Methods Analytics (MA) is recruiting for a Junior Data & AI Consultant to join our team within the Public Sector Business unit on a permanent basis.
This role will be mainly remote but require flexibility to travel to client sites, and our officesbased in London, Sheffield, and Bristol.
We expect to start shortlisting and interviews beginning w/c 6th May.
Junior Data & AI Consultant
As a junior Data & AI Consultant, you will work within our skilled Data & AI Consulting Practice. The team act as strategic advisors supporting clients on their journey to derive business value from Data & AI.
You will be innovative, outcome driven, and passionate about enabling enterprise-wide improvement in the use of Data & AI. You will have experience and interest in identifying, developing, and deploying AI to solve business problems and bring the value to organisations.
You will work closely with clients acting as a trusted advisor, combining business consulting experience with Data & AI expertise to help clients innovate and become data-led and AI-assisted.
- Responsible primarily for client delivery with contribution to business development and collaboration within the Data & AI Practice and Public Sector Business Unit.
- Self-driven to deliver on data & AI literacy and strategy workstreams with guidance and support from senior team members from across our practices of Data & AI Consulting, Business Analysis, Delivery Management, Engineering, Architecture and Data Science.
- Collaborating with clients to understand their business processes and objectives, identifying high-value Data & AI use cases, providing guidance and recommendations on solutions, and advising stakeholders on data governance and responsible AI.
- Actively exploring trends in data, analytics, ML and AI to shape strategic advice to clients, keeping abreast of emerging opportunities, funding mechanisms, competitor moves, shifting priorities and pain points in target public and private sector domains.
- Supporting the delivery of education to executives on data & AI technologies, techniques, market offerings to empower leadership decisions.
- Contributing to creation of reports and presentations to advise C-suite teams on comprehensive enterprise data strategies, ensuring robust data foundations before AI implementations.
- Supporting delivery of data-driven initiatives and contributing to the building of tailored Data & AI strategies spanning detailed plans and business cases to roadmaps.
- Supporting clients to grow a lasting data & AI capability by leading on data literacy, mentoring and knowledge sharing.
- Articulating and quantifying the value proposition of the consultancy’s data and AI capabilities to prospects across public and private sector.
Requirements
You will demonstrate:
- Confidence conveying complex technical concepts of AI and ML to a wide range of stakeholders, including technical and non-technical audiences.
- Strong analytical, problem solving and critical thinking skills.
- Appetite and evidence of continuous learning and improvement in the area of Data & AI.
- Strong foundational knowledge of Data & AI with hands-on experience of data and AI during your career, applying analytical and statistical methods within business or academic field.
- Knowledge of recent innovations such as GenAI, MS Copilot and Microsoft Fabric and/or certifications with leading cloud providers and around topics of data science AI and ML.
You may also have desirable skills and experience:
- Experience in management consulting or large organisational data strategy delivery, with engagement up to executive level.
- Experience in developing winning proposals, bids and value propositions to identify client needs, nurture executive relationships, drive new business pipeline and expand market share.
- Recognised industry standard data management qualification, such as DCAM or CDMP and understanding of data governance and maturity assessments.
- Working knowledge of use cases and application of different AI technologies including Computer Vision, ML, Gen AI etc. AI, ML frameworks and Data Science Principles.
Benefits
Working at MA
Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service.
We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative.We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility.
We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes.
We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.
We are passionate about our people; we want out colleagues to develop the things they are good at and enjoy.
By joining us you can expect:
- Autonomy to develop and grow your skills and experience
- Be part of exciting project work that is making a difference in society
- Strong, inspiring, and thought-provoking leadership
- A supportive and collaborative environment
As well as this, we offer:
Development – access to LinkedIn Learning, a management development programme and training
Wellness – 24/7 confidential employee assistance programme
Social – Office parties, pizza Friday, and commitment to charitable causes
Time Off – 25 days of annual leave a year
Pension – Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
Discretionary Company Bonus – based on company and individual performance
Life Assurance – of 4 times base salary
Private Medical Insurance – which is non-contributory (spouse and dependants included)
Worldwide Travel Insurance – which is non-contributory (spouse and dependants included)
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