At a Glance
- Tasks: Lead AI projects, analyse client needs, and deliver innovative tech solutions.
- Company: Join Hitachi Solutions, a global leader in digital transformation and AI consultancy.
- Benefits: Enjoy competitive pay, flexible work options, and a culture of continuous learning.
- Other info: Collaborative environment with excellent career growth opportunities.
- Why this job: Make a real impact by revolutionising businesses with cutting-edge AI technologies.
- Qualifications: Experience in AI, data science, and strong programming skills required.
The predicted salary is between 72000 - 88000 £ per year.
Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Goldpartnerand Cloud Services partner, specialisingin end-to-end transformation.
As a global consultancy firm working across the private and public sectors, wespecialisein Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisationand Data & Analytics.
Our highly skilled teamhelpdrive improvements, creating efficiency and growth withinorganisations.
We are committed to Microsoft technologies, with a mission torevolutionisemodern businesses.
To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.
Bepart of our Hitachi family
We place value on collaboration, open communication, and transparency.
Weemphasisethe importance of team spirit, cohesion, and appreciation -and through our talented people, innovative culture, and technical and businessexpertise, we deliver game changing outcomes every day.
Our learning culture and flat hierarchy are our recipes for success.
But don't take our word for it -have a look at what our employees are saying: Hitachi Solutions Bulgaria
Job Description
- Key Accountabilities
- Accountable for providing hands-on technical knowledge, while managing client relationships within the project context.
- Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution.
- Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards.
Key Responsibilities
- Capture client requirements and lead the development of solution architectures that meet both current and future business needs
- Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions.
- Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation.
- Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI).
- Explore and Analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Foundry
- Implement data pipelines and workflows to automate and operationalize machine learning and Gen AI solutions using tools such as Azure ML Pipelines, Azure Dev Ops.
- Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights.
- Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed.
- Communicate and present findings and recommendations to stakeholders and customers.
- Key Performance Indicators
- Solution delivery to the agreed standard of quality
- Solution delivery to the agreed budget and timescales.
Qualifications
- Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services
- Demonstrable experience in data science, machine learning, or a related field.
- Proficiency in Python, SQL, or other programming languages for data analysis, machine learning and Gen AI.
- Experience with cloud platforms and services, preferably Azure, for data science and machine learning
- Experience with one or more generative AI and LLM frameworks and tools.
- Experience with machine learning concepts and techniques.
- Experience with data visualisation and storytelling tools and techniques.
- Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices.
- Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks
- Excellent communication, collaboration, stakeholder management, and problem-solving skills.
- Familiarity with the Microsoft Copilot stack, including Copilot Studio
- Microsoft
Certified: Azure AI Cloud Developer Associate (AI-200), Machine Learning Operations Engineer Associate (AI-300) or Agentic AI Business Solutions Architect (AB-100) is a plus
- Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus.
- Additional Information
- What You'll Bring
You are enthusiastic, curious and eager to build a career in consulting and change management.
You enjoy working with people, communicating ideas clearly and helping organisations successfully adopt new ways of working.
You'll demonstrate
A positive and proactive attitude.
Strong collaboration and team-working skills.
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
Policy located at Privacy policy (hitachi-solutions. co. uk)
Beware of scams
Our recruiting team may communicate with candidates via our @hitachisolutions. com domain email address and/or via our Smart Recruiters (Applicant Tracking System) notification@smartrecruiters. com 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.
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply
Lead AI Consultant employer: Hitachi Solutions
Hitachi Solutions Europe is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to thrive as a Senior Azure Full-Stack Architect. With opportunities for professional growth through mentorship and cross-team collaboration, you will be part of a dynamic team dedicated to delivering transformative technology solutions across Europe. Enjoy the flexibility of remote work while contributing to cutting-edge projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Consultant
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hitachi Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead AI Consultant at Hitachi Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hitachi Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI Consultant at Hitachi Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead AI Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hitachi Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hitachi Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hitachi Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hitachi Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
