Data Science Associate Partner Job at Open Partners (Manchester)

Associate Digital Innovation Engineer - Data Science

We are looking for experienced data science professionals to be part of the data...

Location

India , Chennai

Salary:

Not provided

Buckman overview

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science/Data Analytics, Applied Mathematics, Statistics, Computer Science or related science and technical field
Experience in developing predictive and deep data analytics solutions and optimization scenarios involving expertise in data extraction, analysis, and visualization
Hands-on work experience with open-source data analytics toolsets such as R, Python, etc.
Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies
Exposure to data analytics and visualization platforms such as SAS, Rapidminer, MATLAB, Minitab, PowerBI, KNIME, PowerApps, etc.
Experience in cloud computing (Azure, AWS, etc.), data analytics architecture (Azure Machine Learning, Datalake analytics, Workbench, Stream Analytics, etc.) and data engineering technologies (Datalake, CosmosDB, Hadoop, SQL and No-SQL databases, etc.)
A demonstrated record of success with a verifiable portfolio of data science problems tackled in different domains
Strong communications skills in English and ability to work with global stakeholders effectively

Job Responsibility

Work closely with Buckman stakeholders to derive deep industry knowledge across leather, paper, water, and performance chemical industries
Help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers and augmenting capabilities with additional internal hires
Communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve problems in unique and novel ways
Working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions

Fulltime

Associate Data Engineer

You will be part of a world-class Data Engineering team, where you will influenc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or equivalent work experience) in a STEM field
Proficiency in Python or other modern programming language development experience
Proficiency in SQL and relational databases experience

Job Responsibility

influence product teams
collaborate with Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Associate Medical Data Analyst

The Senior Associate Medical Data Analyst will play a pivotal role in supporting...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Mathematics, Healthcare or a related field and 1+ year(s) of Medical Data Analytics, Commercial Data Analytics, Primary Market Research, Performance Reporting or related experience
Master’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 3+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience
Bachelor’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 5+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience

Job Responsibility

Translate complex analytical findings into clear, data-driven recommendations that enhance MSL engagement strategies and contribute to improved patient outcomes
Conduct data analysis across structured and unstructured datasets including but not limited to HCP sentiment, scientific engagement data, and publications
Design, develop, and maintain dashboards, reports, and visualizations to track performance, measure outcomes, and identify actionable trends using Python, R, SQL, Tableau, Power BI, or similar platforms
Understand pharmaceutical ecosystem and data sets including prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD), Lab as well as medical and pharmacy claims (ex. Symphony Claims.)
Establish and track KPIs to assess analytics impact and ensure alignment with business goals
Develop and deliver ad hoc data analyses that distill complex medical data into clear, actionable insights for stakeholders
Develop reusable code components, templates, and frameworks to support analytics scalability and lifecycle management
Collaborate with data science, IT, engineering, and external partners to ensure data access, integrity, governance, and seamless integration across platforms and systems
Contribute to Agile development workflows by collaborating in sprint planning, refining user stories, and delivering iterative analytics solutions aligned with business priorities
Continuously evaluate and introduce advanced techniques in visualization, predictive analytics, and automation

Associate Director, Data Strategy

We’re looking for an Associate Director of Data Strategy to join our fast-growin...

Location

United States

Salary:

120000.00 - 135000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

6+ years experience working in digital media and marketing environment
6+ years experience working with media data
Strong client-facing experience at a digital media or performance marketing agency or similar environment
Experience or familiarity with statistical concepts
Experience or familiarity with marketing analytics including Media Mix Modeling, Multi-Touch Attribution, and Incrementality Testing
Ability to collaborate with technical teams to define requirements for building data models and analytics for digital marketing by defining all the relevant KPIs and data sources, finding the best path for piping all relevant data into a database, and defining business rules for output in visualizations and advanced analysis
Strong proficiency in Excel, Google Sheets, and Google Slides
Excellent verbal communication skills, with the ability to understand the technical detail behind data utilization for digital marketing and the ability to explain it simply to non-technical audiences
Excellent project management skills, with the ability to work efficiently across multiple teams, clients, and timelines simultaneously
Experience with Customer Data Platforms such as Tealium or Segment

