Data Science Business Analyst

Mirai Talent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Manager – Gen/AI & ML Projects - Bristol

Data Science Manager Gen/AI & ML Projects

Data Science Manager Gen/AI & ML Projects

Data Science Manager – Gen/AI & ML Projects - Bristol

Data Scientist

Data Scientist

We are on the lookout for a Technical Business Analyst to interpret requirements and identifies relevant data sets for projects being executed within our clients organisation, as well as possess the technical skill and an ability to present and visualise data to provide tangible, actionable insights.

What you’ll be doing:

As a Technical Business Analyst, you’ll work as part of a team of problem solvers with extensive data science and engineering expertise. Your role will be varied and challenging, providing you with an opportunity to work with a variety of stakeholders on multiple projects, products and/or services at any given time across a number of different business entities. 

You’ll collect and correctly interpret data making sure that the right building blocks in place to deliver on its project pipeline. You’ll also be expected to understand business process and clearly articulate those processes into engineering and data science. And of course you’ll present to our stakeholders and have a flair for visual reporting. Working as part of a team of Business Analysts, focussed on the Discovery and Design phases of our Agile delivery framework. Support our Engineering Data Science and Underwriting colleagues, by helping to navigate and convene the capabilities our clients need Analysis of new business propositions including business case development, defining and eliciting business requirements and shaping the scope for delivery Supporting the collaboration and transition of business propositions to practical deliverables for our stakeholders Championing the use of agile and design thinking methods to drive innovation, continual improvement and solve complex problems. Supporting digital transformation programmes aimed at scaling our business through efficiencies and new service offerings.

What you can bring: 

Proven and demonstratable experience in data analysis, python, SQL, database analysis and management and data warehousing Significant technical understanding of business analysis frameworks, benefits management, business processes modelling, requirements analysis, user journey mapping, persona creation, and functional decomposition Confidence in leading the discovery process and designing analytical approaches to suit the nature of the work and environment. Effective communication and presentation skills required. Effective stakeholder management skills to build relationships and collaborate effectively with senior stakeholders. A proactive approach to problem-solving and delivering optimal client solutions, bringing an entrepreneurial approach and mindset to business design Knowledge of advanced analytics, data engineering and and a desire to work in a collaborative, multidisciplinary team is desirable.

What’s in it for you:

Competitive Base Salary Performance Related Discretionary Bonus Holiday: 28 days core annual leave, and you can buy or sell up to 5 days Pension: A minimum 2% employee contribution plus 7% contribution (9%) up to a maximum of 5% employee contribution plus 13% contribution (18%) Private Medical: cover for yourself. Family members/dependants can be added Flex Fund: £1,000 (pro-rated based on start date) to spend on flexible benefits Life Assurance: 10 x annualised base salary

Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both our team and our partners’ teams. This is just one of the ways that we’re taking positive action to shaping a collaborative and diverse future in the workplace.

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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.