Junior MI Analyst

Liverpool
2 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist | London | SaaS Data Platform

Junior Electronics Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Analyst Apprentice (Hiring Immediately)

Junior Data Analyst Apprentice (Hiring Immediately)

To be responsible for data governance, reporting and insights

Key Duties and Responsibilities

Responsibility for the governance and coordination of client reporting

Developing new internal and client reporting solutions, implementing enhancements and carrying out day to day support

Apply consistency of approach to report development and implementation

Work with business users and stakeholders to capture their business requirements as well as designing and providing solutions

Help drive the appropriate use, understanding and interpretation of management information throughout the business

Operate within, and assist in the development of processes and controls for management of information, ensuring change is dealt with in a controlled manner

Work proactively with Business Managers to suggest improved ways of reporting and ensuring consistent data quality

Assistance with firm projects where the Data Services department input is required

Working on data science/analytics projects and providing domain expertise

This list is not intended to be exhaustive and you will be expected to perform other duties and have other responsibilities that fall within the wider remit of the role.

You will also ensure that you consistently comply with the relevant Weightmans and client policies and procedures, and work in accordance with our values.

About You

As the role is varied, we are looking for you to have a flexible approach to the work you do and be able to adapt to different tasks. We also require you to have:

Good time management skills

Display attention to detail and accuracy

Excellent IT skills to include an understanding of Microsoft Excel

Must be a team player

Show initiative and be self-motivated when required to work on own

Strong organisational skills

Why work for us

Weightmans is a Top 40 law firm with offices throughout the UK. Having been recognised as the leading legal employer and 10th overall employer at the annual Britain's Top Employers awards 2024 and achieved record rankings in Chambers UK.

We are proud to be an accredited living wage employer.

Click here to find out more about industry recognition for excellence, through our achievements, awards and accreditations.

The independent research showed "Weightmans provides exceptional employee conditions, nurtures and develops talent throughout all levels of the organisation."

We are truly committed to fostering a culture of equality and diversity, where everyone in the firm is respected and recognised on merit for the work that they do.

We strongly encourage applications from people of all ethnicities, genders, sexual orientations and disabilities. Please let us know if you require any reasonable adjustment at any stage of the application process.

Please feel free to note your preferred pronouns in your application.

Work for a firm where people matter – work for Weightmans – We See the possibility in you.

As well as being immensely proud of the work we carry out for our clients and the culture we provide to our people we offer a wide range of benefits including;

28 days’ annual leave plus bank holidays (pro-rated for part time)

Hybrid working including provision of home office equipment*

Healthcare cover/ Medicash

Pension plan

Life Insurance 4 x salary

Interest free travel loan scheme

Employee Assistance Programme including counselling, legal and consumer advice service

Discounted gym membership

Discounted dental scheme

Cycle to work scheme

Offers & discounts

Great reward and recognition scheme

*there are a small number of roles that cannot be performed from home, your Recruitment Adviser can confirm.

Please note

  • We encourage candidates to speak to us direct/apply direct for the opportunities we have available.

  • Any reference to experience or PQE in our adverts or job descriptions is to be used as a guideline only. We welcome applicants from all backgrounds and with different levels of experience who can demonstrate that they fulfil the requirements of the role.

  • The successful candidate appointed to this role will be subject to our standard background checking process, and any offer of employment made is conditional upon successful completion of those checks. Further details can be obtained from the Recruitment team.

  • We are open to part time/job share applicants.

    Recruitment agencies (PSL /non-PSL)

    Weightmans operates a strict 'preferred supplier list' (PSL) and is committed to working closely with the recruitment agencies that feature on that list. As such, Weightmans does not accept speculative or unsolicited CVs, profiles or any other introductions from both our PSL and non-PSL agencies. If a PSL or non-PSL agency chooses to submit a speculative or unsolicited CV, profile or introduction without instruction from a member of Weightmans’ recruitment team, we will reserve the right to treat the introduction as a gift and contact the candidate directly without accepting or entering into the agency’s terms nor being liable for a recruitment fee.

    Eligibility to work in the UK

    Eligibility to work in the UK will be verified in the final stages of the selection process. All candidates must either already have a right to work in the UK before commencing employment, or meet the Home office criteria for Visa sponsorship. Candidates who require sponsorship should evaluate the Home Office eligibility criteria for a Skilled Worker visa before applying

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 Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

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

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.