Fresh Jobs at Optimal Growth Technologies

Role Purpose

• We are seeking a highly analytical and commercially minded Specialist Data Scientist to drive the development of advanced analytics, machine learning, and AI-driven solutions that deliver business value and enhance customer experience.
• This role will focus on leveraging big data to build personalised, contextual, and intelligent solutions across consumer, merchant, financial services, and digital product portfolios.
• The successful candidate will work cross-functionally with commercial, engineering, data, and technology teams to develop predictive models, automate insights, and support strategic decision-making.

Key Responsibilities

• Develop Machine Learning and AI solutions that generate actionable business insights and drive personalisation.
• Build predictive models using large, complex, and diverse datasets.
• Develop and deploy machine learning models across various business domains.
• Write prototype and production-level code (e.g., PySpark) for automated model training and scoring.
• Track, monitor, and report on machine learning model performance.
• Use data visualisation techniques to communicate insights effectively and support data-driven storytelling.
• Collaborate with Data Engineering teams to support data ingestion and model productionisation.
• Work closely with stakeholders to deliver analytics solutions aligned to business objectives.
• Manage and take ownership of a portfolio of data science initiatives from development through to stakeholder engagement.
• Contribute to broader AI and Machine Learning capability development within the organisation.

Core Competencies & Experience

• Minimum 3+ years experience in Data Science or Statistical Modelling.
• Strong experience analysing and manipulating large, complex datasets.
• Proven ability to build and deploy predictive models (e.g., Churn, AML, Credit Risk, Fraud).
• Strong data visualisation skills with ability to present insights clearly.
• Commercial understanding of how AI & ML drive business value.
• Strong stakeholder management and communication skills.
• Ability to work effectively in a fast-paced environment.
• Analytical mindset with strong problem-solving capability.

Technical & Professional Requirements

• Bachelors or Masters Degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Artificial Intelligence, or related quantitative field (essential).
• Professional or academic experience in Big Data analytics and deployment of models in real-world environments.
• Proficiency in Python or R.
• Experience with SQL, Spark, SAS or similar large dataset technologies.
• Experience with machine learning libraries such as H2O, scikit-learn, PyTorch.
• Experience with modelling techniques including:
• Random Forest
• Gradient Boosting
• K-means Segmentation
• Regression Analysis
• Factor Analysis
• Time-Series Forecasting
• Familiarity with visualisation tools such as Tableau, Qlik, or Power BI.

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ROLE PURPOSE:

• To manage Landlord relationships, end to end within company
• Cession of Lease Agreements: To obtain consent from landlords for the transfer of existing lease agreements
• Lease Renewals: To manage and renew lease agreements, ensuring favourable terms for the company.
• To manage strategic and operational Property related projects, negotiations, and reporting

RESPONSIBILITIES WILL INCLUDE:

• Build and maintain good business relationships with landlords in line with company services and ;
• Performance Management Framework and objectives
• Stakeholder engagement with relevant landlords, stakeholder and government bodies/ associations to strategically position company to achieve its long-term objectives.
• Implement the companies services strategy with the aim of maximizing onward tenancies and cost containment in the long run
• Timely renewal and lease renegotiation of rentals (focus on reduction of rentals)
• To facilitate communication between company, Landlord and contractors.
• Regular Site Meetings and updates with Landlords
• Dispute resolution and ensuring business continuity
• Manage ground rent direct expense budget
• Support of site activities and access including upgrades through close coordination with landlords and customer stakeholders
• Reporting and tracking, on the status of lease agreements and negotiations
• Liaising with Landlord Relationship Specialists, requires teamwork and the ability to work as a unit within a larger property management framework
• Working on ad-hoc projects as requested by line manager and the organization

CORE COMPETENCIES:

• Understanding of Basic Telecommunications Principles and site layout.
• Negotiation Skills including dispute management skills, is vital
• Communication Skills, essential for liaising with various stakeholders, including landlords, contractors, and internal teams.
• Contract management: Having understanding and Business acumen in dealing with contract clauses and implementation, ensuring all legal and procedural requirements are complied to.
• Organizational Skills, necessary for managing multiple leases, renewals, and workload
• Problem-Solving Skills, useful for addressing any issues that arise during the negotiation or cession process.
• Attention to Detail and reporting skills: Critical for drafting leases, capturing information,
• Excel, smart sheets and systems knowledge and ability to report on and analyse statistics.

KNOWLEDGE AND EXPERIENCE:

• Landlord dispute resolution / management / Persuasion and influencing skills
• Contract management and basic contract law
• Relationship management
• Stakeholder management
• Excellent interpersonal skills
• Knowledge of Town Planning Environment
• Understanding of Geographical Maps

TECHNICAL/PROFESSIONAL QUALIFICATIONS:

• Relevant 3 year Degree / National Diploma / Equivalent experience (Knowledge Skill Abilities) in Property, Town Panning, Law, or relevant Built Environment qualification.
• Understanding of basic business principles
• Relevant Property Legislation & leasing
• Knowledge of Policies and procedures
• 3- 5 years experience in a similar role
• 3 - 5 years Negotiating experience
• 3 - 5 years working with property/base stations/telecoms (Desirable)