Job Responsibility

Serve as a thought leader on marketing measurement strategy, helping clients understand and operationalize advanced analytics solutions
Lead cross-functional strategic engagements across MMM, incrementality testing, causal impact analysis, and holistic measurement frameworks
Translate complex statistical concepts into actionable insights, recommendations, and value add for non-technical stakeholders
Design and oversee robust measurement frameworks that span multiple solutions (MMM, MTA, lift tests, attribution, etc.)
Partner with internal teams (data science, media, strategy, client success, Analytics Engineering, etc.) to ensure alignment between analytical rigor and marketing objectives
Work closely with paid media buyers to support analysis of performance measurement and utilize measurement solutions to define methods for optimizing campaign outcomes
Run weekly project management sprint sessions with cross-functional technical teams on dedicated clients as needs emerge or evolve, seeing tasks through to completion efficiently to improve the overall cycle time on task completion
Directly communicate with clients and internal stakeholders on data needs within your portfolio or tasks coming from the support queue
Partner with Data Strategy & Analytics leadership to design processes to efficiently deliver cohesive Data Strategy & Analytics services across technical teams to clients and internal stakeholders
Identify new measurement needs for our clients and work with cross-departmental teams to develop new solutions that can be delivered to clients at scale

What we offer

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Global Category Associate Director- Data Analytics and AI Platforms

We are seeking an individual who thrives in ambiguity, capable of driving catego...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Familiarity with procurement platforms such as Ariba, as well as ERP systems and advanced analytics tools to support decision-making and process automation
Excellent problem solving and organizational skills
Experience leading large, cross-functional teams and managing complex global projects in a matrixed environment
Experience managing analytics and AI/ML software procurement
Understanding of cloud data ecosystems (e.g., Snowflake, Databricks, AWS/Azure/Google AI)
Strong analytical skills with ability to assess large data sets and supplier performance
Doctorate degree and 14 years of Global Strategic Sourcing, Procurement or Commercial experience OR Master’s degree and 15 to 17 years & above experience of Global Strategic Sourcing, Procurement or Commercial experience OR Bachelor’s degree and 17-18 years of Global Strategic Sourcing, Procurement or Commercial experience
And 2 years of managerial experience directly managing people and/or leading teams, projects, or programs.

Job Responsibility

Lead and evolve the category strategy for Data Analytics and AI Platforms, enabling Amgen to leverage data-driven insights across R&D, Commercial, Operations and G&A functions
Partner with Digital, Data Science, and IT leaders to standardize platforms such as data lakes, analytics, and AI/ML environments
Evaluate emerging suppliers in data, AI, and predictive analytics to incorporate innovation responsibly
Design contracts balancing access to innovation with compliance, governance, and cost efficiency
Develop multi-year sourcing roadmaps to ensure data and AI platforms meet enterprise growth and compliance needs
Provide strategic oversight as the global lead for Software category and sourcing, ensuring alignment between category strategies and Amgen’s evolving business needs
Act as a trusted advisor to ensure that procurement initiatives are aligned with broader organizational objectives
Guide and facilitate collaboration across cross-functional teams and regional stakeholders
Ensure that all Software procurement activities are managed in compliance with regulatory, contractual, and operational risk requirements
Partner with Legal, Compliance, Data Privacy, and Cybersecurity teams to maintain oversight of risk mitigation strategies

Forward Deployed Engineer - Data-as-a-Service

Snorkel AI is hiring data scientists and engineers who will work directly on Sno...

Location

United States , New York City; Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

2+ years of experience in data science and engineering roles
Strong practical experience with Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
Familiarity with LLM-based workflows and applying ML techniques in production contexts
Experience leveraging Backend APIs and interpreting associated technical documentation

Job Responsibility

Partner with the Sales Team on client discovery calls to provide technical depth, assess solution fit, and scope Data-as-a-Service opportunities
Develop and present tailored technical assets including specifications, data dictionaries, sample datasets, and client-specific demonstrations to illustrate feasibility and value
Define project scope and success criteria in collaboration with customer stakeholders and internal delivery teams, ensuring alignment on technical requirements and capacity
Design and execute calibration processes including baseline batches, benchmark reports, and evaluation frameworks that establish measurable project success metrics
Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations
Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data
Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance
Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements
Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions
Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals

What we offer

Equity in the form of employee stock options

Fulltime

Associate Director, OutcomesAI

The Associate Director, OutcomesAI (OAI) will work closely with other team membe...

