Data Science Trainee Jobs

Partner with business leaders and product management to monetize data and enable business growth.

10+ years of data architecture, analytics development, or machine learning experience

Experience developing data strategy to enable business results

Interpersonal and leadership skills commensurate with senior IT levels

Extensive experience in at least one cloud platform (e.g., AWS) and associated machine learning services, e.g., Amazon SageMaker

Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and business leaders

Lead the successful implementation of new process analytics tools through cross-functional collaboration focused on requirements, design, and maintenance

Experienced with business informatics tools (e.g. Tableau, Power BI, Spotfire)

Ability to apply strong verbal and written communication skills in a dynamic, cross-functional matrix environment

Strong creative thinking and leadership skills

Prior experience working in a GMP environment and understanding of bioprocessing unit operations is a must

Family care benefits, including subsidized back-up care options and on-demand tutoring

Continuously collaborate with other business leads to innovate and build data-centric capabilities

Develop complex decision models which enhance and optimize selection and pricing

Automate machine learning model pipelines

Works on advanced, complex technical projects or business issues

·Do you want to work for one of the World’s leading Insurance organisations?

·Would you like to work for an organisation investing in advanced technologies?

No previous experience or qualifications required

Excellent communication and collaboration skills

Willingness to learn and continuously improve technical and professional skills

Assist with data collection, analysis, and interpretation

Develop and maintain data models, dashboards, and reports

Conduct data validation and quality checks

5+ years of professional experience in data science/analytics

Experience partnering with multiple teams across Adobe

Hands-on knowledge of descriptive and inferential statistics to understand usage behaviors and generate hypotheses

Experience crafting dashboards in Tableau or PowerBI

Experience with modern data science workflows on the cloud (Databricks, Git, Jupyter, Python, AWS, Azure)

Excellent communication, relationship skills, and a strong standout colleague

Apply advanced analytics to evaluate live investment opportunities, working collaboratively with the portfolio company management teams to enhance business value

7-10 years of experience in a data science role

Experience with data visualization tools such as Tableau or Power BI

Prior experience in financial services or consulting, particularly private equity, is strongly preferred

Source, incorporate, and analyze alternative datasets to support investment processes and drive innovation in our private equity business

Ensure a strong commitment to quantitative methods, algorithmic fairness, and data privacy across all aspects of the data analysis process

You’ll procure skills and knowledge on:

Having strong analytical and problem-solving skills

Basic understanding of Machine Learning concepts, and entry level Python programming skills.

You’ll have extensive experience on:

A passion for learning and self-improvement

Fluency in written and spoken English.

Experience, Qualifications, Knowledge and Skills:

Experience with big data using Spark(Pyspark, Scala) and knowledge of Spark Internals.

Experience with version control software (Git preferred), agile development experience, and knowledge of design patterns.

Advanced Python skills including popular data science libraries such as Pandas, Numpy, Matplotlib or similar.

Experience with Rust a big plus.

Strong health care data knowledge (medical claims data, clinical data, pharmacy data, and eligibility data) preferred.

Education requirements? B.S., M.S., or Ph.D

Knowledge of medical devices, genomics, molecular biology, or microbiology

Experience with programming languages such as Python or R

Collect, manage, analyze, and interpret complex scientific data from multiple sources to support technology development and clinical validation.

Strong analytical and problem-solving skills

Excellent communication skills and ability to present findings to non-technical stakeholders

Manager/Lead Data Science experience would be key

A vast experience of products (digital/technical etc.)

Experience setting up Data teams would be beneficial for this role, but not crucial

Must have experience of hiring mass contractors within data/analytics teams.

Previous history working within a retailer would be great.

Deep knowledge and experiences in Machine Learning and AI and its application.

Experience leading data scientists’ team

12+ years of hands on experience of building analytics solutions and the ability to conduct research utilizing Python, PySpark and SQL

Strong client collaboration skills, including the ability to build and maintain relationships with clients

Strong model development experiences for financial industry

5+ years of experience of development for Fraud prevention solutions

Provides leadership to managers, supervisors and/or professional roles.

Leads larger number of employees, multiple sub-teams, or large teams with complex or highly technical responsibilities.

Minimum of 12 years of related experience.

Looks beyond existing methodologies and own discipline to define and resolve complex problems, has in-depth knowledge of organizational objectives.

Regularly interacts with executives and/or major customers.

Unlimited industry projects: gain hands-on industry project experience and apply your knowledge and skills on solving real problems.

Strengthen your Resume and Portfolio: Work with a Hiring Manager from industry-leading companies

Practice Mock Interviews: Practice technical interviews with Principal Data Scientists, Machine Learning Engineers and improve your interview skills.

Remote and flexible: work remotely which you can do at your own pace from the comfort of your home.

Basic understanding of Machine Learning concepts, and Python programming skills

Take the Skills Review Survey: Take a 20-minute Machine Learning and Python assessment.

Manage primary research by speaking to physicians and clinicians across multiple geographies [10%]

Manage robust secondary research, synthesizing coherent key points from in-depth scientific papers [5%]

Rapidly develop an understanding of: [20%]

Disease pathologies including their physiological and immunological implications

Structure, composition, function and Physic-chemical properties of drugs, medical devices, and therapies including process conditions and quality control

Apply and adapt these understandings during primary research with clinical experts to drive towards key insights e.g., potential clinical implications [5%]

Previous experience with Streamlit is a huge plus.

10+ years experience as a Data Scientist or similar position

5+ years of experience in building, managing, and leading a high-performing data science team

Experience in using data science to optimize the user experience.

Mentor team members in areas of data engineering, analytics, statistics, and machine learning.

Masters Degree in Math/Statistics, Engineering, Computer Science, Science or related quantitative field

Excellent people and stakeholder management skills, to include strong influencing skills and ability to navigate a global and matrixed organization

Collaborate with product, finance, and other domains in order to shape differentiated analytical services and solutions that benefit the business

Serve as a bridge between product, finance, and other functional areas

Develop strategy and tactical solutions for advanced analytics capabilities that ensure PayPal is making data-driven decisions

Experience shaping business decision-making and impacting the business on a strategic-level through the delivery of best-in-class analysis

Experience building and leading analytics teams in a high-touch consumer-oriented environment

Prolonged periods sitting at a desk and working on a computer.

Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet.

Must be able to observe and communicate information on company provided laptop.

The ability to lift 15 pounds regularly.

1+ years of experience as a people-manager

You will collaborate with user research on mixed-methods insights and recommendations.

Build project roadmaps to provide strategic direction aligned with product teams goals

You value cross-disciplinary work and understand how to integrate qualitative research with your quantitative analysis

We are a distributed workforce enabling our band members to find a work mode that is best for them!

Where in the world? For this role, it can be within the Americas region in which we have a work location

Lead s Data Science s print p lanning and project management, coordinating efforts and prioritizing appropriately with stakeholders.

8-10 years of experience in a Data Science role building machine learning models and providing data-driven insights

1-2 years of experience in leading a Data Science Team

Experience in a programming/scripting language (e.g. Python (preferred), R, Java, C++ etc.)

Experience working in cross-functional teams

Experience working in Big Data and Cloud systems (e.g. AWS, DataBricks , S3, EMR, Hive, Presto) strongly preferred

Strong communications skills and leadership experience with a team preferred

3+ years of experience doing quantitative analysis in a financial setting with an understanding of relative value and market dynamics

Experience using AI & ML techniques to solve complex multi-dimensional problems preferred

Hands on experience utilizing Python, SQL and other programming tools

Work closely with engineering and data science teams to procure, analyze and validate data sources

Work closely with product support teams to validate methodologies and explain results where they are unexpected