CrawlJobs Logo

Data Scientist

blackrock.com Logo

BlackRock Investments

Location Icon

Location:
United Kingdom , London

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

This role sits within the Private Markets Data Engineering (PMDE) team within Preqin, a part of BlackRock. Preqin is at the heart of how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio. In this role, you will develop market-leading data products, methodologies, models and analytics in private markets data for Preqin’s client base of institutional investors, fund managers and service providers. As a senior individual contributor and hands-on technical leader within a broader delivery team, you will work closely with business stakeholders to translate strategic objectives and user needs into data initiatives and technical solutions, operating without direct supervision and being accountable for technical outcomes. Your work will position BlackRock as the preeminent private markets technology and data provider, strengthening our ability to serve clients’ whole portfolios across public and private markets by combining investment, technology, and data solutions in one platform. This is a unique and exciting opportunity for someone who can innovate in the private markets data, algorithms and modelling space, has the technical know-how to explore the viability of new ideas, and has the communication skills to convey the benefits to the business and clients.

Job Responsibility:

  • You will work as a “full stack” data scientist, taking projects from problem formulation to production, independently, as part of a team, or as the team lead
  • Understand and translate business problems into smart, pragmatic, high-quality solutions that leverage quantitative, data-driven techniques
  • Define and run targeted analysis and experiments to reduce uncertainty before initiating long-term projects and critically evaluating the available options
  • Exemplify and demonstrate best-practice data science and machine learning across the business and ensure models are re-usable and continuously improved
  • Design and implement scalable, reliable data pipelines that ingest, process, and deliver high-quality data products to downstream applications
  • Enable in-production monitoring of data science and ML solutions
  • Design, guide and support data validation and quality assurance activities to assure and improve the robustness and quality of datasets
  • Author and maintain methodologies and client-facing documentation, and present results and recommendations clearly, succinctly, and honestly to a variety of audiences
  • Understand and maintain existing codebases and system architectures, as well as develop solutions from scratch
  • Collaborate with stakeholders, product owners, designers, analysts, engineers and other data scientists to design solutions which make sure our clients’ needs are met and the best technical solutions are adopted

Requirements:

  • Strong background in data science, computer science, applied mathematics, statistics, or another quantitative field
  • Strong programming skills in Python
  • Experience using foundational Python data science libraries (e.g. pandas, numpy, scikit-learn, …)
  • Experience with SQL and working with databases like Postgres and Snowflake
  • Experience of working within cloud environments (Azure and AWS preferred)
  • Comfortable with sourcing, cleaning, transforming, analysing and visualising data of wide range of types, volumes and quality
  • Confident with diverse techniques for testing code, data and systems
  • Track record of working as part of a data science or similar team and successfully delivering end-to-end analytics/ML/data science solutions in a commercial setting
  • A highly motivated, inquisitive, customer-centric collaborator, with a willingness to learn new technologies and ways of working, who demonstrates a “let’s do it” and “challenge accepted” attitude when faced with less well-known or challenging tasks
  • A data-driven approach to make development decisions based on robust analyses
  • Motivation to explore diverse and potentially unknown techniques
  • ability to propose creative, efficient, and effective solutions to new types of problems
  • Ability to communicate clearly and concisely at all seniority levels, with both technical and non-technical audience

Nice to have:

  • Software collaboration experience using version control, preferably Git
  • Experience using software development / deployment tools, platforms, and best practices e.g., CI/CD pipelines, Infra-as-code (Terraform) and containerization technology (Docker, Kubernetes)
  • Experience with AI-related technologies and products
  • familiarity with using AI coding assistants
  • Working knowledge of the financial services sector, private markets and alternative asset
What we offer:
  • retirement investment and tools designed to help you in building a sound financial future
  • access to education reimbursement
  • comprehensive resources to support your physical health and emotional well-being
  • family support programs
  • Flexible Time Off (FTO)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
March 23, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
BlackRock Investments - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Scientist

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...
Location
Location
United States , Bethesda, MD
Salary
Salary:
52.06 - 82.45 USD / Hour
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
  • Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
  • Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
  • Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
  • Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement
Job Responsibility
Job Responsibility
  • Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
  • Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
  • Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
  • Develop and implement segmentation and modeling strategies
  • Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
  • Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
  • Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
  • Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
  • Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
  • Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows
What we offer
What we offer
  • Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts
  • Fulltime
Read More
Arrow Right

