Associate Data Scientist
So, who are we?
IG is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses. The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG – the future gets built here.
Your team
Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for an associate data scientist to work in our Data Science team.
The team works across the data science lifecycle, combining deep analysis, experimentation and advanced machine learning to drive measurable business impact. You will work closely with Senior Data Scientists & stakeholders across marketing, risk, product and operations to turn complex problems into actionable insights and scalable data products.
Your role in the Team's Success
Data Science is fast‑growing at IG and we are continuously refining how it delivers value to the business. Demand for our work is high, and we are on a journey to move from isolated use‑cases toward consistently delivering high‑impact insights, experimentation and models that influence decision‑making at scale.
What you'll do
- Work on high‑impact data science projects, from problem framing and exploratory analysis through modelling, experimentation and working with colleagues to deploy to production
- Build predictive models which enables IG to better understand it’s clients
- Apply statistical analysis and experimentation (e.g. A/B testing, causal inference) to generate insights that inform product, commercial and risk decisions
- Learn from Senior Team members with strong Technical and Business expertise
- Explore a wide variety of structured and unstructured data spanning client, operational and financial domains to identify opportunities for data science to add value
- Learn to build and evolve advanced data products & insights using state‑of‑the‑art techniques, including recommendation systems, ensemble methods, NLP and text analytics, time‑series forecasting, predictive analytics, and generative AI use‑cases
- Monitor model quality, design experiments and track against hypotheses
- Advance the use of AI within IG by combining strong analytical foundations with modern machine learning approaches
- With support from the team, learn to work closely with stakeholders to translate business questions into clear analytical hypotheses, measurable outcomes and practical solutions
The Perks
Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.
- Competitive salary
- Flexible Benefits Package on top of your salary (12%)
- Private medical cover for you and your family
- Life insurance
- Contribution to gym memberships
- 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total)
- The option to buy or sell holiday days
- Unlimited access to the LinkedIn Learning Platform
- A comprehensive global and local onboarding process
- Employee-led LGBTQ+, Women’s, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture
- Option to participate and create ESG initiatives based on IG Brighter Future Fund
- Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
What you'll need for this role
You are a thinker who enjoys tackling ambiguous problems. You should have:
- Some experience using Python and ideally SQL
- A core understanding of Mathematics & Statistics, and how those concepts can be used to build predictive models
- Strong quantitative skills, typically evidenced by a degree in Mathematics, Statistics or Engineering (usually at 2:1 level or above) or through equivalent professional experience
- A keen interest in problem solving
- The ability to communicate analytical concepts clearly and effectively to non‑technical stakeholders
- Some experience in generating insight from complex, imperfect and large‑scale data sources
- The ability to think on your feet. IG is moving at pace and our data and working environment is not always perfect. You need a hunger to succeed despite that
