email marketing strategies, and ensure our CRM tools are utilized effectively. 

Push the pace of innovation and build a future of a healthier world with us!

Your responsibilities will include:

Identifying trends, patterns, and insights that help to shape business decisions; Creating and sharing reports on customer behavior, revenue performance, and the success of our campaigns; Monitoring and tracking important team metrics and KPIs; Help the team in conducting AB tests; Improve analytical infrastructure by contributing to data marts and self-service instruments; Working closely with our development team and other departments to ensure seamless CRM system integrations and updates; Troubleshooting and resolving any data-related issues our team might encounter.

What we look for:

A critical thinker mindset with the ability to structure and test numerous hypotheses quickly and efficiently, to validate the raw data comparing different sources; A rapid learner mindset, capable of diving into new ideas, areas and data sources quickly; Ownership mentality, demonstrating a proactive approach to achieving team business goals and OKRs; Excellent communication skills, ability to collaborate effectively with cross-functional teams and communicate insights to stakeholders at all levels; Technical skills: proficiency in SQL, Python, BI (Looker/Superset or similar platforms), mathematical statistics; Experience in subscription based products as a plus.

Perks and benefits: 

Competitive salary package commensurate with experience, plus stock options; In-office, hybrid work and remote opportunities; Relocation package (Cyprus); The equipment you need to do your job; A premium Palta Family subscriptions (Simple, Flo, Zing etc.); 21 days annual leave, plus bank holidays; Support to learn English, should you need (or want) to. 

Please read our privacy notice in respect of your application 

Please note that your personal data will be stored for one year, as reasonably necessary to resolve any disputes within the hiring process, if any occur.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.