Location

United States , Boston

Salary:

100000.00 USD / Year

Project Evident

Expiration Date

Until further notice

Requirements

Bachelor’s degree required. Master’s preferred.
Experience working with diverse communities in strategic planning, data and evaluation, and a deep commitment to equitable outcomes.
8+ Years of experience working in the nonprofit or education sectors and in a consulting or technical assistance context.
5+ Years of experience in data science/technology adoption, leading high-performing teams, and delivering project and client engagements in education or workforce settings.
Experience using ML/AI to drive higher business performance or program outcomes.
Excellent oral and written communication skills, with a proven ability to write and copyedit clear and concise narratives and presentations.
Comfort with ambiguity and ability to respond adeptly to rapidly changing priorities, comfortable in an entrepreneurial environment with fast deadlines.
Demonstrated problem solver and active listener who seeks clarification, asks questions, and surfaces solutions.
Demonstrated experience managing clients and client projects.
Experience managing projects, processes, and teams, and proven ability to work under tight timelines, accurately assess problems, and develop solutions.

Job Responsibility

Engagement Management & Delivery (60%): Serve as project lead to deliver 1:1, 1:some, and 1:Many (i.e., cohort-style) engagements, responsible for projects that are on time, on budget, and high quality
Manage additional critical aspects of engagements, including creating and managing project plans
defining work streams
structuring and executing analyses
delegating responsibilities
deploying existing tools, resources, and frameworks
and providing actionable feedback.
Facilitate and support meetings, small cohorts, and larger communities of practice as needed (both in-person and virtual formats).
Incorporate program best practices and process improvements to strengthen the overall OAI program and support internal learning.
Work with the team and consultants to develop digital and non-digital content such as white papers and case studies, and create tools and resources.

What we offer

Comprehensive Benefits – Generous medical, dental, and vision plans, a 403(b) retirement plan with employer match, and life and disability insurance.
Flexible Time Off – Unlimited vacation days, Summer Fridays between Memorial Day and Labor Day, and organizational-wide closure from December 25 to January 1.

Fulltime

Product Manager, AI Data Pipelines & Developer Community

As a Product Manager for AI Data Pipelines & Developer Community, you will be in...

Location

United States , Campbell

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Proven experience in product management, particularly with a focus on data and AI-driven products
Strong understanding of technical data architectures, machine learning models, and AI applications in a business context
Demonstrated success in growing technical product adoption and developer communities
Experience working with large datasets, data pipelines, and data platforms
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical audiences
Proven ability to think strategically and execute methodically, translating complex problems into actionable solutions
A Bachelor’s degree in Computer Science, Data Science, Business, or a related field is preferred

Job Responsibility

Define and Drive Product Strategy: Develop and communicate a clear vision and roadmap for the AI data pipeline platform and associated developer tools, ensuring alignment with business goals and market needs
Build and Optimize AI Data Pipelines: Work closely with our product team and IT, end-users, data engineers and data scientists from our customers to build, optimize, and maintain scalable data pipelines that allow them to enrich, classify, curate data for AI agents for augmentation and inferencing
Translate User Needs into Product Requirements: Gather and prioritize user requirements, translating them into detailed product specifications and coordinating development efforts with engineering and data science teams
Champion Developer Experience: Understand the needs of the developer community, both internal and external, and develop tools, resources, and programs that enhance their experience building with our AI data platform. Investigate participation in partner developer communities and open-source communities
Grow and Engage the Developer Community: Lead efforts to foster a vibrant developer community, potentially through events, forums, technical content, and strategic outreach
Measure and Analyze Product Performance: Define and track key metrics to measure the success and impact of both the AI data platform and community engagement efforts, using data-driven insights to iterate and improve
Cross-Functional Collaboration: Partner effectively with cross-functional teams, including engineering, marketing, sales, and customer success, to ensure product vision alignment and drive successful execution
Stay Ahead of the Curve: Monitor industry trends, emerging technologies, and competitive offerings related to AI, data infrastructure, and developer ecosystems

Data Science Associate Partner

Open Partners

Location:
United Kingdom , Manchester

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 20, 2026

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