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

Nominate & Attend

Senior Data Scientist

Palta
Greater London
7 months ago
Create job alert

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.

Simpleis 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 talentedSenior Data Scientistwho will join our team to ensure the quality and continuous improvement of our technologies.

Responsibilities:

Develop and deploy machine learning models to production, utilizing modern data science techniques to solve business challenges, create services, and monitor pipelines; Collaborate with development, analytics, and business teams to understand their needs and requirements.

Requirements:

4+ years of experience in Data Science; Strong proficiency in machine learning algorithms; Expertise in at least one machine learning domain (e.g., recommendation systems, tabular data and “product” ML such as LTV, dynamic pricing, time-series analysis, reinforcement learning); Solid understanding of ML system design and architecture; Extensive experience with Python, core ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn), SQL, Git, and Docker; Strong problem-solving skills, attention to detail, and a commitment to delivering high-quality work; Ability to work with large language models (LLMs), including writing prompts, creating functions, and fine-tuning models when necessary; Results-driven and impact-oriented mindset.

Preferred:

Experience with Go (Golang) programming.

Perks and benefits: 

Competitive salary package commensurate with experience, plus stock options; The equipment you need to do your job; A premium Palta Family subscriptions (Simple, Flo, Zing etc.); 21 days annual leave, plus bank holidays; Office in Limassol (Hybrid Work Format) or Remote Option for Candidates Residing Outside of Cyprus.

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.

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist (GenAI)

Senior Data Scientist - Consumer Lending

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 Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

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

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.