Information Scientist (Content Analytics) Job at CK Group (Slough)

Marketing & GTM Specialist

Entalpic is a deep tech startup accelerating materials discovery, combining mach...

Location

France , Paris

Salary:

Not provided

Breega

Expiration Date

Until further notice

Requirements

Recent graduate or early career (0–2 years) with a business background
engineering or science background is a plus
First experience in marketing, GTM, strategy or growth ideally in a startup or fast-moving environment
Excellent communicator in English: you write clearly, adapt your tone to the audience (scientific, business), and take care in the quality of every word you use
French is a plus
Strong visual communication skills: you produce clean content autonomously on Canva or similar tools
Operationally proficient with AI tools (Claude, n8n, Dust, or similar): you use them daily, not occasionally
Entrepreneurial: you bring ideas, test them, and iterate without waiting for instructions
Genuine curiosity about deep tech: you engage with technical concepts without needing to be a scientist
Strong analytical skills: you structure information quickly and turn it into actionable output

Job Responsibility

Own Entalpic’s external communications: editorial calendar, blog posts, LinkedIn presence, press mentions, conference materials and client case studies
with a consistent voice across all channels
Translate complex science into compelling stories, in close collaboration with our scientific team
Manage Entalpic's conference and events presence: selection, preparation and follow-up
Maintain and adapt branding across all external channels
Conduct market and competitive analyses across our target verticals (semiconductors, catalysis, energy storage)
Run go-to-market studies to identify segments, personas, and routes to market
Own acquisition campaigns end-to-end: audience targeting, messaging, channel execution (Linkedin, email, events), and performance tracking
Build and operate outbound sequences and pipeline workflows in coordination with the business team
Support positioning and long-term market strategy in collaboration with leadership

What we offer

Competitive salary
Full transport reimbursement
Competitive health insurance (Alan)
Remote-friendly: min. 3 days/week at Station F, Paris
Access to industry conferences and internal learning sessions

Fulltime

Ai Engineering Associate Director

We are currently seeking a AI Engineering Associate Director to join our team in...

Location

United States , Plano

Salary:

151400.00 - 202500.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience
6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting
Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications
Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, LLM integration, model evaluation, and API-based model orchestration
Proficiency in Python and SQL, with experience using common data, AI, and application development libraries or frameworks
Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud
Experience working with APIs, databases, data pipelines, structured data, unstructured data, and enterprise integration patterns
Familiarity with software engineering practices such as Git, CI/CD, testing, code review, documentation, containerization, and deployment
Ability to build technically credible solutions while communicating clearly with both technical and non-technical audiences
Strong collaboration skills and ability to work with cross-functional teams in consulting, client delivery, product, or enterprise technology environments

Job Responsibility

Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains
Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools
Develop solutions using modern AI engineering patterns, including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural language processing, document intelligence, predictive analytics, and machine learning
Partner with solution architects, data scientists, cloud engineers, software developers, and business stakeholders to translate requirements into technical designs and working solutions
Build and maintain data pipelines, integration services, feature preparation workflows, knowledge bases, and model-ready datasets
Integrate AI models and services from major cloud providers, commercial model providers, open-source frameworks, and enterprise platforms
Create proofs of concept, prototypes, demos, and technical assets that validate feasibility, demonstrate business value, and support client conversations
Support the sales cycle by contributing to demo environments, technical walkthroughs, proposal content, estimates, and reusable solution components
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and implementation playbooks
Apply responsible AI practices, including model evaluation, guardrails, privacy controls, bias testing, explainability, monitoring, auditability, and human-in-the-loop design

What we offer

medical
dental
vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally-required benefits

Fulltime

Data Scientist II

Are you excited by the opportunity to use machine learning, NLP, and generative ...

Location

United Kingdom , London

Salary:

Not provided

myGwork - LGBTQ+ Business Community

Expiration Date

Until further notice

Requirements

Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area
Experience working with frontier LLMs such as OpenAI's GPTs, Anthropic's Claude, and Google's Gemini, including fine-tuning LLMs and/or SLMs
Strong Python skills and a habit of writing clean, maintainable, well-tested code
A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement
Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets
Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib
The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality
Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value

Job Responsibility

Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding
Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline
Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI
Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation
Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value
Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement
Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems
Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences

What we offer

healthy work/life balance
wellbeing initiatives
shared parental leave
study assistance
sabbaticals
flexible working hours

Fulltime

Data Scientist

Join us as a "Data Scientist" at Barclays, where you'll build analytical tools t...