Data Scientist

Barbaricum is currently seeking a Data Scientist to join our team, focusing on t...
Location
Location
United States , Fort Belvoir
Salary
Salary:
Not provided
barbaricum.com Logo
Barbaricum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Active DoD Secret Clearance
  • Bachelor’s Degree in Data Science, Computer Science, Information Systems, or a related field
  • A minimum of 7 years of experience in a related field, with a strong background in data analysis, data modeling, or a similar domain
  • Expertise in evaluating data elements, object names, and their attributes, with a keen eye for detail and accuracy
  • Data Governance Knowledge: Familiarity with data governance principles and practices, including the creation and maintenance of data dictionaries
  • Strong analytical and problem-solving skills, with the ability to assess complex data structures and ensure their correctness and consistency
  • Excellent communication skills, capable of clearly articulating technical concepts to non-technical stakeholders and working collaboratively with various teams
  • A self-starter who can work independently, manage multiple priorities, and drive projects to completion within tight deadlines
Job Responsibility
Job Responsibility
  • Technical Evaluation: Provide technical support in evaluating prime object names, data elements, and other objects to ensure they meet project requirements and standards
  • Object and Attribute Evaluation: Evaluate proposed objects and their attributes for clarity, conciseness, technical correctness, and singularity of concepts
  • Data Integrity Assurance: Ensure that the values of object attributes and their domains are accurate, correct, and consistent with the overall data and process models
  • Data Dictionary Maintenance: Create and maintain a comprehensive data dictionary that serves as a reference for the organization, ensuring all data elements are well-documented and easily accessible
  • Consistency and Compliance: Ensure proposed objects are consistent with existing data models and process models, adhering to best practices in data management and governance
  • Collaboration and Guidance: Work closely with data architects, analysts, and other stakeholders, providing expertise and guidance on data object definitions and structures
  • Fulltime
Read More
Arrow Right

Bilingual Data Scientist

Our enterprise-level client is seeking a bilingual Data Scientist with python co...
Location
Location
United States , Centennial
Salary
Salary:
35.00 - 55.00 USD / Hour
bhsg.com Logo
Beacon Hill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in a Data Scientist role (or as a Data Analyst)
  • Must be fluent in Spanish
  • Experience using different data mining techniques such as clustering, regression analysis, decision trees and support vector machines
  • Python (pandas libraries) & SQL (has database experience)
Job Responsibility
Job Responsibility
  • Support customer call centers with real time call transcription, including sentiment graphs and call summarization
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

The Community Growth team at the Wikimedia Foundation works to improve knowledge...
Location
Location
United States of America , San Francisco
Salary
Salary:
106227.00 - 167858.00 USD / Year
wikimediafoundation.org Logo
Wikimedia Foundation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluency in English
  • Bachelor’s degree and five years related experience OR a Master’s degree and at least three years related experience
  • or equivalent advanced work experience in data analysis, data science, research and analytics or a related field
  • Proven experience with programming languages, particularly SQL and Python
  • Experience calling and working with APIs in Python, including authentication, pagination, and JSON data handling
  • Experience working with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark)
  • Experience with data visualization and dashboarding tools like Apache Superset, Google Looker Studio, or similar tools
  • Experience with Google Suite (Including the full suite of collaborative apps and advanced coding in Google Sheets/MS Excel)
  • Ability to address problems of diverse scope using good judgment in selecting methods and techniques for obtaining quality and efficient solutions
  • Ability to communicate findings and recommendations clearly to colleagues with diverse backgrounds and areas of expertise
Job Responsibility
Job Responsibility
  • In partnership with the DL&E Manager, building data systems for grant-funded activities and outcomes that enable standardization and connection with our primary data pipelines
  • Creation and maintenance of internal data dashboards to track Community Growth programs' outcomes and impacts
  • Identifying actionable insights from trends and themes across datasets to inform reports and decision-making about grantmaking, partnerships, and programmatic interventions
  • Designing Community Growth data processes for maximum effectiveness, building data frames and connecting to pipelines for effective and efficient storage and retrieval, basic aggregation and ETL
  • Collaborating across departments, including with technology data teams, to ensure that calculation of metrics are aligned with Foundation-level metric practices
  • Proactively identifying requirements to support and improve an evolving data ecosystem
  • Fulltime
Read More
Arrow Right

