Smart Pension

• Spearheads the development and execution of the comprehensive data science and analytics strategy, aligning it with business objectives, country requirements, and partner needs, thereby driving strategic initiatives such as book migration, MT acquisitions, and customer value management.

•Formulates and implements technical digital strategies to meet key business priorities, ensuring alignment with organisational goals and objectives.

•Establishes and cultivates the data science, data analytics, and data engineering functions from inception, alongside the creation and deployment of a robust data infrastructure to support team operations.

•Conceptualises and delivers innovative data products tailored to address pension-related challenges, empowering clients to leverage data for enhanced decision-making and improved outcomes.

•Fosters strong collaborative relationships with country heads and sales teams, facilitating opportunity identification and providing support for sales and partnership endeavors.

•Orchestrates the strategic planning and execution of data warehouse and analytics initiatives across all client portfolios, ensuring seamless implementation and optimal performance.

•Develops and implements a comprehensive data governance framework to ensure data integrity, security, and compliance with regulatory standards.

•Provides strategic guidance and direction on emerging trends and advancements in data science and analytics, fostering a culture of continuous learning and innovation within the organisation.

•Led the design and execution of a data science model encompassing growth, customer lifetime value (LTV), and churn analysis.

•Automated the data pipeline to streamline operational and financial processes, thereby optimising efficiency and enhancing productivity

Head of Data Science and Analytics

•finance, and business development teams, leveraging advanced statistical and informatic techniques to drive data-driven decision-making and strategic planning initiatives.
•Delivered statistical and informatic technical support to the wider business, ensuring the availability of accurate and actionable insights to facilitate informed decision-making processes and enhance operational efficiency.
•Utilised advanced statistical models, including regression analysis, classification, and clustering analysis, to enhance targeting and response strategies, resulting in improved efficiency and effectiveness of marketing and sales initiatives.
•Utilised various analytical tools such as R, SAS Enterprise Miner, SQL, and Excel to extract, analyse, and interpret complex datasets, enabling data-driven insights and informed decision-making.

Data Science Manager

AKA 

Implement specified analytical projects aimed at helping the business achieve its objectives. 	
•	Provide analytical support to the business, including senior management; marketing, finance and business development teams
•	Line management role.
•	Communicate results from analysis clearly and easily understood
•	Develop and utilise statistical models to improve targeting and responses (e.g. regression analysis, classification and clustering analysis) 
•	Share learning’s across the Insight and Analytics team
•	Extensive use of R, SAS Enterprise Miner, SQL & Excel
•	Follow the Cross-Industry Standard Process for Data Mining (CRISP) methodology.

Data Analyst

Levant and comptoir LTD 

•	Delivered bespoke performance management reports, using SQL and MS Excel.
•	Developed new strategy MI reports for presentations to senior stakeholders, communicating the opportunities to enhance workforce management. 
•	Managed the whole performance reporting lifecycle, from extracting raw data, improving data quality through cleansing, then analysing, reviewing and forecasting complex Sales data.
•	Monitored stores and restaurant performance such as finance, customer surveys and serves to increase comprehensive knowledge of all internal resources needed to complete assigned projects in an accurate and timely manner.
•	Conducted ad-hoc analysis for directors and managers as and when required.

Insight Analyst

Lancaster University

MSc Data Science - Statistical Inference Specialism. Special focus on statistical modeling and data mining of large and complex data structures.

Module choices
•	Data mining (Pre-processing – Clustering – Classification)
•	Programming using R
•	Statistical Modelling and inference
•	Forecasting & time series analysis
•	Optimization & Heuristics 
•	Multilevel Models & Missing Data
•	Data Mining for Marketing, Sales and Finance (management school)

MSc Data Science 

Levant and comptoir LTD, London, Data Analyst

•	Conducting detailed analysis of the weekly and monthly sales of 26 retail stores and restaurant, analysing the over/under performance (sales) of the stores/restaurant via data from EPOS downloads, using the most up to date methods and techniques 
•	Conduct benchmarking and trend analysis across the business highlighting significant variation in sales of different departments and flagging any areas of interest or concern to support and inform store managers and head office.
•	Gathering, analysing and validating sales data from invoices and reconciling against quarterly stock take and sales figures. 
•	Implementing claims and refund from suppliers across all retail stores and restaurants on monthly basis where prior agreements are in place. Generating queries based on sales data to identify key areas of performance in various departments and drilling down in terms of sales, products and producing lucid reports. 
•	Undertake the development of routine and ad-hoc analysis in response to management queries. This may include comparisons across datasets to draw conclusions. 
•	Provide analysis of activity and finance data to support store and restaurant managers maximise sales and store layout.  
•	Develop and maintain effective working links, both internally and externally to ensure a good knowledge of information sources

Astronberg Investments Ltd

Strategic and forward-thinking data science executive with a rich history of driving impactful analytics initiatives spanning 15 years. Recognised for architecting data-driven strategies that optimise revenue streams, streamline operations, and enhance client interactions. Instrumental in steering global consultancy efforts at Smart, advising clients on leveraging data to drive efficiency gains, cost reductions, and revenue enhancements. Notably, held the highest-ranking data-position globally at Smart Pension. Proficient in building and mentoring high-performing teams, fostering individual growth, and cultivating a culture of innovation. Adept at managing stakeholder relationships across departments, collaborating closely with sales, operations, finance, strategy, management, IT, engineering, and product teams to address business challenges through data-driven insights. Spearheaded comprehensive data transformations both within Smart and with external clients, driving organisational evolution and positioning for future growth. Experienced in business development efforts, leveraging data expertise to identify new opportunities and drive strategic initiatives forward

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