Location

India , Gurugram

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Is It IC OR People Manager role – IC role
Educational Qualification – Graduation as a minimum
Bachelor or masters degree in data science (or similar) or equivalent commercial experience
Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment
Ability to translate technical work into business terms and communicate value to business stakeholders
Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques)
Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must
Familiarity with AWS data science and AI services, including SageMaker and Bedrock
Understanding of GenAI, LLMs and the RAG framework
Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools

Job Responsibility

Build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products
Work with technical teams, architects, designers, and administrators to overcome technical challenges
Take ownership of key initiatives to deliver results through an agile workflow
Design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance
Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI
Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank
Leverage AWS services for data transformation, feature engineering, AI product development and deployment
Communicate complex technical ideas to stakeholders via data visualisation
Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects

What we offer

Health and wellness
Gain access to wellness rooms, gyms and mental health support
A place where you can belong
Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions
Collaborative Areas
Modern spaces designed for teamwork and brainstorming
More than work
Be you. Be valued. Belong

Fulltime

Observational Research Director

We are currently hiring for an Observational Research Director to support the ob...

Location

United States

Salary:

187271.15 - 253366.85 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 4 years of scientific experience
Master's degree and 8 years of scientific experience
Bachelor's degree and 10 years of scientific experience
Doctorate in Epidemiology or other subject with high observational research content
Experience in the design, execution, and analysis of observational research studies within Pharmaceutical or Public Health setting
Experience in research to support drug development
Experience in observational research project planning and management
Excellent verbal and writing communication and interpersonal skills
Experience working in multi-disciplinary teams

Job Responsibility

Lead a team of epidemiologists to conceptualize, design, conduct, analyze, interpret and publish observational research supporting drug development programs and regulatory submissions, investigating post-marketing safety and effectiveness
Effectively lead, develop, and mentor a team of scientists
Be the technical expert in a cross-functional team to: identify evidence needs
develop the RWE plan to support the product development and commercialization strategy
and develop, maintain and expand a portfolio of observational research activities to support these strategies
Design and execute studies to support evidence generation such as identifying appropriate patient populations, assessing disease burden and resource utilization, obtaining product registrations and label-expansions, meeting post-marketing requirements/commitments, and product differentiation
Find opportunities to substitute for and/or complement interventional studies to reduce time and cost of drug development
Influence cross-functional team members as to the appropriate use and timing of non-interventional research to answer high-priority strategic business questions
Leverage real-world data and CfOR analytic approaches to inform high-value business decisions for multiple stakeholders
Track business and functional priorities and align resources against those priorities

What we offer

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans and bi-annual company-wide shutdowns
Flexible work models, including remote work arrangements, where possible

Fulltime

Senior Product Manager, Recommendations

We are looking for a Senior Product Manager to own and drive critical product ar...

Location

United States , San Jose

Salary:

195000.00 - 303000.00 USD / Year

Roku

Expiration Date

Until further notice

Requirements

7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
Clear, concise communicator: strong written and verbal skills
ability to present strategy, trade-offs, and recommendations to executive leadership
Experience in streaming, media, entertainment, or large-scale content platforms
Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)

Job Responsibility

Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions

What we offer

Health insurance
Equity awards
Life insurance
Disability benefits
Parental leave
Wellness benefits
Paid time off
Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)

Fulltime

Data Scientist

The Data Scientist role at NTT DATA involves leveraging data science and machine...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

4+ years of experience supporting data science projects in a consulting environment
4+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops
3+ years of experience using Python and/or R to analyze disparate datasets
Ability to travel at least 25%

Job Responsibility

Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction
Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders
Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes
Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered
Work with data sets of varying degrees of size and complexity including both structured and unstructured data
Piping and processing massive data-streams in distributed computing environments
Implement batch and real-time model scoring
Assemble large, complex data sets that meet functional / non-functional business requirements
Apply business knowledge to analyze data, develop reports and solve problems

Fulltime

Senior Data Scientist

We are currently seeking a Senior Data Scientist to join our team in Chennai, Ta...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience supporting data science projects in a consulting environment
7+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops
7+ years of experience using Python and/or R to analyze disparate datasets
Must have ability to both drive development as an individual developer as well as oversee more junior developers

Job Responsibility

Driving new data insights to uncover business opportunities & revenue streams
Have a firm understanding of statistics and data visualization for communication
Have an understanding of business growth areas & how to utilize important data
Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions
Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions
Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable
Be experienced in Data Wrangling and Dynamic Model Tuning
Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning
Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction
Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders

Fulltime

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Information Scientist (Content Analytics)

Job Description

Job Responsibility

Requirements

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