Data Scientist

Core-Asset Consulting Ltd
Newcastle upon Tyne
1 week ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist/Machine Learning Engineer - RNA Design

Data Scientist - active NPPV3 required

Data Scientist - London

Job Description:

Our client, a leading financial services firm, has a fantastic opportunity for an experienced Data Scientist to join the team on a permanent basis.

In this role you will be supporting the wider business in developing and deploying sophisticated models and analytical workflow, building upon the existing data engineering infrastructure to deliver reliable, high-performance analytics at scale.

With strong communication skills you will work across a number of key internal stakeholders and provide effective solutions to meet emerging business needs.

Skills/Experience:

  • Experienced gained within a professional or financial services firm with proven skills in data science and machine learning methodologies (e.g., regression, classification, clustering, time-series analysis).
  • Strong coding skills with expertise in Python, R and strong SQL
  • Experience working with Microsoft Fabric or Databricks or equivalent
  • Excellent written and verbal communication skills, able to translate complex analytical findings into actionable insights for both technical and non-technical stakeholders.
  • Experience working in cross-functional teams, gathering requirements from business units, and explaining technical concepts effectively.
  • Demonstrates creativity in applying new techniques or technologies to improve model accuracy, scalability, and maintainability.
  • Embraces feedback loops to iterate on models, incorporating new data sources or refinements to maintain relevance and performance.
  • Committed to ethical data use, respecting privacy, security, and compliance regulations.
  • Familiarity with governance frameworks and best practices to ensure models meet organisational and legal standards.

Core Responsibilities:

  • Develop and deploy sophisticated models and analytical workflows within Microsoft Fabric, building upon the existing data engineering infrastructure to deliver reliable, high-performance analytics at scale.
  • Provide clear, data-driven recommendations and predictive models that inform strategic decisions for end client services, external client engagement, optimisations, and operational efficiencies.
  • Identify and quantify opportunities to reduce costs, streamline processes, or increase revenue, using advanced analytics to demonstrate tangible ROI and operational enhancements.
  • Partner closely with product owners, data engineers, and business stakeholders to refine analytical goals, ensuring that insights are integrated into day-to-day operations and product roadmaps.
  • Implement best practices for code management, versioning, and documentation, enabling continuous improvement and easier onboarding for future team members.
  • Advocate for analytics and data-informed decision-making throughout the organisation, promoting the value of advanced models and ensuring that insights lead to meaningful business actions.

Benefits:

  • A highly competitive salary
  • Wider Benefits package

Core-Asset Consulting is an equal opportunities recruiter and we welcome applications from everyone irrespective of age, disability, gender, gender identity or expression, race, colour, ethnic or national origin, sexual orientation, religion or belief, marital/civil partner status or pregnancy.

Job reference:15961

To apply for this vacancy applicants must be eligible to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.