Data Scientist

Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to s...
Location
Location
United States , Patuxent River
Salary
Salary:
Not provided
synecticsolutions.com Logo
Synectic Solutions Inc
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Must have a bachelor’s degree in a technical or scientific field from an accredited college or university
  • Must have a minimum of three (3) or more years of relevant work experience
  • Must have an active DoD Secret Clearance or higher
  • Must be a US Citizen
Job Responsibility
Job Responsibility
  • Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
  • Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
  • Visualize, interpret, and report data findings
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Data Science is all about breaking new ground to enable businesses to answer the...
Location
Location
United States , Round Rock, Texas; Hopkinton, Massachusetts
Salary
Salary:
160000.00 - 206000.00 USD / Year
dell.com Logo
Dell
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficient with writing sophisticated, clean, and object oriented Python code
  • Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) with experience in ML model deployment
  • Ability to work with internal stakeholders to transfer business questions into data science problem statements
  • Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists
  • 5+ years of experience as a data scientist
Job Responsibility
Job Responsibility
  • Contribute to business strategy and influence decision making based on information gained from deep dive analysis
  • Produce actionable and compelling recommendations by interpreting insights from complex data sets
  • Design processes to consolidate and examine unstructured data to generate actionable insights
  • Partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines
  • Solve business and customer issues utilizing AI/ML
  • Build prototypes and scalable AI/ML solutions that will be integrated into software products
  • Collaborate with software engineers, business stakeholders and product owners in an Agile environment
  • Have complete ownership of model outcomes and drive continuous improvement
What we offer
What we offer
  • Comprehensive Healthcare Programs
  • Award Winning Financial Wellness Tools and Resources
  • Generous Leave of Absence for New Parents and Caregivers
  • Industry Leading Wellness Platform
  • Employee Assistance Program
Read More
Arrow Right

Data Scientist

At LeverX, we have had the privilege of delivering over 950 projects. With 20+ y...
Location
Location
Salary
Salary:
Not provided
leverx.com Logo
LeverX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience as a Data Scientist
  • Hands-on experience with data analysis (probability theory and statistics, table data analysis experience) and statistical libraries such as SciPy or statsmodels
  • Knowledge and hands-on experience with machine learning, including both supervised and unsupervised learning, classical models, neural networks, and popular frameworks (scikit-learn, LightGBM, XGBoost, Keras, PyTorch, and TensorFlow)
  • Proficiency in Python and the ability to create APIs for developed solutions using tools such as FastAPI, Flask, Django REST framework, TensorFlow Serving, PyTorch Serving, Docker, and others
  • Experience with reporting and visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Altair, Jupyter Notebooks, Streamlit, TensorBoard) as well as with machine learning services offered by at least one major cloud provider (AWS, Azure, or GCP)
  • Understanding of DataOps and MLOps
  • Experience working according to Agile practices
  • English B2+
Job Responsibility
Job Responsibility
  • Collaborate closely with a distributed team of Data Scientists, Engineers, and stakeholders across various time zones
  • Own the full lifecycle of AI/ML solutions, from initial research and prototyping to model deployment and monitoring in production
  • Engage with business stakeholders to gather requirements, clarify goals, and translate them into data-driven solutions
  • Leverage cloud ML services and containerized APIs to build scalable machine learning pipelines
  • Apply classical ML models and neural networks using cutting-edge frameworks for a wide range of predictive and analytical tasks
  • Utilize AI tools extensively in the SDLC process
What we offer
What we offer
  • Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
  • Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
  • Global clients based in Europe and the US, including Fortune 500 companies
  • Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
  • Healthy work atmosphere: On average, our employees stay in the company for 4+ years
  • Market-based compensation and regular performance reviews
  • Internal expert communities and courses
  • Perks to support your growth and well-being
Read More
Arrow Right

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...
Location
Location
United States , San Francisco; New York City; Austin
Salary
Salary:
185300.00 - 266300.00 USD / Year
airtable.com Logo
Airtable
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
  • 6+ years of experience as a data scientist, data analyst, or data engineer
  • Experience supporting product development teams and driving product growth insight
  • Background in SaaS, consumer tech, or data-driven product environments preferred
  • Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
  • Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
  • Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
  • Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
  • Strong statistical foundation
  • Experience at an AI-native company, with exposure to building or scaling products powered by AI
Job Responsibility
Job Responsibility
  • Own and maintain core product data pipelines across DBT, Looker, and Omni
  • Build and refine dashboards that deliver self-serve, real-time insights
  • Lead the development and delivery of company-wide strategic insights
  • Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
  • Establish trusted partnerships as the go-to resource for product data insights
  • Collaborate with leadership to define the analytics roadmap and prioritize initiatives
  • Mentor junior team members and cross-functional partners
  • Support end-to-end analytics for all product launches
  • Deliver comprehensive strategic analyses or experiments
  • Lead or participate in cross-functional projects
What we offer
What we offer
  • Benefits
  • Restricted stock units
  • Incentive compensation
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy