Senior Data Analytics Consultant

London (Hybrid)

£60,000 - £75,000 per annum

About Us:

We are a dynamic and forward-thinking AI consultancy, leveraging cutting-edge artificial intelligence and machine learning solutions to drive transformational change across multiple industries.

As a Senior Data Analytics Consultant, you will play a pivotal role in shaping data strategies and leading projects that harness the full potential of AI and analytics. This is an exciting opportunity to work at the forefront of AI-driven data solutions, collaborating with industry leaders and innovative teams to deliver impactful results.

Key Responsibilities:

• Lead and manage data analytics projects from conception to delivery, providing deep insights that guide strategic decision-making for our clients.
• Design and implement advanced analytics solutions using AI, machine learning, and predictive modelling techniques.
• Collaborate with clients to understand business challenges, and translate them into data-driven strategies and actionable insights.
• Develop and refine data models, perform complex data analysis, and create data visualizations to communicate key findings to stakeholders.
• Lead data engineering efforts, including data cleansing, transformation, and automation, to ensure data integrity and availability.
• Mentor and guide junior data analysts and team members, providing technical oversight and knowledge sharing.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data analytics, with a strong emphasis on applying AI and machine learning solutions.
• Expertise in data analytics tools and programming languages (e.g., Python, R, SQL) and proficiency with AI and machine learning frameworks (e.g., TensorFlow, Scikit-learn).
• Experience with data visualization platforms (e.g., Tableau, Power BI, D3.js).
• Strong problem-solving skills, with the ability to design innovative solutions and drive value for clients.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with cloud-based data platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Hadoop, Spark).