Mid-Level Data Scientists Needed |Financial Services | Guildford Area

Guildford
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Permanent and FTC

BI & Data Analyst - Power BI

Junior / Mid Level Data Engineer - Inside IR35 - SC Cleared

Commercial and Operations Data Analyst

Data Engineer

Fluent Spanish - Senior Business Intelligence Data Analyst

Mid-Level Data Scientists Needed |Financial Services | Guildford Area

Are you a passionate data scientist with a knack for engineering solutions? Our established financial services client is seeking a talented Mid-Level Data Scientist to join their growing Analytics team at their office near Guildford.

About the Role:

Working in a Data Science role you will also perform some Data Engineering and Analysis tasks. You'll help transform complex financial data into actionable insights that drive business decisions. You'll collaborate with cross-functional teams to develop predictive models using a range of Data Science techniques. They are also planning to implement some Generative AI tools that optimize internal operations. They are still early in their Data Science journey and this will be area they are investing over the next few years so need people who can help shame their Data and AI tools.

Responsibilities:

  • Design, develop and implement predictive models and machine learning algorithms including building Gen-AI tools.

  • Build and maintain data pipelines to support analytical workflows

  • Transform raw financial data into structured formats suitable for analysis

  • Create visualizations and reports to communicate findings to stakeholders

  • Collaborate with business teams to understand requirements and deliver solutions

  • Optimize existing models and processes for improved performance

    Requirements:

  • 3+ years of experience in data science using a range of predictive modelling and Machine Learning techniques

  • Strong programming skills in Python and SQL

  • Experience with data engineering concepts and tools (ETL pipelines, data warehousing – they are using SnowFlake)

  • Knowledge of machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow)

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

    Technical Skills:

  • Data manipulation: Pandas, NumPy

  • Data engineering: Snowflake, Apache Spark, Airflow or similar

  • Database management: SQL, NoSQL databases

  • Visualization: Power BI, Tableau, or equivalent

  • Version control: Git

    Salary: £45,000 - £65,000 DOE + good pension contribution + private medical + 25 days holiday + discretionary bonus

    Join their team and help shape business success through data-driven decision making.

    Location: Guildford area, Surrey Work Model: Hybrid (3 days in office, 2 days remote)

    APPLY TODAY for immediate consideration and interview in the next week

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.