Data Scientist at Ocorian

, Northern Ireland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

02 Jul, 26

Salary

0.0

Posted On

03 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, SQL, Machine learning, Statistical analysis, Predictive modeling, Data visualization, Power BI, Tableau, Exploratory data analysis, Cloud platforms, AWS, Azure, GCP, Hypothesis testing, Data preprocessing

Industry

Financial Services

Description

Company Description Fund services | Corporate | Capital markets | Private client | Regulatory & Compliance We help clients succeed by unlocking new value through expertise, trust and scale. We deliver solutions that solve complex challenges faced by asset managers, financial institutions, corporates, high net-worth individuals and family offices. With a curious mindset, we ask the right questions to get to the right solution, faster. We collaborate to win together, sharing successes and shaping the future of our global business. Our culture of support and recognition provides the tools and opportunities for you to grow, while unlocking the most value for our clients and making your mark with Ocorian. Expertise: We deliver specialist, tech-enabled solutions for our clients grounded on deep industry expertise. Trust: We’re a trusted partner to over 8,000 clients globally. We are proud to have long-lasting partnerships with our clients. Scale: With more than 1,500 colleagues, we operate across 20+ countries, our scale enables us to support our clients globally and locally, providing a seamless client experience across borders and service lines. Job Description We are seeking a highly analytical and innovative Data Scientist to leverage data to drive strategic decision-making and business performance. The successful candidate will be responsible for developing predictive models, extracting insights from complex datasets, and translating findings into actionable recommendations. This role requires strong statistical knowledge, machine learning expertise, and the ability to communicate complex analytical concepts to non-technical stakeholders. Main Responsibilities Data Analysis & Insight Generation Analyse large, complex datasets to identify trends, patterns, and opportunities. Develop data-driven insights to support business strategy and operational improvements. Present findings clearly to stakeholders using visualisations and reports. Machine Learning & Modelling Design, build, and validate predictive and prescriptive models. Apply statistical analysis and machine learning techniques to solve business problems. Optimise model performance and ensure scalability in production environments. Data Preparation & Exploration Clean, preprocess, and transform structured and unstructured data. Conduct exploratory data analysis (EDA) to identify key drivers and relationships. Collaborate with data engineers to ensure high-quality data pipelines. Collaboration & Business Engagement Work closely with cross-functional teams (e.g., IT, Finance, Operations, Marketing). Translate business requirements into analytical solutions. Support decision-making through scenario modelling and forecasting. Governance & Ethics Ensure models are explainable, transparent, and aligned with ethical AI principles. Support compliance with regulatory and data privacy requirements. Maintain documentation of methodologies and assumptions. #LI-JM1 #LI-Hybrid Qualifications Technical Skills Strong proficiency in Python and/or R. Advanced SQL skills. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of statistics, probability, and hypothesis testing. Experience with data visualisation tools (e.g., Power BI, Tableau, matplotlib, seaborn). Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous. Analytical Expertise Experience with regression, classification, clustering, and time series analysis. Model evaluation and validation techniques. A/B testing and experimentation frameworks. Tools & Technologies (Examples) Python (Pandas, NumPy, scikit-learn) R (optional but desirable) SQL Jupyter Notebooks Git Power BI / Tableau MLflow (desirable) Soft Skills Strong problem-solving and critical thinking skills. Excellent communication and storytelling ability. Ability to simplify complex analytical concepts. Commercial awareness and business acumen. Additional Information All staff are expected to embody our core values that underpin everything that we do and that reflect the skills and behaviours we all need to be successful. These are: We are CLIENT CENTRIC – Clients are at the centre of our world, and we’re committed to providing expertise and specialist solutions to meet their most complex challenges. We are AMBITIOUS – We aim high. We think and act globally, seizing every opportunity to delight our clients and support our colleagues - wherever in the world they may be. We are AGILE – We act on our initiative to get things done for our clients. Our independence gives us the flexibility and freedom to keep things simple, efficient and effective. We are COLLABORATIVE – With a curious mindset, we ask the right questions to get to the right solution, for our clients faster. We collaborate to win together and share our successes. We are ETHICAL – We behave with integrity at all times and assume positive intent, building trust through responsible actions and honest relationships. Equal Opportunities for Everyone Please let us know if there’s anything we can do to make the process easier for you. You can reach us at [email protected]. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. information will be kept confidential according to EEO guidelines. Region: UK, CI and Ireland Jurisdiction: Belfast

Responsibilities

The Data Scientist will develop predictive models and extract actionable insights from complex datasets to drive strategic business performance. They will collaborate with cross-functional teams to translate business requirements into analytical solutions while ensuring model governance and ethical AI compliance.