Senior Analytics Consultant

Hitachi Solutions, Ltd.
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Science and Analytics Senior Business Analyst

Principal Consultant, Advanced Analytics - Data Science (UK)

Senior Data Consultant

Senior Recruitment Consultant - Data Science

Senior Data Engineering Consultant

Senior Data Engineering Consultant

Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation.As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics.Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer’s offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi.Job Description We are growing our

consulting team

and looking for

Senior Data & Analytics Consultants

to join us on our exciting journey and be part of the Hitachi Solutions family.In this role you will be providing bespoke and cutting edge advanced analytics solutions, bringing significant commercial advantage to some of the UK’s most recognised companies.The successful candidate will draw upon their experience with business intelligence tools and techniques and to advise clients on analytics best practices and deliver analytics capability on time and to budget.The main areas of responsibility are:Advising clients on the best analytics practices and deliver analytics capabilities on time and to budgetCapture client requirements and model data to develop an effective intelligence solution architectureDevelop or design bespoke Business Intelligence & Advanced Analytics solutionsImplement solutions using best practices for the management and transformation of dataDesign and develop effective reports and dashboards to present information in a clear and informative mannerQualifications We are looking for ambitious consulting professionals who combine their technical acumen with a genuine enthusiasm for improving organisations.Strong client facing experience, previously working for a management consultancy or system integratorDemonstrable experience designing or developing advanced business intelligence & analytics solutions using the full Microsoft BI stack (SQL Server, SSIS, SSRS, SSAS)Ability to translate business requirements into technical requirementsDesign & development experience using data discovery tools such as Microsoft Power BI, QlikView, TableauAbility to model and transform data, build ETL solutions and present data in a useful business contextHands-on experience with modern programming languages such as PythonFamiliarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or DatabricksExperience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI componentsExcellent communication and problem solving skillsAll candidates must be eligible for Security Clearance.Diversity and Inclusion at Hitachi Solutions Diversity is the wellspring of our innovation and our growth engine, and we believe that creativity is fuelled by diversity. To be truly user centric, we need to ensure that the teams developing products and services are representative of the communities they serve. Our collective success is achieved by fostering and respecting our employees’ and customer’s individualities coming together as One Team. Hitachi strives to create an environment not only where genders, races, cultures, sexual orientations, and identities can work together, but where the beliefs and views of those participating feel equally represented.Additional Information In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates (“Hitachi”) you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy

Learn more about the general tasks related to this opportunity below, as well as required skills.Policy located at Privacy policy.Beware of scamsOur recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [emailprotected] domain email address regarding your application and interview requests.All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.

#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.

Jobs

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!

Jobs Careers

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.