RRS Group

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. For over two decades, RRS has maintained a strong commitment to the communities we serve through the RRS Making Lives Better Foundation, which provides meaningful support and resources to individuals and families in need. Our Core Values: Integrity | doing the right thing when no one is watching and acting with uncompromising honesty. Caring | showing concern, empathy and compassion for others, ourselves, and our environment. Integration | working unselfishly toward common goals across disciplines, teams, departments and regions. Innovation | developing new ideas and applying the solutions that differentiate us in valuable ways.

Associate Data Scientist

Location

United Kingdom

Posted

4 days ago

Salary

£44.5K - £59K / year

Seniority

Mid Level

Job Description

Associate Data Scientist

RRS Group

Role 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 - 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 Benefits - 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. - 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. - Family benefits including WellnessLine, Agreements and Discounts, Scholarship programs for 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. Compensation: GBP 44500 - GBP 59000 yearly

Related Categories

Related Job Pages

More Data Scientist Jobs

Optimum logo

Senior Data Scientist

Optimum

High-performance memory infrastructure for any blockchain.

Data Scientist4 days ago
Full TimeRemoteTeam 11-50Since 2024H1B Sponsor

• Own end-to-end methodology for causal inference, identification strategies, and predictive modeling. • Design, run, and evaluate experiments — from hypothesis formulation through power analysis to result interpretation. • Work on product initiatives where data signals are the core deliverable, not just a supporting artifact. • Partner closely with Product, Economics, and Research as primary stakeholders to translate business questions into rigorous analytical frameworks. • Work with Engineering on implementation of models and evaluation pipelines, ensuring analytical work is production-ready. • Produce actionable insights and present complex methodology to both technical and non-technical audiences clearly and concisely. • Document approaches, assumptions, methodologies, and results to a high standard — building institutional knowledge that scales with the team.

United States
The Cigna Group logo

Data Enablement and Reporting Advisor

The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Data Scientist4 days ago
OtherRemoteTeam 10,001+Since 1982H1B No Sponsor

Role Description The job profile for this position is Business Analytics Advisor, which is a Band 4 Senior Contributor Career Track Role. Bring data to life in a role where your insights directly influence healthcare strategy and performance. As a Data Enablement and Reporting Advisor, you will design scalable analytics solutions that empower leaders to make smarter, faster decisions. You will partner across teams to transform complex data into meaningful, actionable insights that improve outcomes and operational efficiency. - Develop scalable reporting solutions and dashboards that provide clear visibility into cost, utilization, and network performance, enabling strategic decision-making. - Design and optimize data pipelines using tools such as SQL, Databricks, and Tableau to improve accuracy, consistency, and efficiency across reporting workflows. - Translate complex healthcare data into actionable insights that help stakeholders identify trends, risks, and opportunities. - Partner with cross-functional stakeholders to define reporting strategies that align with business priorities and drive measurable outcomes. - Continuously improve reporting processes through automation, standardization, and performance optimization. - Establish data quality and validation frameworks to ensure reliability, consistency, and trust in reporting outputs. - Enable stakeholders through training and guidance on data interpretation and self-service analytics capabilities. - Deliver targeted analyses that inform business decisions, validate key trends, and support strategic initiatives. Qualifications - 4+ years of experience in data analytics, reporting, or a related field. - Advanced proficiency in SQL, including complex queries and data validation across multiple data sources. - Experience building dashboards and reports using tools such as Tableau. - Strong analytical and problem-solving skills with the ability to translate data into business insights. - Ability to manage multiple priorities and deliver results in a fast-paced environment. - Strong communication skills with the ability to present insights to both technical and non-technical audiences. - Bachelor’s degree in a related field such as Statistics, Mathematics, Economics, Health Policy, or Finance. - Experience in healthcare analytics, including cost, utilization, or network performance analysis. - Familiarity with provider reimbursement models or network analytics. - Experience with AI-enabled analytics or process automation. Requirements - If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. - For this position, we anticipate offering an annual salary of 98,200 - 163,600 USD / yearly, depending on relevant factors, including experience and geographic location. - This role is also anticipated to be eligible to participate in an annual bonus plan. Benefits - Comprehensive range of benefits, with a focus on supporting your whole health. - Health-related benefits including medical, vision, dental, and well-being and behavioral health programs. - 401(k), company paid life insurance, tuition reimbursement. - A minimum of 18 days of paid time off per year, paid holidays, and leaves of absence.

United States
$98.2K - $163.6K / year
Job Closed
Full TimeRemoteTeam 10,001+Since 1990H1B No Sponsor

Role Description As a Clinical Data Science Lead at ICON, you will drive data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions. You will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes. - Leading the design and implementation of data science strategies to enhance clinical trial data analysis. - Collaborating with cross-functional teams to identify key data requirements and analytical needs. - Overseeing the development of statistical models and analytical tools to optimize data interpretation. - Mentoring and guiding team members in best practices for data analysis and visualization. - Communicating findings and insights to stakeholders through presentations and reports, influencing project direction. Qualifications - Bachelor's degree in life sciences, computer science, or a related discipline. - Extensive experience in data analysis and project leadership within a clinical research setting. - Strong expertise in statistical software and data visualization techniques. - Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights. - Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams. - Willingness to travel as required (approximately 15%). Requirements - Employment with ICON is contingent upon having the legal right to work in the country where the role is based. Benefits - Competitive base salary and performance related incentives. - Health and wellbeing programmes including medical, dental, and vision coverage where applicable. - Retirement and pension plans. - Life assurance and disability coverage. - Employee assistance programmes and wellbeing resources. - Learning and development opportunities through structured training and career pathways. - Benefits may vary depending on role and location. Inclusion and Accessibility ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.

Mexico
Full TimeRemoteTeam 1,001-5,000Since 1999H1B No Sponsor

• Build, maintain, and improve decision systems and predictive models that are key to Progressive Leasing’s competitive advantage • Explore new data sources both internal and external to Progressive and use findings to further improve model performance • Design, implement, and read in-market experiments testing new algorithms, technologies, and processes • Prototype solutions to business problems using cutting-edge technologies • Recommend and support strategic changes through rigorous analytics, creative problem solving • Identify, evaluate, and help implement advanced analytics methods • Be part of a collegial team of like-minded data scientists!

Utah