At a Glance
- Tasks: Lead AI projects, analyse client needs, and develop innovative tech solutions.
- Company: Join Hitachi Solutions, a global leader in digital transformation and AI consultancy.
- Benefits: Enjoy competitive pay, bonuses, pension plans, and a strong work/life balance.
- Other info: Flexible remote work with excellent career development opportunities.
- Why this job: Make a real impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: Experience in data science, machine learning, and proficiency in Python or SQL required.
The predicted salary is between 72000 - 88000 £ per year.
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.
We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation. Our learning culture and flat hierarchy are our recipes for success.
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.
We are growing our consulting team and looking for Lead AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family.
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.
- 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 Machine Learning.
- Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps.
- Run experiments and monitor performance of machine learning solutions using tools such as 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 using tools such as Power BI, Azure Data Explorer, and Azure AI Services.
- Demonstrable experience in data science, machine learning, or a related field.
- Proficiency in Python, SQL, or other programming languages for data analysis and machine learning.
- 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 and Deep Learning.
- 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.
- Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services.
- 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.
- Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus.
- Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus.
Lead AI Consultant in London employer: Hitachi
Hitachi is an exceptional employer that fosters a culture of innovation and continuous improvement, making it an ideal place for professionals passionate about quality management. With a strong commitment to employee development, the company offers numerous growth opportunities and supports work-life balance through its remote working model. Joining Hitachi means being part of a global team dedicated to excellence, where your contributions directly impact customer satisfaction and product quality.
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We think this is how you could land Lead AI Consultant in London
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Lead AI Consultant in London
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, 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. 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
✨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!
✨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.
