Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Science Analyst, tackling complex data challenges and driving AI solutions for clients.
- Company: Methods Analytics is dedicated to improving society through innovative data-driven decision-making.
- Benefits: Enjoy remote work, wellness programs, social events, and comprehensive health insurance.
- Why this job: Be part of impactful projects that empower organizations to harness the power of data and AI.
- Qualifications: A technical degree and experience in data science or AI are essential; continuous learning is encouraged.
- Other info: Security clearance may be required; we value ethics and responsible data use.
The predicted salary is between 36000 - 60000 £ per year.
Methods Analytics 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 data to do good and solve difficult problems. 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. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure.
As a 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. Able to operate at a senior level and experienced 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 Front Line Command, UK Industry and Special Projects Business Unit.
Leading the delivery and supporting the growth of client engagements, supported by a multi-disciplinary team of Consultants from across our practices of 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.
Educating executives on data & AI technologies, techniques, market offerings to empower leadership decisions.
Advising C-suite teams on comprehensive enterprise data strategies, ensuring robust data foundations before AI implementations.
Guiding data-driven initiatives and building 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.
Working within the practice to build offers, provide thought leadership, training, and mentoring.
Understanding how to deliver projects and the management of them from start to finish.
Experience setting strategic direction for use of Data & AI, shaping and supporting delivery of impactful solutions spanning business strategy, transformation, and operations.
Confidence conveying complex technical concepts of AI and ML to a wide range of stakeholders, including technical and non-technical audiences.
Understanding of data governance and ethics principles, including security, privacy, and risk control metrics.
Strong stakeholder management and leadership experience, proactively identifying clients, building rapport and identifying opportunities.
Experience identifying and implementing Data & AI initiatives and use cases to improve business processes and outcomes.
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.
Experience in management consulting or large organisational data strategy delivery, with engagement up to executive level.
Experience and awareness of recognised data governance and management practices such as data strategy, data maturity assessments.
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.
Technical background with an undergraduate or advanced degree (Masters, MBA, PhD etc) in a technical field (sciences, computer science, mathematics, engineering, data science) or equivalent experience.
This role will require you to have or be willing to go through Security Clearance. details of the evidence required to apply may be found on the government website Gov.Be part of exciting project work that is making a difference in society
Development access to LinkedIn Learning, a management development programme and training
Wellness 24/7 Confidential employee assistance programme
Social – Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month as well as commitment to charitable causes
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)
Data Science Analyst (Remote) employer: Methods Analytics
Contact Detail:
Methods Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst (Remote)
✨Tip Number 1
Familiarize yourself with the latest trends in Data & AI, especially innovations like GenAI and Microsoft Fabric. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the Data Science and AI community. Attend webinars, workshops, or local meetups to connect with others in the field. This can lead to valuable insights and potential referrals for the position.
✨Tip Number 3
Prepare to discuss real-world applications of Data & AI that you've worked on or studied. Be ready to articulate how these experiences can translate into value for our clients, showcasing your problem-solving skills and innovative mindset.
✨Tip Number 4
Understand the importance of ethics and data governance in AI projects. Be prepared to discuss how you would approach these topics with clients, ensuring they recognize the significance of responsible AI practices in their strategies.
We think you need these skills to ace Data Science Analyst (Remote)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data analytics, AI, and machine learning. Provide specific examples of projects where you've successfully applied these skills to solve business problems.
Showcase Your Technical Skills: Mention any relevant technical qualifications or certifications you have, especially in data governance, AI technologies, and data management practices. This will demonstrate your expertise and commitment to continuous learning in the field.
Craft a Compelling Cover Letter: Use your cover letter to convey your passion for data and AI, as well as your understanding of ethical considerations in data usage. Explain why you want to work with this company and how you can contribute to their mission of improving society through data.
How to prepare for a job interview at Methods Analytics
✨Show Your Passion for Data & AI
Make sure to express your enthusiasm for data and AI during the interview. Share specific examples of how you've used data to solve problems or drive decisions in previous roles. This will demonstrate your genuine interest and commitment to the field.
✨Understand the Company's Values
Familiarize yourself with the company's mission to improve society through data. Be prepared to discuss how your values align with theirs, especially regarding ethics, privacy, and quality in data usage. This alignment can set you apart as a candidate.
✨Prepare for Technical Questions
Expect to be asked about your technical expertise in data science and AI. Brush up on recent innovations like GenAI and Microsoft Fabric, and be ready to discuss your hands-on experience with various AI technologies and frameworks.
✨Demonstrate Stakeholder Management Skills
Since the role involves working closely with clients, be prepared to share examples of how you've successfully managed stakeholders in the past. Highlight your ability to build rapport, identify opportunities, and communicate complex concepts to both technical and non-technical audiences.
