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teamtailor

Core Data Scientist

Optima Partners
Edinburgh, GBR
Full-time
Mid
Hybrid
Discovered 1 months ago
PythonRLarge Language Models

Full Job Posting

About us

Optima Partners is a fast‑growing professional services firm helping leading organisations transform customer engagement at the intersection of marketing, technology and data. We work with major brands including Lloyds Banking Group, NatWest, Nationwide, Aviva, Virgin Media O2, BT, Centrica, and GSK. As we scale from 80 to 200 people we’re growing our Advanced Data team.

We are collaborative, curious and focused on delivering practical insight that helps organisations make better decisions and grow sustainably. You will join a practitioner-led business with a strong data science community, working alongside people who are passionate about applying analytical thinking to real-world business problems.

About the role

As a Core Data Scientist , you will be a technical specialist who develops and implements ML models that deliver meaningful value for our clients. You will work closely with stakeholders to understand business challenges, translate requirements into analytical solutions, and turn complex outputs into clear, actionable insight.

This is a great opportunity for a passionate data scientist to build their career across multiple commercial sectors, contribute to multi-disciplinary project teams and play an active role in a growing data science practice.

What you will be doing

Developing and implementing machine learning and statistical models to solve practical business problems

Working with stakeholders to understand objectives, shape analytical approaches, and communicate findings effectively

Translating technical outputs into clear, transparent, and actionable recommendations to support decision-making

Exploring data, testing hypotheses, and identifying opportunities to create customer and commercial value

Collaborating with teams across data science, engineering, strategy, and design to deliver high-quality outcomes

Keeping up to date with emerging data science techniques, including practical applications of Large Language Models

What we would like you to have

Strong academic background in mathematics, statistics, science, engineering, or another numerate discipline

Minimum 2:1 degree in a STEM subject, with a postgraduate qualification in a quantitative field considered beneficial

Good knowledge of statistics, including experimental design, uncertainty quantification, and predictive modelling

Experience with supervised and unsupervised machine learning techniques, ideally in a commercial environment

Proficiency in Python and/or R, with the ability to quickly learn new tools and approaches to operationalising data science solutions

Ability to communicate complex analysis clearly to audiences with both technical and non-technical backgrounds

Inquisitive mindset, strong problem-solving skills, and the ability to work independently or as part of a small team

Awareness of commercial value drivers such as revenue, cost, profitability, and customer behaviour is advantageous

· A strong academic background in maths, statistics, science, engineering or another numerate discipline.

Why join us

At Optima, you will work on varied, meaningful projects for well-known organisations while continuing to develop your technical expertise. You will be part of a supportive data science community with a strong culture of continuous learning, knowledge sharing and collaboration.

You will have the opportunity to apply your skills across different sectors, learn from experienced practitioners and build a career path with clear opportunities for development and progression.

What’s on offer

Competitive salary + bonus up to 15%

37 days holiday (incl. Christmas shutdown)

Private medical insurance, life & income protection

Pension scheme

1,000+ employee perks

Dedicated learning, training, and certification support

If you’re ready to build your career in a practitioner-led consultancy where data science is applied to meaningful, real-world problems, we’d love to hear from you.

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