Data Scientist

Job Opportunity: Data Scientist

Performance Intelligence Startup · Remote-first · England or Spain

£45,000 – £60,000 depending on experience

This is a really exciting opportunity with a fast-growing performance intelligence startup with a genuinely clever concept — think elite sports coaching, but applied to the workplace. The company helps employees, teams, and organisations reach peak performance by uncovering the root causes that hold people back, delivering personalised, data-driven insights and actionable solutions.

They drive measurable business impact across things like sales growth, AI adoption, employee retention, burnout reduction, and risk management. It is, in short, a platform that takes data seriously and actually does something useful with it. Refreshing, right?

The company is building toward an agent-first platform where AI becomes the primary interface for users — and they are looking for a talented Data Scientist to help make that a reality.

(No, you won't just be cleaning CSV files for eternity — though fair warning, some of that is inevitable in any data job.)

This is a hands-on, high-impact position where the successful candidate will:

• Build, train, and deploy machine learning models — from exploratory analysis through to production-ready solutions that power the platform. Real models, in the real world. Not just PowerPoints about models.
• Develop and deploy AI agents using Databricks, Google AI Studio and/or Azure AI Foundry. These agents are the primary user interface for the product — so this is genuinely central to what the company does.
• Apply statistical rigour to psychometric and survey data, validating the company's proprietary measurement framework and identifying correlations that drive actionable insights.
• Advance analytical capabilities beyond aggregation — into predictive modelling, deep learning, and generative AI applications. The ambition is there; they just need the right person to execute it.
• Work closely with the CTO and tech team to integrate models into the platform. Collaboration is key — this is not a lone-wolf role.
• Translate complex findings into clear, actionable insights for product decisions and client-facing reports. The ability to explain results to non-technical stakeholders is genuinely valued here.

The must-haves (non-negotiable, unfortunately — they checked):

• 2–4 years of hands-on experience in data science, machine learning, or applied statistics.
• Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar.
• Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design.
• Experience with SQL and data manipulation at scale.
• Comfortable with ambiguity and working independently in a fast-moving startup environment. This is not a company with 47 layers of sign-off. Decisions happen quickly.
• Professional English proficiency (B2+ level).

Bonus points — none of these are dealbreakers, but they would make a hiring manager very happy:

• Experience with GenAI, LLMs, SLMs, prompt engineering, or agentic AI workflows. Given the direction of the product, this is increasingly relevant.
• Cloud AI platform experience — GCP, Azure, Databricks, or similar.
• Startup experience. You know what wearing multiple hats feels like, and you didn't hate it.
• A background in behavioural science, organisational psychology, or psychometrics — the company works heavily with survey data and measurement validation.
• Spark, Databricks, or distributed computing experience.
• Published research or an academic background in statistics, ML, or a quantitative field.

• Salary of £45,000–£60,000 depending on experience, with bi-annual salary reviews.
• Remote-first, flexible working environment. The company trusts its people to get the job done.
• A genuine opportunity to join a high-potential startup at an exciting stage and directly influence the product, technical direction, and culture.
• High ownership — ideas actually get built here, rather than disappearing into a backlog black hole.
• A high-growth career trajectory as the team and product scale.
• A team culture that values passion, autonomy, continuous learning, and collaborative problem-solving. Small egos encouraged.

Valencia, Spain or East Midlands, England is preferred — but the company is open to candidates across England or Spain. The role requires willingness to meet in person once a month (and more as needed). Worth it for the Valencia weather alone, frankly.