Associate Data Scientist, New College Grad - 2026 at RRS Group

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

59000.0

Posted On

29 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Machine Learning, Generative AI, Statistical Modeling, R, Spark, Scikit-learn, Tableau, Power BI, Data Analysis, Prompt Engineering, Predictive Modeling, Feature Engineering, LLMs, AutoML

Industry

Architecture and Planning

Description

Company Description The RRS Group, and its affiliated entities (collectively, “RRS”) have provided real estate development and related services to investment-grade clients for decades. Our expertise encompasses site acquisition, architectural design, and development management for commercial office and industrial properties. Through an integrated service model, RRS delivers comprehensive enterprise solutions that address every phase of the building lifecycle. In addition to technical excellence, we offer strategic consulting in marketing, financial planning, and facility management ensuring that every project achieves its highest potential in performance, value, and sustainability. Commitment to Community For over two decades, RRS has maintained a strong commitment to the communities we serve. This commitment is further advanced through the RRS Making Lives Better Foundation, which provides meaningful support and resources to individuals and families in need. The Foundation reflects our belief that corporate success carries a responsibility to contribute positively to society and to improve the quality of life in the regions where we operate. Our Core Values Integrity | doing the right thing when no one is watching and acting with uncompromising honesty. We believe in maintaining lasting relationships based on honesty, consistency and the highest ethical standards. This creates credibility in our personal and professional relationships. Caring | showing concern, empathy and compassion for others, ourselves, and our environment. Our care shows itself in our commitment to “safety first” in all we do. We encourage each other to be the best and hold each other accountable. We help those in need, contribute to the communities in which we work and develop creative ways to be responsible with our resources. Integration | working unselfishly toward common goals across disciplines, teams, departments and regions. Our collective contributions are greater than our skills. We will be transparent and understand each other’s expertise to provide the most value when delivering our services to one another and our clients. Innovation | developing new ideas and applying the solutions that differentiate us in valuable ways. We are not comfortable with the status quo. We remain accountable for continuous improvements in our results because we do not consider innovation an end in itself. We maintain an environment where we foster new ideas and encourage changes that help us improve. If you share these core values, we have the right opportunity for you Job Description RRS Group is seeking a motivated and analytical Associate Data Scientist to join our team as part of the 2026 New College Graduate hiring program. This role is ideal for candidates with a strong foundation in data analysis, machine learning, statistical modeling, and Generative AI applications. The Associate Data Scientist will work closely with cross-functional teams to analyze large datasets, develop predictive models, generate actionable insights, and support data-driven business decisions. The ideal candidate demonstrates technical proficiency in SQL and Python, hands-on experience with machine learning and analytics tools, and familiarity with modern AI-assisted workflows and responsible AI practices. Key Responsibilities Extract, transform, aggregate, and analyze large and complex datasets using SQL, Python, R, Spark, and related technologies. Perform exploratory data analysis (EDA), feature engineering, and data validation to support analytics and modeling initiatives. Develop, evaluate, and maintain descriptive and predictive machine learning models using tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS. Apply statistical modeling and data mining techniques, including regression, classification, clustering, decision trees, and related methodologies. Utilize Generative AI and AI-assisted tools, including LLMs, coding assistants, and AutoML platforms, to improve analytical workflows and insight generation. Apply Generative AI techniques such as prompt engineering, text summarization, classification, and LLM-assisted analysis in business or research applications. Collaborate with stakeholders to translate business problems into analytical solutions and communicate findings effectively. Build and maintain business intelligence solutions and dashboards using Tableau, Power BI, or similar visualization platforms. Define metrics, validate data quality, and support semantic layer development to ensure accurate reporting and business insights. Follow responsible AI principles, including awareness of data privacy, bias mitigation, ethical AI usage, and model limitations. Qualifications Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field, with graduation expected in 2026. Minimum of 2 years of experience in data analysis, quantitative modeling, or data-driven decision-making through academic, internship, research, or professional experience. Proficiency in SQL and Python for data analysis, visualization, and modeling. Experience working with large datasets and distributed data processing tools such as Spark. Strong understanding of statistics and machine learning fundamentals, including model evaluation techniques. Hands-on experience with machine learning libraries and tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS. Exposure to Generative AI technologies and AI-assisted analytical workflows. Familiarity with business intelligence and visualization tools such as Tableau or Power BI. Strong analytical thinking, problem-solving, and communication skills. Preferred Qualifications Experience with cloud-based analytics or machine learning platforms. Coursework or project experience involving NLP, LLMs, or AI-driven analytics. Knowledge of responsible AI practices, governance, and ethical AI considerations. Experience developing dashboards, KPI reporting systems, or executive-level business insights. Technical Skills Programming Languages: Python, SQL, R, SAS Data & ML Tools: scikit-learn, Spark, Jupyter Notebooks Visualization Tools: Tableau, Power BI AI/GenAI Tools: LLMs, AutoML, coding assistants Statistical Techniques: Regression, classification, clustering, decision trees, predictive modeling Preferred Competencies Strong attention to detail and data quality Ability to manage multiple projects in a fast-paced environment Effective collaboration and communication skills Curiosity for emerging AI and data science technologies Commitment to ethical and responsible AI practices Additional Information What can you expect from us: Opportunities to learn and develop every day through a wide range of programs. Internal digital platforms that promote self-learning. Development programs according to Leadership skills. Specialized training according to the role. Learning experiences with internal and external providers. We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others. Financial wellness programs that will help you reach your goals in all stages of life. A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. And because your family is also important to us, they can also enjoy benefits such as our WellnessLine, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others. Work Hours: Varies upon the needs of the global department. RRS Company is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. RRS will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. RRS Group will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. #TransformingSpacesBuildingFutures #Remote Compensation: GBP 44500 - GBP 59000 - yearly

Responsibilities

Extract and analyze complex datasets to develop predictive machine learning models and actionable business insights. Collaborate with stakeholders to implement Generative AI workflows and maintain business intelligence dashboards.