Our client is a rapidly growing market analysis firm renowned for providing cutting-edge insights to global technology giants like Apple, Google, etc. They specialise in a range of connected devices, including smartphones, wearables, AR/VR, PCs, and tablets.

As a Market Analyst in the Connected Devices team, your day-to-day activities will include:

• Leading Market Research: Manage and deliver on their internal programme, our client’s quarterly market-tracking and forecasting initiative for new and pre-owned devices.
• Data Analysis: Collect, analyse, and interpret large data sets to produce insightful market reports.
• Client Interaction: Present your findings to a range of audiences, from small groups to large conferences, and respond to client enquiries.
• Public Representation: Act as an external spokesperson, representing our client at trade shows and in the media.

Key attributes of the Market Analyst include:

• 2-3 years of relevant experience in market analysis, research, or forecasting.
• Experience in financial analysis and modelling.
• Advanced Excel and PowerPoint skills.

Imagine working with a team that places consumer insights at the heart of everything they do. You’ll be joining a forward-thinking organisation that values your expertise, encourages your innovative ideas, and supports your professional growth. 🚀

Our client, a leader in the fashion retail sector, recently underwent a significant transformation to stay ahead of industry changes. By consolidating their global Marketing and Branding functions and establishing a cutting-edge Consumer Intelligence and Experience team, they are leveraging consumer insights and predictive analytics to create personalised consumer experiences at scale. 📈 

This is a unique opportunity to be part of a team that is set to revolutionise the way the business thinks about and interacts with its consumers.

As a key player in the Consumer and Market Insights function, you will report to the Global Menswear & Womenswear CMI Lead. 👔👗

Your responsibilities will include:

• Managing Ad Hoc Research Projects: Lead complex research initiatives such as Consumer Decision Journeys across multiple markets, optimising questionnaires, and supporting analysis and presentations. 
• Setting Campaign KPIs: Develop relevant KPIs for marketing plans based on campaign testing benchmarks and brand health tracking. 
• Data Analysis and Reporting: Handle ad hoc data queries, support strategic reviews, and perform detailed analyses to provide actionable insights. 
• Cross-Functional Collaboration: Work with the Customer Insights & Data Analytics team to create comprehensive analyses that drive growth strategies. 
• Agency Partnership: Build and maintain strong relationships with external agencies, identifying innovative methodologies to enhance research outcomes. 

• Research Expertise: Proficient in questionnaire design, sample handling, and quantitative research methods including ad testing and brand trackers.
• Analytical Skills: Exceptional ability to manipulate data and generate strategic insights, presenting them clearly to senior leadership. 
• Proactive Team Player: Able to work autonomously and collaboratively, with a proactive and driven mindset to get stuff done. 
• Curiosity and Passion: A keen interest in consumer behaviour and brand relationships. 
• Category Experience: In global consumer goods and/or retail. 

They are a global management consulting company, with thousands of employees worldwide. Working on projects which have a huge impact on the key challenges of our times. They work across a vast array of sectors including the public sector, climate and environment, energy and utilities, etc.

The Senior Data Scientist will contribute to further growth by applying expertise in data science to client projects and working closely with a team leader to help coach and line-manage junior data scientists. You will interact with both technical and non-technical stakeholders, contributing to the drafting of research reports and proposals, and presenting findings to the client

Key attributes of the suitable Senior Data Scientist include

• 3+ years of experience working in the data science domain
• Experience in using Python – with an understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, NLP, etc.
• Strong report writing and presentation skills

Are you a data science professional passionate about applying your expertise to public policy research and analysis?

Do you enjoy solving complex challenges and want to make a real impact?

Join their dynamic team and contribute to projects that address some of the key issues of our time.

They are seeking a Senior Data Scientist.

You will apply your expertise to client projects and work closely with the team leader to coach and manage junior data scientists.

This role involves working on multiple projects, interacting with all levels of staff and external stakeholders, drafting research reports and proposals, and presenting findings to clients.

– Apply data science methods to public policy research and analysis.

– Lead and manage projects, ensuring high-quality delivery and client satisfaction.

– Provide coaching and line management to junior data scientists.

– Draft research reports and proposals, presenting findings to clients.

– Collaborate with experts across the business to develop innovative solutions.

• Educational Background:

At minimum, a Bachelor’s degree in Data Science, Social Sciences, or related disciplines.

– Experience:

At least three years of practical experience in industry, government, or consulting, applying data-driven approaches to various business scenarios, including advanced analytics or machine learning algorithms.

– Technical Skills: Strong Python skills and understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting / predictive analytics, neural networks, hyperparameter tuning, NLP, and utilising LLMs.

–  Communication:  Strong ability to communicate complex technical concepts to diverse audiences effectively.

–  Management:  Previous line management experience.

–  Additional Skills:  Experience with query languages such as SQL and working on proposals for client work would be advantageous but not essential.

–  Language:  Excellent command of the English language, strong report writing, and presentation skills.

–  Eligibility:  Applicants must have the right to work in the UK.

Why Join them?

– Impactful Work: Contribute to meaningful projects that address critical public policy issues.

– Professional Growth: We support career progression and are committed to learning and personal development through in-house training programs, access to our communities of practice, and online learning resources.

–  Supportive Environment: Enjoy a supportive, collegiate work environment with our ‘You Matter’ program that recognizes colleague contributions, support, and success.

–  Flexibility: Benefit from a flexible, hybrid working model that allows you to balance working from home with using our UK bases in London, Plymouth, Leeds, and Birmingham.

Join this consultancy and help shape the future of public policy through innovative data science solutions!

They are one of the biggest companies in Europe. Working across multiple offerings, from TV to Mobile and Broadband. With over 20 million customers worldwide they are one of the leaders in the media and entertainment space.

As a Senior Data Analyst within the Media Strategy team, you will play a pivotal role in driving forward our client’s advertising effectiveness. The role is a unique opportunity to contribute to the development of best practice guidelines, delivering insight generated from a full range of advanced analytics tools and measurement methodologies. Working alongside the wider team to design, deploy, and evaluate marketing tests and integrate results within the wider business.

Key attributes of the suitable Senior Data Analyst include:

• At least 2 years of experience working in the analytics space
• Proficiency with the use of programming languages (SQL, Python, etc.)
• Ability to use a variety of analytical techniques to extract actionable insights